Project Part 2

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This notebook contains the code samples found in Chapter 3, Section 5 of Deep Learning with R. Note that the original text features far more content, in particular further explanations and figures: in this notebook, you will only find source code and related comments.

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Data Exploration & Preparation

• Our goal in the second part of the assignment is to predict how good a (new) customer will pay back their credit card depts. In the data set application data from current customers (the first 18 attributes) together with their status (last attribute; target) are given.
  
• The attributes from the applications are

Attribute Name	Explanation	Remarks
ID	Client	number
CODE_GENDER	Gender
FLAG_OWN_CAR	Is there a car
FLAG_OWN_REALTY	Is there a property
CNT_CHILDREN	Number of children
AMT_INCOME_TOTAL	Annual income
NAME_INCOME_TYPE	Income category
NAME_EDUCATION_TYPE	Education level
NAME_FAMILY_STATUS	Marital status
NAME_HOUSING_TYPE	Way of living
DAYS_BIRTH	Birthday	Count backwards from current day (0), -1 means yesterday
DAYS_EMPLOYED	Start date of employment	Count backwards from current day(0). If positive, it means the person unemployed.
FLAG_MOBIL	Is there a mobile phone
FLAG_WORK_PHONE	Is there a work phone
FLAG_PHONE	Is there a phone
FLAG_EMAIL	Is there an email
OCCUPATION_TYPE	Occupation
CNT_FAM_MEMBERS	Family size

• The last attribute status contains the “pay-back behavior”, i.e. when did that customer pay back their depts:
  • 0: 1-29 days past due
  • 1: 30-59 days past due
  • 2: 60-89 days overdue
  • 3: 90-119 days overdue
  • 4: 120-149 days overdue
  • 5: Overdue or bad debts, write-offs for more than 150 days
  • C: paid off that month
  • X: No loan for the month Please note: We are learning only the pay-back behavior. The decision, i.e. if we accept a customer or not, is done in another process step – not here!

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Main task

• Design your network. Why did you use a feed-forward network, or a convolutional or recursive network – and why not?
  
• Use k-fold validation (with k = 10) to find the best hyperparameters for your network.
• Use the average of the accuracy to evaluate the performance of your trained network.
• Find a “reasonable” good model. Argue why that model is reasonable. If you are not able to find a reasonable good model, explain what you all did to find a good model and argue why you think that’s not a good model.
  
• Save your trained neural network with save_model_hdf5. Also save your data sets you used for training, testing and validation.

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Some hints

• Data preprocessing is easier here; no feature engineering is needed.
• You may be able to reuse parts of the exercises we used in our examples during lectures.
• All in- and output values need to be floating numbers (or integers in exceptions) in the range of [0,1].
• Please note that a neural network expects a R matrix or vector, not data frames. Transform your data (e.g. a data frame) into a matrix with data.matrix if needed.
  
• There are some models which show an accuracy higher than 90% (!) for training (and test) data – after learning more than 1000 epochs.

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Important notes

• Single-label, Multiclass classification problem on page 73 in Deep Learning with R
• Spaces must be removed in between ‘{r}' and '’, else an error with ‘’ will be produced
• K-Fold Validation on page 83ff and 94ff in Deep Learning with R
• Page 110, use Last-Layer activation softmax and loss function categorical_crossentropy
• Convolutional network ausgeschlossen, weil hauptsächlich Pattern recognition/image classification
• Recursive ausgeschlossen, weil hauptsächlich für TimeSeries-Vorhersagen verwendet, oder für Vorhersagen
• Feed-Forward, weil Classification-Task

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Data import

#install.packages("tidymodels")
#install.packages("themis")
library(here)
library(tidyverse)
library(ggplot2)
library(dplyr)
library(tensorflow)
library(tfdatasets)
library(tidymodels)
library(keras)
library(caret)
library(themis)
#LOAD DATA
setwd(getwd())
dataIn = "../Data/Dataset-part-2.csv"
data_in <- read.csv(dataIn,header = TRUE, sep =',')
#View(data_in)
data <- data.frame(data_in)
summary(data)

       ID          CODE_GENDER        FLAG_OWN_CAR       FLAG_OWN_REALTY     CNT_CHILDREN     AMT_INCOME_TOTAL 
 Min.   :5008804   Length:67614       Length:67614       Length:67614       Min.   : 0.0000   Min.   :  26100  
 1st Qu.:5465941   Class :character   Class :character   Class :character   1st Qu.: 0.0000   1st Qu.: 112500  
 Median :5954270   Mode  :character   Mode  :character   Mode  :character   Median : 0.0000   Median : 157500  
 Mean   :5908133                                                            Mean   : 0.4206   Mean   : 178867  
 3rd Qu.:6289080                                                            3rd Qu.: 1.0000   3rd Qu.: 225000  
 Max.   :7965248                                                            Max.   :19.0000   Max.   :6750000  
 NAME_INCOME_TYPE   NAME_EDUCATION_TYPE NAME_FAMILY_STATUS NAME_HOUSING_TYPE    DAYS_BIRTH     DAYS_EMPLOYED   
 Length:67614       Length:67614        Length:67614       Length:67614       Min.   :-25201   Min.   :-17531  
 Class :character   Class :character    Class :character   Class :character   1st Qu.:-19438   1st Qu.: -2886  
 Mode  :character   Mode  :character    Mode  :character   Mode  :character   Median :-15592   Median : -1305  
                                                                              Mean   :-15914   Mean   : 62022  
                                                                              3rd Qu.:-12347   3rd Qu.:  -321  
                                                                              Max.   : -7489   Max.   :365243  
   FLAG_MOBIL FLAG_WORK_PHONE    FLAG_PHONE       FLAG_EMAIL     OCCUPATION_TYPE    CNT_FAM_MEMBERS 
 Min.   :1    Min.   :0.0000   Min.   :0.0000   Min.   :0.0000   Length:67614       Min.   : 1.000  
 1st Qu.:1    1st Qu.:0.0000   1st Qu.:0.0000   1st Qu.:0.0000   Class :character   1st Qu.: 2.000  
 Median :1    Median :0.0000   Median :0.0000   Median :0.0000   Mode  :character   Median : 2.000  
 Mean   :1    Mean   :0.2028   Mean   :0.2742   Mean   :0.1005                      Mean   : 2.174  
 3rd Qu.:1    3rd Qu.:0.0000   3rd Qu.:1.0000   3rd Qu.:0.0000                      3rd Qu.: 3.000  
 Max.   :1    Max.   :1.0000   Max.   :1.0000   Max.   :1.0000                      Max.   :20.000  
    status         
 Length:67614      
 Class :character  
 Mode  :character  
                   
                   
                   

plot(data$status)

##Cleanup

# Check for duplicates 
sum(duplicated(data))

[1] 0

# No duplicates

#Remove ID (irrelevant) and FLAG_MOBIL (always 1)
data <- data %>% select(-ID, -FLAG_MOBIL)
cols <- c("CODE_GENDER","FLAG_OWN_CAR","FLAG_OWN_REALTY","NAME_INCOME_TYPE","NAME_EDUCATION_TYPE", "NAME_FAMILY_STATUS", "NAME_HOUSING_TYPE","FLAG_WORK_PHONE","FLAG_PHONE","FLAG_EMAIL", "OCCUPATION_TYPE","status")
cols

 [1] "CODE_GENDER"         "FLAG_OWN_CAR"        "FLAG_OWN_REALTY"     "NAME_INCOME_TYPE"   
 [5] "NAME_EDUCATION_TYPE" "NAME_FAMILY_STATUS"  "NAME_HOUSING_TYPE"   "FLAG_WORK_PHONE"    
 [9] "FLAG_PHONE"          "FLAG_EMAIL"          "OCCUPATION_TYPE"     "status"             

data[cols] <- lapply(data[cols],factor)

# Replacing empty values with "Unknown"
levels(data$OCCUPATION_TYPE) <- c(levels(data$OCCUPATION_TYPE), "Unknown")
data$OCCUPATION_TYPE[is.na(data$OCCUPATION_TYPE)] <- "Unknown"

# Replacing C and X in Status
levels(data$status)[levels(data$status)=="C"] <- "6"
#data$status[data$status == "X"] <- 7
levels(data$status)[levels(data$status)=="X"] <- "7"
# #Convert factors into numericals
# data %<>% mutate_if(is.factor, as.numeric)

summary(data)

 CODE_GENDER FLAG_OWN_CAR FLAG_OWN_REALTY  CNT_CHILDREN     AMT_INCOME_TOTAL              NAME_INCOME_TYPE
 F:43924     N:43107      N:21090         Min.   : 0.0000   Min.   :  26100   Commercial associate:15640  
 M:23690     Y:24507      Y:46524         1st Qu.: 0.0000   1st Qu.: 112500   Pensioner           :11982  
                                          Median : 0.0000   Median : 157500   State servant       : 5044  
                                          Mean   : 0.4206   Mean   : 178867   Student             :    4  
                                          3rd Qu.: 1.0000   3rd Qu.: 225000   Working             :34944  
                                          Max.   :19.0000   Max.   :6750000                               
                                                                                                          
                    NAME_EDUCATION_TYPE            NAME_FAMILY_STATUS           NAME_HOUSING_TYPE
 Academic degree              :   38    Civil marriage      : 6016    Co-op apartment    :  227  
 Higher education             :16890    Married             :44906    House / apartment  :60307  
 Incomplete higher            : 2306    Separated           : 4125    Municipal apartment: 2303  
 Lower secondary              :  716    Single / not married: 9528    Office apartment   :  587  
 Secondary / secondary special:47664    Widow               : 3039    Rented apartment   : 1020  
                                                                      With parents       : 3170  
                                                                                                 
   DAYS_BIRTH     DAYS_EMPLOYED    FLAG_WORK_PHONE FLAG_PHONE FLAG_EMAIL    OCCUPATION_TYPE  CNT_FAM_MEMBERS 
 Min.   :-25201   Min.   :-17531   0:53904         0:49071    0:60819    Unknown    :20699   Min.   : 1.000  
 1st Qu.:-19438   1st Qu.: -2886   1:13710         1:18543    1: 6795    Laborers   :12425   1st Qu.: 2.000  
 Median :-15592   Median : -1305                                         Sales staff: 6899   Median : 2.000  
 Mean   :-15914   Mean   : 62022                                         Core staff : 6059   Mean   : 2.174  
 3rd Qu.:-12347   3rd Qu.:  -321                                         Managers   : 4950   3rd Qu.: 3.000  
 Max.   : -7489   Max.   :365243                                         Drivers    : 4427   Max.   :20.000  
                                                                         (Other)    :12155                   
     status     
 0      :52133  
 1      : 6491  
 7      : 5790  
 6      : 1805  
 2      :  712  
 5      :  374  
 (Other):  309  

Preprocessing

set.seed(1)
trainIndex <- initial_split(data, prop = 0.8, strata = status) 
trainingSet <- training(trainIndex)
testSet <- testing(trainIndex)
status_folds <- vfold_cv(trainingSet, v = 10, strata = status)
status_folds

#  10-fold cross-validation using stratification 

# Remove outliers (Out of 1.5x Interquartile Range) only on training set
# CNT_CHILDREN
boxplot(trainingSet$CNT_CHILDREN, horizontal=TRUE, main="CNT_CHILDREN")

Q1_Child <- quantile(trainingSet$CNT_CHILDREN, .25)
Q3_Child <- quantile(trainingSet$CNT_CHILDREN, .75)
IQR_Child <- IQR(trainingSet$CNT_CHILDREN)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$CNT_CHILDREN > (Q1_Child - 1.5*IQR_Child) & trainingSet$CNT_CHILDREN < (Q3_Child + 1.5*IQR_Child))
dim(trainingSet)

[1] 53330    17

# AMT_INCOME_TOTAL
boxplot(trainingSet$AMT_INCOME_TOTAL, horizontal=TRUE, main="AMT_INCOME_TOTAL")

Q1_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .25)
Q3_AIT <- quantile(trainingSet$AMT_INCOME_TOTAL, .75)
IQR_AIT <- IQR(trainingSet$AMT_INCOME_TOTAL)
# Now we keep the values within 1.5*IQR of Q1 and Q3
trainingSet <- subset(trainingSet, trainingSet$AMT_INCOME_TOTAL > (Q1_AIT - 1.5*IQR_AIT) & trainingSet$AMT_INCOME_TOTAL < (Q3_AIT + 1.5*IQR_AIT))
dim(trainingSet)

[1] 51748    17

set.seed(5)
preprocRecipe <-
  recipe(status ~., data = data) %>%
  step_dummy(all_nominal(), -status,  one_hot = TRUE) %>%
  step_range(all_predictors(), -all_nominal(), min = 0, max = 1)%>%
 # step_downsample(status, over_ratio = 1) %>%
 step_smote(status, over_ratio = 0.25, skip=TRUE) %>%
 # step_smotenc(status, over_ratio = 1) %>%
 #step_adasyn(status, over_ratio = 1) %>%
 #step_nearmiss(status, over_ratio = 1) %>%
   
  step_dummy(status,  one_hot = TRUE)# %>%

In this step the above defined receipt is extracted using the prep() function, and then use the bake() function to transform a set of data based on that recipe.

# retain = TRUE and new_data = NULL ensures that pre-processed trainingSet is returned 
trainingSet_processed <- preprocRecipe %>%
  prep(trainingSet, retain = TRUE) %>%
  bake(new_data = NULL)
testSet_processed <- preprocRecipe %>%
  prep(testSet) %>%
  bake(new_data =testSet)

#summary(trainingSet_processed)

Check data

# Turn data frame into data matrix
matrix_data <- trainingSet_processed %>% select(-tail(names(trainingSet_processed), 8))
matrix_targets <- trainingSet_processed %>% select(tail(names(trainingSet_processed), 8))

matrix_data_test  <- testSet_processed %>% select(-tail(names(testSet_processed), 8))
matrix_targets_test  <- testSet_processed %>% select(tail(names(testSet_processed), 8))

# summarize the class distribution
percentage <- 100-prop.table(table(data$status)) * 100

#class_counts <- table(data$status)
class_counts <- matrix_targets %>%
  summarize_all(funs(sum(. == 1)))
majority_class_count <- max(class_counts)
relative_class_counts <-  majority_class_count /class_counts

cbind(freq=table(data$status), percentage=percentage)

   freq percentage
0 52133   22.89615
1  6491   90.39992
2   712   98.94696
3   195   99.71160
4   114   99.83140
5   374   99.44686
6  1805   97.33043
7  5790   91.43668

#Subset only 100 entries for testing
#matrix_data <- matrix_data[1:100, ]
#matrix_targets <- matrix_targets[1:100, ]

Build Model

#train_data <- matrix_data
train_data <- data.matrix(matrix_data)
test_data <- data.matrix(matrix_data_test)
train_targets <- data.matrix(matrix_targets)
test_targets <- data.matrix(matrix_targets_test)



# Function to build the model
build_model <- function() {
  model <- keras_model_sequential() %>%
    #layer_batch_normalization(axis = -1L, input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu", input_shape = dim(train_data)[[2]]) %>%
    layer_dense(units = 64, activation = "relu") %>%
    #layer_dropout(0.3) %>%
    layer_dense(units = 128, activation = "relu") %>%
    #layer_dense(units = 256, activation = "relu") %>%
    layer_dense(units = 128, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 64, activation = "relu") %>%
    layer_dense(units = 8, activation = "softmax") 

  model %>% compile(
    optimizer = optimizer_sgd(learning_rate = 0.1),
    loss = "categorical_crossentropy",
    metrics = "categorical_accuracy"
  )

}

#Yannick
#install.packages("kerasR")
# library(kerasR)
# model <- keras_model_sequential()
# model %>% 
#          layer_dense(units = 64, activation = 'relu', dim(train_data)[[2]]) %>% 
#          layer_dropout(rate = 0.2) %>% 
#          # layer_dense(units = 30, activation = 'relu') %>% 
#          # layer_dropout(rate = 0.3) %>%    
#          layer_dense(units = 20, activation = 'relu') %>% 
#          layer_dropout(rate = 0.2) %>%  
#          layer_dense(units = 8, activation = 'softmax')
# summary(model)
# model %>% 
#          compile(loss = 'categorical_crossentropy',
#                  optimizer = 'adam',
#                  metrics = 'accuracy')
# history <- model %>% 
#          fit(train_data,
#              train_targets,
#              epochs = 1500,
#              batch_size = 1024,
#              validation_split = 0.2,
#              verbose =2,
#              class_weight = list(relative_class_counts))
# plot(history)
# model %>% 
#          evaluate(test_data, test_targets)
# pred <- model %>% 
#          predict(test_data)
# pred <- apply(pred, MARGIN = 2, which.max)
# dim(keras_predict(mod, test_data))
# pred <- model %>% predict(test_data, batch_size = 32)
# y_pred = round(pred)
# # Confusion matrix
# library(caret)
# confusion_matrix <- caret::confusionMatrix(matrix(pred), matrix(test_targets))
# length(test_targets)
# table(Predicted = round(pred), Actual = test_targets)

K-Fold-Validation

k <- 10
indices <- sample(1:nrow(train_data))
folds <- cut(indices, breaks = k, labels = FALSE)

num_epochs <- 1500
all_acc_histories <- NULL
for (i in 1:k) {
  cat("processing fold #", i, "\n")

  val_indices <- which(folds == i, arr.ind = TRUE)
  val_data <- train_data[val_indices,] #test_data#
  val_targets <- train_targets[val_indices,] #test_targets#

  partial_train_data <- train_data[-val_indices,]
  partial_train_targets <- train_targets[-val_indices,]
  model <- build_model()

  # Train the model (in silent mode, verbose=0)
  # Batch size https://stats.stackexchange.com/questions/153531/what-is-batch-size-in-neural-network
  # One epoch = one forward pass and one backward pass of all the training examples
  # Batch size = the number of training examples in one forward/backward pass. The higher the batch size, the more memory space you'll need.
  # Number of iterations = number of passes, each pass using [batch size] number of examples. To be clear, one pass = one forward pass + one backward pass (we do not count the forward pass and backward pass as two different passes).
  # Batch size 32 much faster than 1, also the smaller the batch the less accurate the estimate of the gradient will be.
  history <- model %>% fit(
    partial_train_data, partial_train_targets,
    validation_data = list(val_data, val_targets),
    epochs = num_epochs, batch_size = 2048, verbose = 2#, class_weights = percentage
  )
  acc_history <- history$metrics$val_categorical_accuracy
  all_acc_histories <- rbind(all_acc_histories, acc_history)
}

processing fold # 1 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0092s vs `on_train_batch_end` time: 0.0105s). Check your callbacks.

49/49 - 1s - loss: 1.9264 - categorical_accuracy: 0.3522 - val_loss: 1.8687 - val_categorical_accuracy: 0.3721 - 1s/epoch - 29ms/step
Epoch 2/1500
49/49 - 1s - loss: 1.8735 - categorical_accuracy: 0.3627 - val_loss: 1.8498 - val_categorical_accuracy: 0.3721 - 514ms/epoch - 10ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8505 - categorical_accuracy: 0.3627 - val_loss: 1.8199 - val_categorical_accuracy: 0.3721 - 441ms/epoch - 9ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.8109 - categorical_accuracy: 0.3631 - val_loss: 1.7709 - val_categorical_accuracy: 0.3762 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.7480 - categorical_accuracy: 0.3841 - val_loss: 1.6924 - val_categorical_accuracy: 0.4249 - 426ms/epoch - 9ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.6870 - categorical_accuracy: 0.4195 - val_loss: 1.6366 - val_categorical_accuracy: 0.4294 - 424ms/epoch - 9ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.6025 - categorical_accuracy: 0.4493 - val_loss: 1.5242 - val_categorical_accuracy: 0.4702 - 426ms/epoch - 9ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.5336 - categorical_accuracy: 0.4695 - val_loss: 1.4324 - val_categorical_accuracy: 0.5053 - 451ms/epoch - 9ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.4677 - categorical_accuracy: 0.4908 - val_loss: 1.4138 - val_categorical_accuracy: 0.5147 - 418ms/epoch - 9ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.4124 - categorical_accuracy: 0.5080 - val_loss: 1.4989 - val_categorical_accuracy: 0.4717 - 429ms/epoch - 9ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3780 - categorical_accuracy: 0.5192 - val_loss: 1.3621 - val_categorical_accuracy: 0.5250 - 425ms/epoch - 9ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.3419 - categorical_accuracy: 0.5317 - val_loss: 1.2749 - val_categorical_accuracy: 0.5576 - 429ms/epoch - 9ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2829 - categorical_accuracy: 0.5472 - val_loss: 1.3679 - val_categorical_accuracy: 0.5186 - 405ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.3033 - categorical_accuracy: 0.5421 - val_loss: 1.2777 - val_categorical_accuracy: 0.5550 - 432ms/epoch - 9ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.2474 - categorical_accuracy: 0.5595 - val_loss: 1.2297 - val_categorical_accuracy: 0.5646 - 437ms/epoch - 9ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.2386 - categorical_accuracy: 0.5618 - val_loss: 1.1699 - val_categorical_accuracy: 0.5794 - 420ms/epoch - 9ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1862 - categorical_accuracy: 0.5771 - val_loss: 1.1498 - val_categorical_accuracy: 0.5815 - 436ms/epoch - 9ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1897 - categorical_accuracy: 0.5750 - val_loss: 1.1020 - val_categorical_accuracy: 0.6133 - 414ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.1224 - categorical_accuracy: 0.5964 - val_loss: 1.2057 - val_categorical_accuracy: 0.5761 - 426ms/epoch - 9ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.1071 - categorical_accuracy: 0.6043 - val_loss: 1.0656 - val_categorical_accuracy: 0.6150 - 423ms/epoch - 9ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0698 - categorical_accuracy: 0.6156 - val_loss: 1.1547 - val_categorical_accuracy: 0.5826 - 407ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.1792 - categorical_accuracy: 0.5880 - val_loss: 1.1099 - val_categorical_accuracy: 0.5981 - 421ms/epoch - 9ms/step
Epoch 23/1500
49/49 - 0s - loss: 1.0365 - categorical_accuracy: 0.6253 - val_loss: 1.0271 - val_categorical_accuracy: 0.6312 - 423ms/epoch - 9ms/step
Epoch 24/1500
49/49 - 1s - loss: 1.0809 - categorical_accuracy: 0.6156 - val_loss: 1.0875 - val_categorical_accuracy: 0.6043 - 615ms/epoch - 13ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9928 - categorical_accuracy: 0.6398 - val_loss: 1.1857 - val_categorical_accuracy: 0.5563 - 424ms/epoch - 9ms/step
Epoch 26/1500
49/49 - 0s - loss: 1.0086 - categorical_accuracy: 0.6341 - val_loss: 0.9301 - val_categorical_accuracy: 0.6682 - 426ms/epoch - 9ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9712 - categorical_accuracy: 0.6487 - val_loss: 0.9700 - val_categorical_accuracy: 0.6474 - 419ms/epoch - 9ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9603 - categorical_accuracy: 0.6548 - val_loss: 0.9607 - val_categorical_accuracy: 0.6535 - 488ms/epoch - 10ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9330 - categorical_accuracy: 0.6610 - val_loss: 0.8872 - val_categorical_accuracy: 0.6834 - 436ms/epoch - 9ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.9348 - categorical_accuracy: 0.6589 - val_loss: 0.9335 - val_categorical_accuracy: 0.6617 - 397ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.9238 - categorical_accuracy: 0.6679 - val_loss: 0.8753 - val_categorical_accuracy: 0.6893 - 388ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.9622 - categorical_accuracy: 0.6533 - val_loss: 0.8821 - val_categorical_accuracy: 0.6864 - 372ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8697 - categorical_accuracy: 0.6847 - val_loss: 0.8500 - val_categorical_accuracy: 0.7013 - 424ms/epoch - 9ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8775 - categorical_accuracy: 0.6788 - val_loss: 0.8346 - val_categorical_accuracy: 0.6963 - 411ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8663 - categorical_accuracy: 0.6856 - val_loss: 0.8411 - val_categorical_accuracy: 0.6990 - 438ms/epoch - 9ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.8777 - categorical_accuracy: 0.6826 - val_loss: 0.8119 - val_categorical_accuracy: 0.7086 - 455ms/epoch - 9ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8207 - categorical_accuracy: 0.7000 - val_loss: 1.0004 - val_categorical_accuracy: 0.6454 - 372ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.8199 - categorical_accuracy: 0.6999 - val_loss: 0.9929 - val_categorical_accuracy: 0.6303 - 400ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.8075 - categorical_accuracy: 0.7044 - val_loss: 0.7850 - val_categorical_accuracy: 0.7193 - 393ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.8009 - categorical_accuracy: 0.7060 - val_loss: 0.7665 - val_categorical_accuracy: 0.7245 - 407ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7977 - categorical_accuracy: 0.7055 - val_loss: 0.9446 - val_categorical_accuracy: 0.6500 - 411ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7704 - categorical_accuracy: 0.7150 - val_loss: 0.8041 - val_categorical_accuracy: 0.7017 - 424ms/epoch - 9ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.8179 - categorical_accuracy: 0.7004 - val_loss: 0.7402 - val_categorical_accuracy: 0.7323 - 426ms/epoch - 9ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7405 - categorical_accuracy: 0.7238 - val_loss: 0.7519 - val_categorical_accuracy: 0.7182 - 427ms/epoch - 9ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7405 - categorical_accuracy: 0.7234 - val_loss: 0.8073 - val_categorical_accuracy: 0.7070 - 442ms/epoch - 9ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.8978 - categorical_accuracy: 0.6874 - val_loss: 0.7327 - val_categorical_accuracy: 0.7254 - 423ms/epoch - 9ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7240 - categorical_accuracy: 0.7298 - val_loss: 0.9308 - val_categorical_accuracy: 0.6619 - 423ms/epoch - 9ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7186 - categorical_accuracy: 0.7316 - val_loss: 0.7582 - val_categorical_accuracy: 0.7277 - 408ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.7742 - categorical_accuracy: 0.7187 - val_loss: 0.7232 - val_categorical_accuracy: 0.7278 - 421ms/epoch - 9ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7011 - categorical_accuracy: 0.7363 - val_loss: 0.7543 - val_categorical_accuracy: 0.7109 - 422ms/epoch - 9ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.7947 - categorical_accuracy: 0.7134 - val_loss: 0.7308 - val_categorical_accuracy: 0.7288 - 437ms/epoch - 9ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.6741 - categorical_accuracy: 0.7500 - val_loss: 0.8022 - val_categorical_accuracy: 0.6817 - 425ms/epoch - 9ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.7005 - categorical_accuracy: 0.7399 - val_loss: 0.7398 - val_categorical_accuracy: 0.7246 - 409ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6596 - categorical_accuracy: 0.7515 - val_loss: 0.6731 - val_categorical_accuracy: 0.7503 - 442ms/epoch - 9ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6779 - categorical_accuracy: 0.7451 - val_loss: 0.7360 - val_categorical_accuracy: 0.7234 - 427ms/epoch - 9ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.7022 - categorical_accuracy: 0.7387 - val_loss: 0.6640 - val_categorical_accuracy: 0.7541 - 485ms/epoch - 10ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6448 - categorical_accuracy: 0.7564 - val_loss: 0.7675 - val_categorical_accuracy: 0.7166 - 439ms/epoch - 9ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.7479 - categorical_accuracy: 0.7270 - val_loss: 0.6677 - val_categorical_accuracy: 0.7579 - 381ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6253 - categorical_accuracy: 0.7653 - val_loss: 0.6833 - val_categorical_accuracy: 0.7411 - 410ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6402 - categorical_accuracy: 0.7579 - val_loss: 0.6361 - val_categorical_accuracy: 0.7643 - 382ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6628 - categorical_accuracy: 0.7513 - val_loss: 0.6977 - val_categorical_accuracy: 0.7359 - 399ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6349 - categorical_accuracy: 0.7599 - val_loss: 0.9305 - val_categorical_accuracy: 0.6853 - 370ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6527 - categorical_accuracy: 0.7569 - val_loss: 0.6865 - val_categorical_accuracy: 0.7406 - 416ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6216 - categorical_accuracy: 0.7659 - val_loss: 0.6555 - val_categorical_accuracy: 0.7567 - 410ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6468 - categorical_accuracy: 0.7584 - val_loss: 0.6225 - val_categorical_accuracy: 0.7721 - 394ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6084 - categorical_accuracy: 0.7708 - val_loss: 0.6247 - val_categorical_accuracy: 0.7685 - 370ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.6287 - categorical_accuracy: 0.7645 - val_loss: 1.7196 - val_categorical_accuracy: 0.4990 - 378ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.7551 - categorical_accuracy: 0.7353 - val_loss: 0.6352 - val_categorical_accuracy: 0.7668 - 406ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.6507 - categorical_accuracy: 0.7623 - val_loss: 0.5992 - val_categorical_accuracy: 0.7771 - 440ms/epoch - 9ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5922 - categorical_accuracy: 0.7735 - val_loss: 0.6013 - val_categorical_accuracy: 0.7717 - 470ms/epoch - 10ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.6242 - categorical_accuracy: 0.7662 - val_loss: 0.5922 - val_categorical_accuracy: 0.7783 - 350ms/epoch - 7ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5710 - categorical_accuracy: 0.7829 - val_loss: 0.6315 - val_categorical_accuracy: 0.7612 - 350ms/epoch - 7ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5832 - categorical_accuracy: 0.7793 - val_loss: 0.7096 - val_categorical_accuracy: 0.7373 - 340ms/epoch - 7ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5718 - categorical_accuracy: 0.7819 - val_loss: 0.5750 - val_categorical_accuracy: 0.7856 - 320ms/epoch - 7ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.6126 - categorical_accuracy: 0.7721 - val_loss: 0.5784 - val_categorical_accuracy: 0.7841 - 328ms/epoch - 7ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5611 - categorical_accuracy: 0.7859 - val_loss: 0.6142 - val_categorical_accuracy: 0.7725 - 351ms/epoch - 7ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5891 - categorical_accuracy: 0.7795 - val_loss: 0.5847 - val_categorical_accuracy: 0.7832 - 483ms/epoch - 10ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5615 - categorical_accuracy: 0.7874 - val_loss: 0.5600 - val_categorical_accuracy: 0.7918 - 476ms/epoch - 10ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5587 - categorical_accuracy: 0.7886 - val_loss: 0.7113 - val_categorical_accuracy: 0.7447 - 360ms/epoch - 7ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.6816 - categorical_accuracy: 0.7572 - val_loss: 0.5798 - val_categorical_accuracy: 0.7812 - 340ms/epoch - 7ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5417 - categorical_accuracy: 0.7963 - val_loss: 1.1909 - val_categorical_accuracy: 0.6630 - 361ms/epoch - 7ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5748 - categorical_accuracy: 0.7847 - val_loss: 0.5926 - val_categorical_accuracy: 0.7796 - 340ms/epoch - 7ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5444 - categorical_accuracy: 0.7955 - val_loss: 0.5948 - val_categorical_accuracy: 0.7804 - 360ms/epoch - 7ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5386 - categorical_accuracy: 0.7948 - val_loss: 0.5250 - val_categorical_accuracy: 0.8001 - 360ms/epoch - 7ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.7916 - categorical_accuracy: 0.7321 - val_loss: 0.7338 - val_categorical_accuracy: 0.7417 - 409ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5521 - categorical_accuracy: 0.7956 - val_loss: 0.5821 - val_categorical_accuracy: 0.7796 - 475ms/epoch - 10ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5234 - categorical_accuracy: 0.8028 - val_loss: 0.6689 - val_categorical_accuracy: 0.7645 - 350ms/epoch - 7ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5451 - categorical_accuracy: 0.7971 - val_loss: 0.5374 - val_categorical_accuracy: 0.8005 - 340ms/epoch - 7ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5154 - categorical_accuracy: 0.8046 - val_loss: 0.5509 - val_categorical_accuracy: 0.7917 - 340ms/epoch - 7ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5204 - categorical_accuracy: 0.8031 - val_loss: 0.5809 - val_categorical_accuracy: 0.7733 - 340ms/epoch - 7ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5207 - categorical_accuracy: 0.8031 - val_loss: 0.6062 - val_categorical_accuracy: 0.7664 - 369ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5014 - categorical_accuracy: 0.8111 - val_loss: 0.5270 - val_categorical_accuracy: 0.8073 - 460ms/epoch - 9ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.5079 - categorical_accuracy: 0.8080 - val_loss: 0.5785 - val_categorical_accuracy: 0.7728 - 370ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.5124 - categorical_accuracy: 0.8061 - val_loss: 0.6007 - val_categorical_accuracy: 0.7791 - 380ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4981 - categorical_accuracy: 0.8124 - val_loss: 0.5162 - val_categorical_accuracy: 0.8049 - 360ms/epoch - 7ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.5028 - categorical_accuracy: 0.8101 - val_loss: 0.5728 - val_categorical_accuracy: 0.7885 - 470ms/epoch - 10ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.7170 - categorical_accuracy: 0.7659 - val_loss: 0.5186 - val_categorical_accuracy: 0.8092 - 328ms/epoch - 7ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4931 - categorical_accuracy: 0.8134 - val_loss: 0.5645 - val_categorical_accuracy: 0.7786 - 335ms/epoch - 7ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.6754 - categorical_accuracy: 0.7702 - val_loss: 0.5223 - val_categorical_accuracy: 0.8110 - 339ms/epoch - 7ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4770 - categorical_accuracy: 0.8220 - val_loss: 0.6971 - val_categorical_accuracy: 0.7256 - 340ms/epoch - 7ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4920 - categorical_accuracy: 0.8153 - val_loss: 0.5095 - val_categorical_accuracy: 0.8170 - 310ms/epoch - 6ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4716 - categorical_accuracy: 0.8223 - val_loss: 0.5085 - val_categorical_accuracy: 0.8070 - 464ms/epoch - 9ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4902 - categorical_accuracy: 0.8170 - val_loss: 0.5194 - val_categorical_accuracy: 0.8069 - 430ms/epoch - 9ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.5175 - categorical_accuracy: 0.8081 - val_loss: 0.4884 - val_categorical_accuracy: 0.8220 - 370ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4687 - categorical_accuracy: 0.8243 - val_loss: 0.6306 - val_categorical_accuracy: 0.7670 - 360ms/epoch - 7ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4694 - categorical_accuracy: 0.8231 - val_loss: 0.5038 - val_categorical_accuracy: 0.8086 - 360ms/epoch - 7ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.5714 - categorical_accuracy: 0.7964 - val_loss: 0.4861 - val_categorical_accuracy: 0.8229 - 395ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4728 - categorical_accuracy: 0.8217 - val_loss: 0.5218 - val_categorical_accuracy: 0.8067 - 410ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4549 - categorical_accuracy: 0.8289 - val_loss: 0.5234 - val_categorical_accuracy: 0.8056 - 460ms/epoch - 9ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4727 - categorical_accuracy: 0.8228 - val_loss: 0.5524 - val_categorical_accuracy: 0.7861 - 430ms/epoch - 9ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4635 - categorical_accuracy: 0.8245 - val_loss: 0.5027 - val_categorical_accuracy: 0.8101 - 360ms/epoch - 7ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4880 - categorical_accuracy: 0.8225 - val_loss: 0.5879 - val_categorical_accuracy: 0.7809 - 364ms/epoch - 7ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4598 - categorical_accuracy: 0.8273 - val_loss: 0.4934 - val_categorical_accuracy: 0.8175 - 356ms/epoch - 7ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4482 - categorical_accuracy: 0.8316 - val_loss: 0.6040 - val_categorical_accuracy: 0.7705 - 340ms/epoch - 7ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.5648 - categorical_accuracy: 0.8020 - val_loss: 0.4950 - val_categorical_accuracy: 0.8136 - 350ms/epoch - 7ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4537 - categorical_accuracy: 0.8303 - val_loss: 0.5119 - val_categorical_accuracy: 0.8103 - 370ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4287 - categorical_accuracy: 0.8387 - val_loss: 0.5486 - val_categorical_accuracy: 0.8127 - 470ms/epoch - 10ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.5272 - categorical_accuracy: 0.8108 - val_loss: 0.4646 - val_categorical_accuracy: 0.8265 - 440ms/epoch - 9ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4289 - categorical_accuracy: 0.8388 - val_loss: 0.6036 - val_categorical_accuracy: 0.7870 - 380ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4581 - categorical_accuracy: 0.8297 - val_loss: 0.4877 - val_categorical_accuracy: 0.8221 - 370ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4311 - categorical_accuracy: 0.8380 - val_loss: 0.5176 - val_categorical_accuracy: 0.8015 - 380ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4522 - categorical_accuracy: 0.8319 - val_loss: 0.4452 - val_categorical_accuracy: 0.8367 - 377ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4199 - categorical_accuracy: 0.8423 - val_loss: 0.4416 - val_categorical_accuracy: 0.8348 - 374ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4629 - categorical_accuracy: 0.8286 - val_loss: 0.4779 - val_categorical_accuracy: 0.8235 - 390ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4191 - categorical_accuracy: 0.8425 - val_loss: 0.4952 - val_categorical_accuracy: 0.8159 - 440ms/epoch - 9ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4565 - categorical_accuracy: 0.8341 - val_loss: 0.4783 - val_categorical_accuracy: 0.8230 - 470ms/epoch - 10ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4198 - categorical_accuracy: 0.8411 - val_loss: 0.4639 - val_categorical_accuracy: 0.8257 - 390ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4179 - categorical_accuracy: 0.8438 - val_loss: 0.5062 - val_categorical_accuracy: 0.8117 - 400ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4092 - categorical_accuracy: 0.8469 - val_loss: 0.4660 - val_categorical_accuracy: 0.8298 - 383ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4345 - categorical_accuracy: 0.8388 - val_loss: 0.4417 - val_categorical_accuracy: 0.8342 - 361ms/epoch - 7ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4055 - categorical_accuracy: 0.8494 - val_loss: 0.5004 - val_categorical_accuracy: 0.8137 - 352ms/epoch - 7ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4145 - categorical_accuracy: 0.8456 - val_loss: 0.4994 - val_categorical_accuracy: 0.8177 - 349ms/epoch - 7ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4100 - categorical_accuracy: 0.8470 - val_loss: 0.5321 - val_categorical_accuracy: 0.8023 - 351ms/epoch - 7ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4981 - categorical_accuracy: 0.8252 - val_loss: 0.4809 - val_categorical_accuracy: 0.8249 - 372ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3880 - categorical_accuracy: 0.8580 - val_loss: 0.4709 - val_categorical_accuracy: 0.8307 - 390ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.4077 - categorical_accuracy: 0.8487 - val_loss: 0.4415 - val_categorical_accuracy: 0.8389 - 490ms/epoch - 10ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.4067 - categorical_accuracy: 0.8471 - val_loss: 0.4743 - val_categorical_accuracy: 0.8257 - 450ms/epoch - 9ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.4043 - categorical_accuracy: 0.8487 - val_loss: 0.4500 - val_categorical_accuracy: 0.8345 - 460ms/epoch - 9ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.3812 - categorical_accuracy: 0.8580 - val_loss: 0.5073 - val_categorical_accuracy: 0.8149 - 320ms/epoch - 7ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4016 - categorical_accuracy: 0.8516 - val_loss: 0.4621 - val_categorical_accuracy: 0.8292 - 330ms/epoch - 7ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.4244 - categorical_accuracy: 0.8446 - val_loss: 0.4142 - val_categorical_accuracy: 0.8535 - 320ms/epoch - 7ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3899 - categorical_accuracy: 0.8549 - val_loss: 0.4363 - val_categorical_accuracy: 0.8379 - 350ms/epoch - 7ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3818 - categorical_accuracy: 0.8570 - val_loss: 0.4350 - val_categorical_accuracy: 0.8418 - 340ms/epoch - 7ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3933 - categorical_accuracy: 0.8531 - val_loss: 0.4915 - val_categorical_accuracy: 0.8154 - 380ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.4166 - categorical_accuracy: 0.8509 - val_loss: 0.5454 - val_categorical_accuracy: 0.7948 - 360ms/epoch - 7ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3838 - categorical_accuracy: 0.8575 - val_loss: 0.4329 - val_categorical_accuracy: 0.8410 - 370ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3944 - categorical_accuracy: 0.8568 - val_loss: 0.4845 - val_categorical_accuracy: 0.8156 - 390ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3781 - categorical_accuracy: 0.8605 - val_loss: 0.4339 - val_categorical_accuracy: 0.8383 - 466ms/epoch - 10ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3875 - categorical_accuracy: 0.8561 - val_loss: 0.4839 - val_categorical_accuracy: 0.8228 - 384ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3744 - categorical_accuracy: 0.8599 - val_loss: 0.4720 - val_categorical_accuracy: 0.8241 - 370ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3820 - categorical_accuracy: 0.8582 - val_loss: 0.4173 - val_categorical_accuracy: 0.8502 - 440ms/epoch - 9ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.8677 - val_loss: 0.4368 - val_categorical_accuracy: 0.8409 - 420ms/epoch - 9ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3724 - categorical_accuracy: 0.8611 - val_loss: 0.4782 - val_categorical_accuracy: 0.8246 - 350ms/epoch - 7ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.4552 - categorical_accuracy: 0.8370 - val_loss: 0.4491 - val_categorical_accuracy: 0.8364 - 365ms/epoch - 7ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3463 - categorical_accuracy: 0.8736 - val_loss: 0.4483 - val_categorical_accuracy: 0.8344 - 340ms/epoch - 7ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3709 - categorical_accuracy: 0.8627 - val_loss: 0.4838 - val_categorical_accuracy: 0.8279 - 330ms/epoch - 7ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3433 - categorical_accuracy: 0.8737 - val_loss: 0.4160 - val_categorical_accuracy: 0.8474 - 330ms/epoch - 7ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3885 - categorical_accuracy: 0.8571 - val_loss: 0.4045 - val_categorical_accuracy: 0.8510 - 450ms/epoch - 9ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3463 - categorical_accuracy: 0.8714 - val_loss: 0.4741 - val_categorical_accuracy: 0.8275 - 390ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3611 - categorical_accuracy: 0.8663 - val_loss: 0.4587 - val_categorical_accuracy: 0.8337 - 380ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3508 - categorical_accuracy: 0.8698 - val_loss: 0.4065 - val_categorical_accuracy: 0.8540 - 365ms/epoch - 7ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.4349 - categorical_accuracy: 0.8462 - val_loss: 1.4707 - val_categorical_accuracy: 0.5922 - 380ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 1s - loss: 0.3831 - categorical_accuracy: 0.8670 - val_loss: 0.4624 - val_categorical_accuracy: 0.8400 - 540ms/epoch - 11ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3460 - categorical_accuracy: 0.8731 - val_loss: 0.4166 - val_categorical_accuracy: 0.8500 - 410ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3490 - categorical_accuracy: 0.8714 - val_loss: 0.3954 - val_categorical_accuracy: 0.8577 - 390ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3454 - categorical_accuracy: 0.8721 - val_loss: 0.3998 - val_categorical_accuracy: 0.8552 - 390ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3951 - categorical_accuracy: 0.8578 - val_loss: 0.3869 - val_categorical_accuracy: 0.8618 - 380ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3407 - categorical_accuracy: 0.8747 - val_loss: 0.5302 - val_categorical_accuracy: 0.8119 - 380ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3363 - categorical_accuracy: 0.8752 - val_loss: 0.4365 - val_categorical_accuracy: 0.8416 - 452ms/epoch - 9ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3341 - categorical_accuracy: 0.8784 - val_loss: 0.5053 - val_categorical_accuracy: 0.8178 - 380ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3497 - categorical_accuracy: 0.8702 - val_loss: 0.4195 - val_categorical_accuracy: 0.8477 - 400ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3257 - categorical_accuracy: 0.8795 - val_loss: 0.3870 - val_categorical_accuracy: 0.8617 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3684 - categorical_accuracy: 0.8659 - val_loss: 0.4533 - val_categorical_accuracy: 0.8380 - 400ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3307 - categorical_accuracy: 0.8769 - val_loss: 0.4494 - val_categorical_accuracy: 0.8363 - 418ms/epoch - 9ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3335 - categorical_accuracy: 0.8782 - val_loss: 0.5227 - val_categorical_accuracy: 0.8184 - 390ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3289 - categorical_accuracy: 0.8780 - val_loss: 0.4395 - val_categorical_accuracy: 0.8449 - 387ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3274 - categorical_accuracy: 0.8801 - val_loss: 0.4179 - val_categorical_accuracy: 0.8490 - 378ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3443 - categorical_accuracy: 0.8729 - val_loss: 0.3878 - val_categorical_accuracy: 0.8596 - 420ms/epoch - 9ms/step
Epoch 179/1500
49/49 - 1s - loss: 0.3180 - categorical_accuracy: 0.8839 - val_loss: 0.4123 - val_categorical_accuracy: 0.8546 - 514ms/epoch - 10ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3907 - categorical_accuracy: 0.8632 - val_loss: 0.3972 - val_categorical_accuracy: 0.8561 - 310ms/epoch - 6ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3129 - categorical_accuracy: 0.8861 - val_loss: 0.4395 - val_categorical_accuracy: 0.8373 - 310ms/epoch - 6ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3529 - categorical_accuracy: 0.8703 - val_loss: 0.7546 - val_categorical_accuracy: 0.7265 - 300ms/epoch - 6ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3183 - categorical_accuracy: 0.8835 - val_loss: 0.3970 - val_categorical_accuracy: 0.8599 - 300ms/epoch - 6ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3072 - categorical_accuracy: 0.8874 - val_loss: 0.5164 - val_categorical_accuracy: 0.8060 - 310ms/epoch - 6ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3289 - categorical_accuracy: 0.8792 - val_loss: 0.5124 - val_categorical_accuracy: 0.8203 - 354ms/epoch - 7ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3148 - categorical_accuracy: 0.8838 - val_loss: 0.4265 - val_categorical_accuracy: 0.8477 - 400ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3968 - categorical_accuracy: 0.8607 - val_loss: 0.4085 - val_categorical_accuracy: 0.8539 - 370ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3013 - categorical_accuracy: 0.8906 - val_loss: 0.4892 - val_categorical_accuracy: 0.8289 - 380ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3303 - categorical_accuracy: 0.8804 - val_loss: 0.4120 - val_categorical_accuracy: 0.8523 - 380ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3169 - categorical_accuracy: 0.8835 - val_loss: 0.4913 - val_categorical_accuracy: 0.8265 - 417ms/epoch - 9ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.2941 - categorical_accuracy: 0.8930 - val_loss: 0.4183 - val_categorical_accuracy: 0.8511 - 380ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3137 - categorical_accuracy: 0.8845 - val_loss: 0.3901 - val_categorical_accuracy: 0.8656 - 390ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3127 - categorical_accuracy: 0.8844 - val_loss: 0.4318 - val_categorical_accuracy: 0.8472 - 377ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3005 - categorical_accuracy: 0.8887 - val_loss: 0.3743 - val_categorical_accuracy: 0.8678 - 380ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3915 - categorical_accuracy: 0.8695 - val_loss: 0.3863 - val_categorical_accuracy: 0.8628 - 409ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.2932 - categorical_accuracy: 0.8929 - val_loss: 0.3765 - val_categorical_accuracy: 0.8654 - 436ms/epoch - 9ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3138 - categorical_accuracy: 0.8857 - val_loss: 0.3853 - val_categorical_accuracy: 0.8626 - 440ms/epoch - 9ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.3177 - categorical_accuracy: 0.8871 - val_loss: 0.3814 - val_categorical_accuracy: 0.8634 - 390ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2981 - categorical_accuracy: 0.8904 - val_loss: 0.4031 - val_categorical_accuracy: 0.8543 - 390ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.2981 - categorical_accuracy: 0.8902 - val_loss: 0.3777 - val_categorical_accuracy: 0.8676 - 410ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3009 - categorical_accuracy: 0.8902 - val_loss: 0.3865 - val_categorical_accuracy: 0.8623 - 390ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.4161 - categorical_accuracy: 0.8626 - val_loss: 0.4369 - val_categorical_accuracy: 0.8467 - 386ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2954 - categorical_accuracy: 0.8920 - val_loss: 0.3645 - val_categorical_accuracy: 0.8736 - 380ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.3187 - categorical_accuracy: 0.8858 - val_loss: 0.3795 - val_categorical_accuracy: 0.8665 - 380ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 1s - loss: 0.2839 - categorical_accuracy: 0.8964 - val_loss: 0.3634 - val_categorical_accuracy: 0.8692 - 514ms/epoch - 10ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2942 - categorical_accuracy: 0.8927 - val_loss: 0.3701 - val_categorical_accuracy: 0.8686 - 490ms/epoch - 10ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.2843 - categorical_accuracy: 0.8965 - val_loss: 0.4773 - val_categorical_accuracy: 0.8386 - 340ms/epoch - 7ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2950 - categorical_accuracy: 0.8913 - val_loss: 0.3608 - val_categorical_accuracy: 0.8762 - 330ms/epoch - 7ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.3188 - categorical_accuracy: 0.8866 - val_loss: 0.4107 - val_categorical_accuracy: 0.8544 - 330ms/epoch - 7ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.3013 - categorical_accuracy: 0.8920 - val_loss: 0.4330 - val_categorical_accuracy: 0.8449 - 350ms/epoch - 7ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2927 - categorical_accuracy: 0.8926 - val_loss: 0.4514 - val_categorical_accuracy: 0.8439 - 351ms/epoch - 7ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2790 - categorical_accuracy: 0.8975 - val_loss: 0.3570 - val_categorical_accuracy: 0.8747 - 370ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2639 - categorical_accuracy: 0.9039 - val_loss: 0.3607 - val_categorical_accuracy: 0.8695 - 370ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.3143 - categorical_accuracy: 0.8891 - val_loss: 0.5572 - val_categorical_accuracy: 0.8226 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2944 - categorical_accuracy: 0.8925 - val_loss: 0.3524 - val_categorical_accuracy: 0.8776 - 386ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2673 - categorical_accuracy: 0.9036 - val_loss: 0.3737 - val_categorical_accuracy: 0.8719 - 404ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.3672 - categorical_accuracy: 0.8754 - val_loss: 0.3731 - val_categorical_accuracy: 0.8686 - 390ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2704 - categorical_accuracy: 0.9031 - val_loss: 0.4527 - val_categorical_accuracy: 0.8434 - 400ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2787 - categorical_accuracy: 0.8992 - val_loss: 0.3799 - val_categorical_accuracy: 0.8659 - 390ms/epoch - 8ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2757 - categorical_accuracy: 0.8993 - val_loss: 0.3643 - val_categorical_accuracy: 0.8730 - 390ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2823 - categorical_accuracy: 0.8967 - val_loss: 0.4219 - val_categorical_accuracy: 0.8550 - 445ms/epoch - 9ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2500 - categorical_accuracy: 0.9099 - val_loss: 0.4249 - val_categorical_accuracy: 0.8545 - 410ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.3161 - categorical_accuracy: 0.8858 - val_loss: 0.3543 - val_categorical_accuracy: 0.8773 - 388ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2623 - categorical_accuracy: 0.9068 - val_loss: 0.3786 - val_categorical_accuracy: 0.8685 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2871 - categorical_accuracy: 0.8967 - val_loss: 0.3670 - val_categorical_accuracy: 0.8724 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2687 - categorical_accuracy: 0.9015 - val_loss: 0.5032 - val_categorical_accuracy: 0.8205 - 394ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2773 - categorical_accuracy: 0.9001 - val_loss: 0.4069 - val_categorical_accuracy: 0.8548 - 410ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2741 - categorical_accuracy: 0.9003 - val_loss: 0.3874 - val_categorical_accuracy: 0.8654 - 420ms/epoch - 9ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2679 - categorical_accuracy: 0.9037 - val_loss: 0.6955 - val_categorical_accuracy: 0.7868 - 390ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.3698 - categorical_accuracy: 0.8783 - val_loss: 0.3951 - val_categorical_accuracy: 0.8596 - 396ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2593 - categorical_accuracy: 0.9053 - val_loss: 0.3501 - val_categorical_accuracy: 0.8768 - 415ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2543 - categorical_accuracy: 0.9081 - val_loss: 0.3882 - val_categorical_accuracy: 0.8634 - 400ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2744 - categorical_accuracy: 0.8996 - val_loss: 0.4369 - val_categorical_accuracy: 0.8447 - 390ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2615 - categorical_accuracy: 0.9048 - val_loss: 0.3703 - val_categorical_accuracy: 0.8690 - 390ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2522 - categorical_accuracy: 0.9100 - val_loss: 0.3542 - val_categorical_accuracy: 0.8796 - 390ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2627 - categorical_accuracy: 0.9045 - val_loss: 0.4320 - val_categorical_accuracy: 0.8498 - 400ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2657 - categorical_accuracy: 0.9049 - val_loss: 0.3809 - val_categorical_accuracy: 0.8680 - 380ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9076 - val_loss: 0.3705 - val_categorical_accuracy: 0.8683 - 417ms/epoch - 9ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2564 - categorical_accuracy: 0.9069 - val_loss: 0.4606 - val_categorical_accuracy: 0.8389 - 430ms/epoch - 9ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.3814 - categorical_accuracy: 0.8760 - val_loss: 0.3419 - val_categorical_accuracy: 0.8824 - 400ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2478 - categorical_accuracy: 0.9112 - val_loss: 0.4103 - val_categorical_accuracy: 0.8573 - 404ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2525 - categorical_accuracy: 0.9094 - val_loss: 0.3742 - val_categorical_accuracy: 0.8700 - 390ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2540 - categorical_accuracy: 0.9076 - val_loss: 0.4125 - val_categorical_accuracy: 0.8543 - 380ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2559 - categorical_accuracy: 0.9070 - val_loss: 0.4015 - val_categorical_accuracy: 0.8595 - 390ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2827 - categorical_accuracy: 0.8995 - val_loss: 0.3481 - val_categorical_accuracy: 0.8824 - 460ms/epoch - 9ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2524 - categorical_accuracy: 0.9080 - val_loss: 0.3765 - val_categorical_accuracy: 0.8703 - 484ms/epoch - 10ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2583 - categorical_accuracy: 0.9071 - val_loss: 0.4223 - val_categorical_accuracy: 0.8563 - 370ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2385 - categorical_accuracy: 0.9145 - val_loss: 0.3436 - val_categorical_accuracy: 0.8805 - 370ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.3117 - categorical_accuracy: 0.8916 - val_loss: 0.4224 - val_categorical_accuracy: 0.8502 - 380ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2379 - categorical_accuracy: 0.9146 - val_loss: 0.3565 - val_categorical_accuracy: 0.8791 - 390ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2609 - categorical_accuracy: 0.9060 - val_loss: 0.3740 - val_categorical_accuracy: 0.8691 - 404ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2589 - categorical_accuracy: 0.9066 - val_loss: 0.5209 - val_categorical_accuracy: 0.8240 - 438ms/epoch - 9ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2406 - categorical_accuracy: 0.9132 - val_loss: 0.4196 - val_categorical_accuracy: 0.8614 - 380ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2371 - categorical_accuracy: 0.9144 - val_loss: 0.4652 - val_categorical_accuracy: 0.8514 - 380ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9128 - val_loss: 0.3420 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2516 - categorical_accuracy: 0.9098 - val_loss: 0.3444 - val_categorical_accuracy: 0.8848 - 394ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2274 - categorical_accuracy: 0.9191 - val_loss: 0.4439 - val_categorical_accuracy: 0.8448 - 380ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.3218 - categorical_accuracy: 0.8905 - val_loss: 0.4247 - val_categorical_accuracy: 0.8604 - 390ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2372 - categorical_accuracy: 0.9155 - val_loss: 0.3873 - val_categorical_accuracy: 0.8695 - 390ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2414 - categorical_accuracy: 0.9125 - val_loss: 0.3522 - val_categorical_accuracy: 0.8829 - 400ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2220 - categorical_accuracy: 0.9207 - val_loss: 0.3471 - val_categorical_accuracy: 0.8825 - 414ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2269 - categorical_accuracy: 0.9187 - val_loss: 0.5071 - val_categorical_accuracy: 0.8314 - 380ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2749 - categorical_accuracy: 0.9038 - val_loss: 0.3918 - val_categorical_accuracy: 0.8698 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.4522 - categorical_accuracy: 0.8651 - val_loss: 0.3595 - val_categorical_accuracy: 0.8739 - 430ms/epoch - 9ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2235 - categorical_accuracy: 0.9232 - val_loss: 0.3537 - val_categorical_accuracy: 0.8804 - 410ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2334 - categorical_accuracy: 0.9167 - val_loss: 0.4000 - val_categorical_accuracy: 0.8624 - 404ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2373 - categorical_accuracy: 0.9154 - val_loss: 0.3741 - val_categorical_accuracy: 0.8718 - 445ms/epoch - 9ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2265 - categorical_accuracy: 0.9191 - val_loss: 0.4369 - val_categorical_accuracy: 0.8523 - 380ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 1s - loss: 0.2351 - categorical_accuracy: 0.9161 - val_loss: 0.4616 - val_categorical_accuracy: 0.8483 - 500ms/epoch - 10ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2379 - categorical_accuracy: 0.9147 - val_loss: 0.3413 - val_categorical_accuracy: 0.8846 - 350ms/epoch - 7ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2318 - categorical_accuracy: 0.9171 - val_loss: 0.3406 - val_categorical_accuracy: 0.8848 - 335ms/epoch - 7ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2392 - categorical_accuracy: 0.9139 - val_loss: 0.3737 - val_categorical_accuracy: 0.8763 - 330ms/epoch - 7ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2305 - categorical_accuracy: 0.9162 - val_loss: 0.3932 - val_categorical_accuracy: 0.8679 - 335ms/epoch - 7ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2676 - categorical_accuracy: 0.9063 - val_loss: 0.4041 - val_categorical_accuracy: 0.8587 - 340ms/epoch - 7ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2331 - categorical_accuracy: 0.9161 - val_loss: 0.3330 - val_categorical_accuracy: 0.8870 - 370ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2054 - categorical_accuracy: 0.9278 - val_loss: 0.4248 - val_categorical_accuracy: 0.8557 - 384ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.3235 - categorical_accuracy: 0.8965 - val_loss: 0.3624 - val_categorical_accuracy: 0.8784 - 400ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2292 - categorical_accuracy: 0.9173 - val_loss: 0.3566 - val_categorical_accuracy: 0.8810 - 380ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2114 - categorical_accuracy: 0.9253 - val_loss: 0.4596 - val_categorical_accuracy: 0.8525 - 380ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2756 - categorical_accuracy: 0.9035 - val_loss: 0.3893 - val_categorical_accuracy: 0.8689 - 390ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2103 - categorical_accuracy: 0.9253 - val_loss: 0.3377 - val_categorical_accuracy: 0.8890 - 400ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2228 - categorical_accuracy: 0.9206 - val_loss: 0.3449 - val_categorical_accuracy: 0.8852 - 402ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2468 - categorical_accuracy: 0.9140 - val_loss: 0.5093 - val_categorical_accuracy: 0.8237 - 390ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2139 - categorical_accuracy: 0.9235 - val_loss: 0.3761 - val_categorical_accuracy: 0.8715 - 410ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.3115 - categorical_accuracy: 0.8953 - val_loss: 0.5335 - val_categorical_accuracy: 0.8113 - 390ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2090 - categorical_accuracy: 0.9276 - val_loss: 0.3549 - val_categorical_accuracy: 0.8823 - 400ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2039 - categorical_accuracy: 0.9279 - val_loss: 0.3478 - val_categorical_accuracy: 0.8825 - 402ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2326 - categorical_accuracy: 0.9161 - val_loss: 0.3372 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2215 - categorical_accuracy: 0.9197 - val_loss: 0.3554 - val_categorical_accuracy: 0.8844 - 460ms/epoch - 9ms/step
Epoch 290/1500
49/49 - 1s - loss: 0.2079 - categorical_accuracy: 0.9259 - val_loss: 0.5283 - val_categorical_accuracy: 0.8259 - 500ms/epoch - 10ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2072 - categorical_accuracy: 0.9271 - val_loss: 0.3871 - val_categorical_accuracy: 0.8696 - 335ms/epoch - 7ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2409 - categorical_accuracy: 0.9129 - val_loss: 0.7179 - val_categorical_accuracy: 0.7720 - 340ms/epoch - 7ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2262 - categorical_accuracy: 0.9191 - val_loss: 0.3945 - val_categorical_accuracy: 0.8658 - 330ms/epoch - 7ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9264 - val_loss: 0.3409 - val_categorical_accuracy: 0.8872 - 320ms/epoch - 7ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2630 - categorical_accuracy: 0.9115 - val_loss: 0.3383 - val_categorical_accuracy: 0.8899 - 320ms/epoch - 7ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.1969 - categorical_accuracy: 0.9312 - val_loss: 0.3626 - val_categorical_accuracy: 0.8834 - 356ms/epoch - 7ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2385 - categorical_accuracy: 0.9139 - val_loss: 0.3359 - val_categorical_accuracy: 0.8883 - 374ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.1989 - categorical_accuracy: 0.9299 - val_loss: 0.3437 - val_categorical_accuracy: 0.8862 - 380ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2096 - categorical_accuracy: 0.9255 - val_loss: 0.4600 - val_categorical_accuracy: 0.8493 - 380ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2043 - categorical_accuracy: 0.9293 - val_loss: 0.3559 - val_categorical_accuracy: 0.8800 - 380ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2582 - categorical_accuracy: 0.9133 - val_loss: 0.3389 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9271 - val_loss: 0.3335 - val_categorical_accuracy: 0.8927 - 414ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2126 - categorical_accuracy: 0.9249 - val_loss: 0.3567 - val_categorical_accuracy: 0.8819 - 400ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.6252 - categorical_accuracy: 0.8422 - val_loss: 0.8821 - val_categorical_accuracy: 0.6854 - 397ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.3929 - categorical_accuracy: 0.8596 - val_loss: 0.3679 - val_categorical_accuracy: 0.8743 - 410ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2096 - categorical_accuracy: 0.9272 - val_loss: 0.3562 - val_categorical_accuracy: 0.8814 - 380ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2153 - categorical_accuracy: 0.9236 - val_loss: 0.3525 - val_categorical_accuracy: 0.8828 - 410ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2122 - categorical_accuracy: 0.9255 - val_loss: 0.3719 - val_categorical_accuracy: 0.8769 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2187 - categorical_accuracy: 0.9199 - val_loss: 0.3838 - val_categorical_accuracy: 0.8713 - 390ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.1954 - categorical_accuracy: 0.9313 - val_loss: 0.3555 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2108 - categorical_accuracy: 0.9247 - val_loss: 0.4050 - val_categorical_accuracy: 0.8665 - 420ms/epoch - 9ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.1979 - categorical_accuracy: 0.9300 - val_loss: 0.3978 - val_categorical_accuracy: 0.8708 - 407ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.2085 - categorical_accuracy: 0.9270 - val_loss: 0.3725 - val_categorical_accuracy: 0.8781 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9263 - val_loss: 0.4672 - val_categorical_accuracy: 0.8540 - 380ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2003 - categorical_accuracy: 0.9275 - val_loss: 0.4673 - val_categorical_accuracy: 0.8594 - 390ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.2475 - categorical_accuracy: 0.9123 - val_loss: 0.3715 - val_categorical_accuracy: 0.8781 - 390ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.2005 - categorical_accuracy: 0.9290 - val_loss: 0.3852 - val_categorical_accuracy: 0.8721 - 410ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.1901 - categorical_accuracy: 0.9331 - val_loss: 0.3484 - val_categorical_accuracy: 0.8890 - 430ms/epoch - 9ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9281 - val_loss: 0.6607 - val_categorical_accuracy: 0.8061 - 440ms/epoch - 9ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.2463 - categorical_accuracy: 0.9196 - val_loss: 0.3930 - val_categorical_accuracy: 0.8744 - 390ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.2023 - categorical_accuracy: 0.9273 - val_loss: 0.3592 - val_categorical_accuracy: 0.8839 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2156 - categorical_accuracy: 0.9239 - val_loss: 0.3346 - val_categorical_accuracy: 0.8932 - 400ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9319 - val_loss: 0.3247 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1850 - categorical_accuracy: 0.9356 - val_loss: 0.3630 - val_categorical_accuracy: 0.8847 - 380ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.2054 - categorical_accuracy: 0.9289 - val_loss: 0.4206 - val_categorical_accuracy: 0.8614 - 390ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.1920 - categorical_accuracy: 0.9321 - val_loss: 0.3861 - val_categorical_accuracy: 0.8798 - 390ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1989 - categorical_accuracy: 0.9293 - val_loss: 0.4015 - val_categorical_accuracy: 0.8748 - 404ms/epoch - 8ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1969 - categorical_accuracy: 0.9290 - val_loss: 0.3609 - val_categorical_accuracy: 0.8834 - 400ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2516 - categorical_accuracy: 0.9167 - val_loss: 0.3357 - val_categorical_accuracy: 0.8913 - 420ms/epoch - 9ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1743 - categorical_accuracy: 0.9394 - val_loss: 0.6053 - val_categorical_accuracy: 0.7958 - 390ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2125 - categorical_accuracy: 0.9256 - val_loss: 0.3712 - val_categorical_accuracy: 0.8818 - 380ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9398 - val_loss: 0.8916 - val_categorical_accuracy: 0.7774 - 404ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.2268 - categorical_accuracy: 0.9242 - val_loss: 0.3683 - val_categorical_accuracy: 0.8797 - 406ms/epoch - 8ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9391 - val_loss: 0.3543 - val_categorical_accuracy: 0.8880 - 416ms/epoch - 8ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.2113 - categorical_accuracy: 0.9248 - val_loss: 0.3952 - val_categorical_accuracy: 0.8755 - 390ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.2065 - categorical_accuracy: 0.9288 - val_loss: 0.5704 - val_categorical_accuracy: 0.8245 - 390ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1815 - categorical_accuracy: 0.9362 - val_loss: 0.3600 - val_categorical_accuracy: 0.8851 - 400ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1868 - categorical_accuracy: 0.9343 - val_loss: 0.4173 - val_categorical_accuracy: 0.8713 - 405ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.2074 - categorical_accuracy: 0.9264 - val_loss: 0.3471 - val_categorical_accuracy: 0.8878 - 439ms/epoch - 9ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1658 - categorical_accuracy: 0.9423 - val_loss: 0.3454 - val_categorical_accuracy: 0.8899 - 409ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1974 - categorical_accuracy: 0.9318 - val_loss: 0.8728 - val_categorical_accuracy: 0.7521 - 388ms/epoch - 8ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.1971 - categorical_accuracy: 0.9320 - val_loss: 0.4898 - val_categorical_accuracy: 0.8366 - 399ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1960 - categorical_accuracy: 0.9319 - val_loss: 0.3449 - val_categorical_accuracy: 0.8898 - 405ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9305 - val_loss: 0.3815 - val_categorical_accuracy: 0.8772 - 400ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1996 - categorical_accuracy: 0.9302 - val_loss: 0.3955 - val_categorical_accuracy: 0.8753 - 389ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.2133 - categorical_accuracy: 0.9272 - val_loss: 0.3461 - val_categorical_accuracy: 0.8878 - 380ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1737 - categorical_accuracy: 0.9393 - val_loss: 0.3534 - val_categorical_accuracy: 0.8854 - 394ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1818 - categorical_accuracy: 0.9362 - val_loss: 0.5797 - val_categorical_accuracy: 0.8374 - 400ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1963 - categorical_accuracy: 0.9327 - val_loss: 0.3383 - val_categorical_accuracy: 0.8957 - 385ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.4224 - categorical_accuracy: 0.8791 - val_loss: 0.3749 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1774 - categorical_accuracy: 0.9409 - val_loss: 0.3457 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9372 - val_loss: 0.3857 - val_categorical_accuracy: 0.8721 - 410ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1572 - categorical_accuracy: 0.9466 - val_loss: 0.3760 - val_categorical_accuracy: 0.8823 - 430ms/epoch - 9ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1769 - categorical_accuracy: 0.9365 - val_loss: 0.4273 - val_categorical_accuracy: 0.8655 - 400ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1810 - categorical_accuracy: 0.9377 - val_loss: 0.3900 - val_categorical_accuracy: 0.8826 - 400ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1792 - categorical_accuracy: 0.9363 - val_loss: 0.3659 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1797 - categorical_accuracy: 0.9367 - val_loss: 0.3382 - val_categorical_accuracy: 0.8945 - 400ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1628 - categorical_accuracy: 0.9435 - val_loss: 0.3604 - val_categorical_accuracy: 0.8906 - 415ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.2052 - categorical_accuracy: 0.9282 - val_loss: 0.3940 - val_categorical_accuracy: 0.8703 - 389ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.2060 - categorical_accuracy: 0.9330 - val_loss: 0.4023 - val_categorical_accuracy: 0.8784 - 410ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.2488 - categorical_accuracy: 0.9178 - val_loss: 0.3370 - val_categorical_accuracy: 0.8933 - 380ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1478 - categorical_accuracy: 0.9499 - val_loss: 0.3635 - val_categorical_accuracy: 0.8837 - 390ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1839 - categorical_accuracy: 0.9366 - val_loss: 0.4358 - val_categorical_accuracy: 0.8716 - 410ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1719 - categorical_accuracy: 0.9398 - val_loss: 0.6086 - val_categorical_accuracy: 0.8437 - 440ms/epoch - 9ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1938 - categorical_accuracy: 0.9323 - val_loss: 0.3712 - val_categorical_accuracy: 0.8842 - 410ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.1750 - categorical_accuracy: 0.9384 - val_loss: 0.4900 - val_categorical_accuracy: 0.8532 - 487ms/epoch - 10ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1706 - categorical_accuracy: 0.9401 - val_loss: 0.3583 - val_categorical_accuracy: 0.8867 - 370ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1637 - categorical_accuracy: 0.9421 - val_loss: 0.3579 - val_categorical_accuracy: 0.8866 - 370ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1938 - categorical_accuracy: 0.9329 - val_loss: 0.3384 - val_categorical_accuracy: 0.8939 - 380ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1988 - categorical_accuracy: 0.9320 - val_loss: 0.3354 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1480 - categorical_accuracy: 0.9482 - val_loss: 0.3785 - val_categorical_accuracy: 0.8812 - 380ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1790 - categorical_accuracy: 0.9380 - val_loss: 0.4161 - val_categorical_accuracy: 0.8704 - 390ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1913 - categorical_accuracy: 0.9334 - val_loss: 0.3843 - val_categorical_accuracy: 0.8832 - 380ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.2061 - categorical_accuracy: 0.9272 - val_loss: 0.3443 - val_categorical_accuracy: 0.8920 - 387ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1526 - categorical_accuracy: 0.9475 - val_loss: 0.3877 - val_categorical_accuracy: 0.8810 - 400ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9386 - val_loss: 0.3711 - val_categorical_accuracy: 0.8876 - 380ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.2695 - categorical_accuracy: 0.9150 - val_loss: 0.3369 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1518 - categorical_accuracy: 0.9470 - val_loss: 0.3595 - val_categorical_accuracy: 0.8842 - 382ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1806 - categorical_accuracy: 0.9389 - val_loss: 0.3582 - val_categorical_accuracy: 0.8901 - 420ms/epoch - 9ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9395 - val_loss: 0.4184 - val_categorical_accuracy: 0.8657 - 470ms/epoch - 10ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9428 - val_loss: 0.5275 - val_categorical_accuracy: 0.8416 - 380ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 1s - loss: 0.1800 - categorical_accuracy: 0.9354 - val_loss: 0.3805 - val_categorical_accuracy: 0.8874 - 500ms/epoch - 10ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1486 - categorical_accuracy: 0.9495 - val_loss: 0.3528 - val_categorical_accuracy: 0.8935 - 360ms/epoch - 7ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.2034 - categorical_accuracy: 0.9286 - val_loss: 0.3401 - val_categorical_accuracy: 0.8888 - 370ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 1s - loss: 0.1694 - categorical_accuracy: 0.9430 - val_loss: 0.3514 - val_categorical_accuracy: 0.8868 - 560ms/epoch - 11ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9454 - val_loss: 0.4853 - val_categorical_accuracy: 0.8566 - 370ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1690 - categorical_accuracy: 0.9402 - val_loss: 0.4658 - val_categorical_accuracy: 0.8620 - 384ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.3200 - categorical_accuracy: 0.9040 - val_loss: 0.3464 - val_categorical_accuracy: 0.8913 - 380ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1547 - categorical_accuracy: 0.9458 - val_loss: 0.3509 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1362 - categorical_accuracy: 0.9534 - val_loss: 0.3644 - val_categorical_accuracy: 0.8920 - 400ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9410 - val_loss: 0.3609 - val_categorical_accuracy: 0.8883 - 380ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1568 - categorical_accuracy: 0.9456 - val_loss: 0.5262 - val_categorical_accuracy: 0.8540 - 395ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9470 - val_loss: 0.3638 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9386 - val_loss: 0.4708 - val_categorical_accuracy: 0.8516 - 384ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1795 - categorical_accuracy: 0.9375 - val_loss: 0.3636 - val_categorical_accuracy: 0.8888 - 410ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1821 - categorical_accuracy: 0.9369 - val_loss: 0.3310 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1344 - categorical_accuracy: 0.9542 - val_loss: 0.3549 - val_categorical_accuracy: 0.8911 - 380ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9399 - val_loss: 0.3445 - val_categorical_accuracy: 0.8929 - 380ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1436 - categorical_accuracy: 0.9503 - val_loss: 0.3856 - val_categorical_accuracy: 0.8822 - 380ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9459 - val_loss: 0.3429 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.2376 - categorical_accuracy: 0.9236 - val_loss: 0.3984 - val_categorical_accuracy: 0.8751 - 390ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1457 - categorical_accuracy: 0.9509 - val_loss: 0.3656 - val_categorical_accuracy: 0.8885 - 384ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1750 - categorical_accuracy: 0.9382 - val_loss: 0.3310 - val_categorical_accuracy: 0.9004 - 376ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1317 - categorical_accuracy: 0.9544 - val_loss: 0.4102 - val_categorical_accuracy: 0.8760 - 380ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1408 - categorical_accuracy: 0.9514 - val_loss: 0.5147 - val_categorical_accuracy: 0.8515 - 400ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9335 - val_loss: 0.3414 - val_categorical_accuracy: 0.8941 - 410ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9490 - val_loss: 0.7678 - val_categorical_accuracy: 0.8332 - 394ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9493 - val_loss: 0.3500 - val_categorical_accuracy: 0.8937 - 386ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1775 - categorical_accuracy: 0.9377 - val_loss: 0.4159 - val_categorical_accuracy: 0.8737 - 429ms/epoch - 9ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.2414 - categorical_accuracy: 0.9247 - val_loss: 0.4066 - val_categorical_accuracy: 0.8692 - 460ms/epoch - 9ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1428 - categorical_accuracy: 0.9518 - val_loss: 0.3466 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1382 - categorical_accuracy: 0.9523 - val_loss: 0.3481 - val_categorical_accuracy: 0.8977 - 433ms/epoch - 9ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9448 - val_loss: 0.4676 - val_categorical_accuracy: 0.8536 - 387ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1656 - categorical_accuracy: 0.9410 - val_loss: 0.3538 - val_categorical_accuracy: 0.8913 - 380ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1681 - categorical_accuracy: 0.9408 - val_loss: 0.3661 - val_categorical_accuracy: 0.8878 - 400ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1368 - categorical_accuracy: 0.9531 - val_loss: 0.3541 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1289 - categorical_accuracy: 0.9563 - val_loss: 0.4088 - val_categorical_accuracy: 0.8833 - 389ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.2089 - categorical_accuracy: 0.9288 - val_loss: 0.3520 - val_categorical_accuracy: 0.8953 - 390ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1351 - categorical_accuracy: 0.9527 - val_loss: 0.5397 - val_categorical_accuracy: 0.8372 - 410ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.2239 - categorical_accuracy: 0.9299 - val_loss: 0.3804 - val_categorical_accuracy: 0.8848 - 430ms/epoch - 9ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1373 - categorical_accuracy: 0.9522 - val_loss: 0.3905 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1448 - categorical_accuracy: 0.9483 - val_loss: 0.4203 - val_categorical_accuracy: 0.8715 - 410ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9386 - val_loss: 0.3474 - val_categorical_accuracy: 0.8966 - 380ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9436 - val_loss: 0.3501 - val_categorical_accuracy: 0.8925 - 419ms/epoch - 9ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1408 - categorical_accuracy: 0.9515 - val_loss: 0.3829 - val_categorical_accuracy: 0.8869 - 440ms/epoch - 9ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1679 - categorical_accuracy: 0.9410 - val_loss: 0.4402 - val_categorical_accuracy: 0.8677 - 380ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1634 - categorical_accuracy: 0.9437 - val_loss: 0.3746 - val_categorical_accuracy: 0.8853 - 440ms/epoch - 9ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1526 - categorical_accuracy: 0.9470 - val_loss: 0.8693 - val_categorical_accuracy: 0.8240 - 370ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1403 - categorical_accuracy: 0.9540 - val_loss: 0.3988 - val_categorical_accuracy: 0.8834 - 340ms/epoch - 7ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9442 - val_loss: 0.3442 - val_categorical_accuracy: 0.8984 - 350ms/epoch - 7ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1405 - categorical_accuracy: 0.9499 - val_loss: 0.3759 - val_categorical_accuracy: 0.8890 - 340ms/epoch - 7ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1328 - categorical_accuracy: 0.9538 - val_loss: 0.7062 - val_categorical_accuracy: 0.8231 - 370ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.2595 - categorical_accuracy: 0.9209 - val_loss: 0.3500 - val_categorical_accuracy: 0.8955 - 424ms/epoch - 9ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1239 - categorical_accuracy: 0.9579 - val_loss: 0.3772 - val_categorical_accuracy: 0.8914 - 330ms/epoch - 7ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1545 - categorical_accuracy: 0.9471 - val_loss: 0.3782 - val_categorical_accuracy: 0.8905 - 340ms/epoch - 7ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9391 - val_loss: 0.3988 - val_categorical_accuracy: 0.8794 - 350ms/epoch - 7ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1256 - categorical_accuracy: 0.9563 - val_loss: 0.3416 - val_categorical_accuracy: 0.9000 - 330ms/epoch - 7ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1629 - categorical_accuracy: 0.9446 - val_loss: 0.3454 - val_categorical_accuracy: 0.8960 - 329ms/epoch - 7ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1270 - categorical_accuracy: 0.9561 - val_loss: 0.3810 - val_categorical_accuracy: 0.8881 - 370ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9353 - val_loss: 0.3397 - val_categorical_accuracy: 0.8979 - 370ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1660 - categorical_accuracy: 0.9444 - val_loss: 0.4333 - val_categorical_accuracy: 0.8692 - 400ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1296 - categorical_accuracy: 0.9561 - val_loss: 0.3436 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1750 - categorical_accuracy: 0.9428 - val_loss: 0.3590 - val_categorical_accuracy: 0.8908 - 390ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9560 - val_loss: 0.4757 - val_categorical_accuracy: 0.8599 - 380ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.3604 - categorical_accuracy: 0.8994 - val_loss: 0.3446 - val_categorical_accuracy: 0.8956 - 380ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1259 - categorical_accuracy: 0.9571 - val_loss: 0.3503 - val_categorical_accuracy: 0.8980 - 414ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1218 - categorical_accuracy: 0.9580 - val_loss: 0.3546 - val_categorical_accuracy: 0.8967 - 402ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1287 - categorical_accuracy: 0.9543 - val_loss: 0.3726 - val_categorical_accuracy: 0.8894 - 389ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1583 - categorical_accuracy: 0.9457 - val_loss: 0.3516 - val_categorical_accuracy: 0.8984 - 380ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9536 - val_loss: 0.3616 - val_categorical_accuracy: 0.8946 - 420ms/epoch - 9ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1826 - categorical_accuracy: 0.9351 - val_loss: 0.3725 - val_categorical_accuracy: 0.8884 - 400ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1248 - categorical_accuracy: 0.9576 - val_loss: 0.3969 - val_categorical_accuracy: 0.8846 - 440ms/epoch - 9ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9482 - val_loss: 0.3552 - val_categorical_accuracy: 0.8977 - 380ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.3412 - categorical_accuracy: 0.9054 - val_loss: 0.3712 - val_categorical_accuracy: 0.8807 - 494ms/epoch - 10ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1392 - categorical_accuracy: 0.9533 - val_loss: 0.3827 - val_categorical_accuracy: 0.8881 - 320ms/epoch - 7ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1369 - categorical_accuracy: 0.9532 - val_loss: 0.3488 - val_categorical_accuracy: 0.8980 - 340ms/epoch - 7ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1292 - categorical_accuracy: 0.9547 - val_loss: 0.3639 - val_categorical_accuracy: 0.8930 - 340ms/epoch - 7ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9603 - val_loss: 0.3665 - val_categorical_accuracy: 0.8956 - 318ms/epoch - 6ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1621 - categorical_accuracy: 0.9458 - val_loss: 0.4174 - val_categorical_accuracy: 0.8838 - 320ms/epoch - 7ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1456 - categorical_accuracy: 0.9488 - val_loss: 0.3615 - val_categorical_accuracy: 0.8926 - 360ms/epoch - 7ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1216 - categorical_accuracy: 0.9579 - val_loss: 0.4849 - val_categorical_accuracy: 0.8698 - 390ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1740 - categorical_accuracy: 0.9449 - val_loss: 0.3650 - val_categorical_accuracy: 0.8923 - 490ms/epoch - 10ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1155 - categorical_accuracy: 0.9610 - val_loss: 0.3768 - val_categorical_accuracy: 0.8903 - 430ms/epoch - 9ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1207 - categorical_accuracy: 0.9576 - val_loss: 0.3681 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1712 - categorical_accuracy: 0.9410 - val_loss: 0.3610 - val_categorical_accuracy: 0.8964 - 370ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1575 - categorical_accuracy: 0.9478 - val_loss: 0.3551 - val_categorical_accuracy: 0.8968 - 370ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1352 - categorical_accuracy: 0.9529 - val_loss: 0.3830 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1492 - categorical_accuracy: 0.9474 - val_loss: 0.3669 - val_categorical_accuracy: 0.8943 - 420ms/epoch - 9ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1362 - categorical_accuracy: 0.9528 - val_loss: 0.6392 - val_categorical_accuracy: 0.8234 - 444ms/epoch - 9ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9514 - val_loss: 0.3661 - val_categorical_accuracy: 0.8989 - 370ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1114 - categorical_accuracy: 0.9624 - val_loss: 0.3539 - val_categorical_accuracy: 0.8985 - 360ms/epoch - 7ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1248 - categorical_accuracy: 0.9565 - val_loss: 0.4159 - val_categorical_accuracy: 0.8841 - 380ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1625 - categorical_accuracy: 0.9431 - val_loss: 0.3705 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1212 - categorical_accuracy: 0.9574 - val_loss: 0.3910 - val_categorical_accuracy: 0.8876 - 414ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1212 - categorical_accuracy: 0.9574 - val_loss: 0.3888 - val_categorical_accuracy: 0.8881 - 476ms/epoch - 10ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1790 - categorical_accuracy: 0.9374 - val_loss: 0.3561 - val_categorical_accuracy: 0.8997 - 440ms/epoch - 9ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1148 - categorical_accuracy: 0.9610 - val_loss: 0.3725 - val_categorical_accuracy: 0.8932 - 410ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1616 - categorical_accuracy: 0.9447 - val_loss: 0.3652 - val_categorical_accuracy: 0.8931 - 370ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1556 - categorical_accuracy: 0.9472 - val_loss: 0.4042 - val_categorical_accuracy: 0.8809 - 364ms/epoch - 7ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1221 - categorical_accuracy: 0.9575 - val_loss: 0.3646 - val_categorical_accuracy: 0.8968 - 370ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1208 - categorical_accuracy: 0.9584 - val_loss: 0.3623 - val_categorical_accuracy: 0.9000 - 430ms/epoch - 9ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1178 - categorical_accuracy: 0.9593 - val_loss: 0.3905 - val_categorical_accuracy: 0.8907 - 460ms/epoch - 9ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9596 - val_loss: 0.5554 - val_categorical_accuracy: 0.8521 - 350ms/epoch - 7ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.2309 - categorical_accuracy: 0.9311 - val_loss: 0.3542 - val_categorical_accuracy: 0.8987 - 354ms/epoch - 7ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1086 - categorical_accuracy: 0.9628 - val_loss: 0.3932 - val_categorical_accuracy: 0.8876 - 346ms/epoch - 7ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1133 - categorical_accuracy: 0.9612 - val_loss: 0.4056 - val_categorical_accuracy: 0.8880 - 350ms/epoch - 7ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1657 - categorical_accuracy: 0.9445 - val_loss: 0.4050 - val_categorical_accuracy: 0.8877 - 380ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1151 - categorical_accuracy: 0.9601 - val_loss: 0.4631 - val_categorical_accuracy: 0.8721 - 430ms/epoch - 9ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.2490 - categorical_accuracy: 0.9251 - val_loss: 0.3450 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1190 - categorical_accuracy: 0.9585 - val_loss: 0.4057 - val_categorical_accuracy: 0.8872 - 360ms/epoch - 7ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1556 - categorical_accuracy: 0.9482 - val_loss: 0.3685 - val_categorical_accuracy: 0.8942 - 360ms/epoch - 7ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1100 - categorical_accuracy: 0.9627 - val_loss: 0.3682 - val_categorical_accuracy: 0.8970 - 387ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1270 - categorical_accuracy: 0.9556 - val_loss: 0.3805 - val_categorical_accuracy: 0.8919 - 440ms/epoch - 9ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1056 - categorical_accuracy: 0.9641 - val_loss: 0.3847 - val_categorical_accuracy: 0.8937 - 440ms/epoch - 9ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1520 - categorical_accuracy: 0.9499 - val_loss: 0.3733 - val_categorical_accuracy: 0.8927 - 364ms/epoch - 7ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1159 - categorical_accuracy: 0.9589 - val_loss: 0.3798 - val_categorical_accuracy: 0.8952 - 360ms/epoch - 7ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9404 - val_loss: 0.6608 - val_categorical_accuracy: 0.8142 - 394ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1270 - categorical_accuracy: 0.9564 - val_loss: 0.3695 - val_categorical_accuracy: 0.8973 - 380ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1305 - categorical_accuracy: 0.9550 - val_loss: 0.3676 - val_categorical_accuracy: 0.8959 - 397ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1083 - categorical_accuracy: 0.9628 - val_loss: 0.4004 - val_categorical_accuracy: 0.8919 - 460ms/epoch - 9ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9491 - val_loss: 0.3645 - val_categorical_accuracy: 0.9017 - 430ms/epoch - 9ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1163 - categorical_accuracy: 0.9593 - val_loss: 0.4139 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1691 - categorical_accuracy: 0.9418 - val_loss: 0.3507 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9490 - val_loss: 0.7956 - val_categorical_accuracy: 0.7989 - 360ms/epoch - 7ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1818 - categorical_accuracy: 0.9420 - val_loss: 0.3799 - val_categorical_accuracy: 0.8918 - 360ms/epoch - 7ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1074 - categorical_accuracy: 0.9635 - val_loss: 0.3812 - val_categorical_accuracy: 0.8960 - 370ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1078 - categorical_accuracy: 0.9632 - val_loss: 0.3826 - val_categorical_accuracy: 0.8967 - 464ms/epoch - 9ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1618 - categorical_accuracy: 0.9446 - val_loss: 0.3825 - val_categorical_accuracy: 0.8881 - 440ms/epoch - 9ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1104 - categorical_accuracy: 0.9617 - val_loss: 0.3830 - val_categorical_accuracy: 0.8907 - 370ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9613 - val_loss: 0.4121 - val_categorical_accuracy: 0.8847 - 375ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9628 - val_loss: 0.3779 - val_categorical_accuracy: 0.9006 - 420ms/epoch - 9ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1197 - categorical_accuracy: 0.9579 - val_loss: 0.3818 - val_categorical_accuracy: 0.8976 - 397ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9470 - val_loss: 0.4665 - val_categorical_accuracy: 0.8726 - 420ms/epoch - 9ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1253 - categorical_accuracy: 0.9568 - val_loss: 0.3677 - val_categorical_accuracy: 0.9006 - 440ms/epoch - 9ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1026 - categorical_accuracy: 0.9647 - val_loss: 0.3842 - val_categorical_accuracy: 0.8972 - 440ms/epoch - 9ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.2046 - categorical_accuracy: 0.9379 - val_loss: 0.3638 - val_categorical_accuracy: 0.8996 - 360ms/epoch - 7ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1040 - categorical_accuracy: 0.9646 - val_loss: 0.4161 - val_categorical_accuracy: 0.8885 - 360ms/epoch - 7ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1106 - categorical_accuracy: 0.9611 - val_loss: 0.7127 - val_categorical_accuracy: 0.8265 - 350ms/epoch - 7ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.2432 - categorical_accuracy: 0.9282 - val_loss: 0.3718 - val_categorical_accuracy: 0.8936 - 360ms/epoch - 7ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9631 - val_loss: 0.3873 - val_categorical_accuracy: 0.8974 - 394ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1047 - categorical_accuracy: 0.9642 - val_loss: 0.3966 - val_categorical_accuracy: 0.8936 - 450ms/epoch - 9ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1576 - categorical_accuracy: 0.9471 - val_loss: 0.3614 - val_categorical_accuracy: 0.8977 - 430ms/epoch - 9ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1033 - categorical_accuracy: 0.9652 - val_loss: 0.4536 - val_categorical_accuracy: 0.8752 - 430ms/epoch - 9ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1883 - categorical_accuracy: 0.9410 - val_loss: 0.3769 - val_categorical_accuracy: 0.8929 - 370ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9649 - val_loss: 0.3838 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9614 - val_loss: 0.3826 - val_categorical_accuracy: 0.8975 - 380ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1486 - categorical_accuracy: 0.9496 - val_loss: 1.0868 - val_categorical_accuracy: 0.7658 - 340ms/epoch - 7ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1931 - categorical_accuracy: 0.9382 - val_loss: 0.3557 - val_categorical_accuracy: 0.9007 - 330ms/epoch - 7ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1049 - categorical_accuracy: 0.9637 - val_loss: 0.3863 - val_categorical_accuracy: 0.8958 - 380ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1025 - categorical_accuracy: 0.9645 - val_loss: 0.3952 - val_categorical_accuracy: 0.8905 - 384ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9660 - val_loss: 0.3840 - val_categorical_accuracy: 0.8980 - 396ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1781 - categorical_accuracy: 0.9414 - val_loss: 0.3564 - val_categorical_accuracy: 0.9032 - 385ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.0974 - categorical_accuracy: 0.9670 - val_loss: 0.3800 - val_categorical_accuracy: 0.8971 - 380ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9656 - val_loss: 0.3852 - val_categorical_accuracy: 0.8966 - 380ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.2058 - categorical_accuracy: 0.9413 - val_loss: 0.4236 - val_categorical_accuracy: 0.8753 - 474ms/epoch - 10ms/step
Epoch 536/1500
49/49 - 1s - loss: 0.1094 - categorical_accuracy: 0.9632 - val_loss: 0.3724 - val_categorical_accuracy: 0.8981 - 506ms/epoch - 10ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1000 - categorical_accuracy: 0.9660 - val_loss: 0.3773 - val_categorical_accuracy: 0.8999 - 360ms/epoch - 7ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1112 - categorical_accuracy: 0.9607 - val_loss: 0.3786 - val_categorical_accuracy: 0.9001 - 320ms/epoch - 7ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1034 - categorical_accuracy: 0.9640 - val_loss: 0.3947 - val_categorical_accuracy: 0.8948 - 320ms/epoch - 7ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.7301 - categorical_accuracy: 0.8092 - val_loss: 0.4166 - val_categorical_accuracy: 0.8594 - 320ms/epoch - 7ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1597 - categorical_accuracy: 0.9443 - val_loss: 0.3504 - val_categorical_accuracy: 0.8970 - 315ms/epoch - 6ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1155 - categorical_accuracy: 0.9611 - val_loss: 0.3771 - val_categorical_accuracy: 0.8922 - 340ms/epoch - 7ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1054 - categorical_accuracy: 0.9640 - val_loss: 0.3604 - val_categorical_accuracy: 0.9023 - 370ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9557 - val_loss: 0.3734 - val_categorical_accuracy: 0.8982 - 430ms/epoch - 9ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9647 - val_loss: 0.5732 - val_categorical_accuracy: 0.8645 - 480ms/epoch - 10ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1283 - categorical_accuracy: 0.9583 - val_loss: 0.3687 - val_categorical_accuracy: 0.9035 - 320ms/epoch - 7ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9654 - val_loss: 0.4002 - val_categorical_accuracy: 0.8861 - 380ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1046 - categorical_accuracy: 0.9641 - val_loss: 0.3750 - val_categorical_accuracy: 0.9008 - 340ms/epoch - 7ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9661 - val_loss: 0.3946 - val_categorical_accuracy: 0.8970 - 370ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1048 - categorical_accuracy: 0.9638 - val_loss: 0.4429 - val_categorical_accuracy: 0.8834 - 330ms/epoch - 7ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1988 - categorical_accuracy: 0.9351 - val_loss: 0.3728 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9646 - val_loss: 0.4541 - val_categorical_accuracy: 0.8798 - 370ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.1994 - categorical_accuracy: 0.9353 - val_loss: 0.3663 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9663 - val_loss: 0.3725 - val_categorical_accuracy: 0.8993 - 370ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.0973 - categorical_accuracy: 0.9663 - val_loss: 0.3832 - val_categorical_accuracy: 0.8998 - 370ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9654 - val_loss: 0.4005 - val_categorical_accuracy: 0.8977 - 380ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9489 - val_loss: 0.4069 - val_categorical_accuracy: 0.8897 - 384ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1002 - categorical_accuracy: 0.9653 - val_loss: 0.4065 - val_categorical_accuracy: 0.8909 - 470ms/epoch - 10ms/step
Epoch 559/1500
49/49 - 1s - loss: 0.1866 - categorical_accuracy: 0.9378 - val_loss: 0.3953 - val_categorical_accuracy: 0.8918 - 530ms/epoch - 11ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.0965 - categorical_accuracy: 0.9671 - val_loss: 0.4127 - val_categorical_accuracy: 0.8863 - 350ms/epoch - 7ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9624 - val_loss: 0.4131 - val_categorical_accuracy: 0.8919 - 320ms/epoch - 7ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9663 - val_loss: 0.4134 - val_categorical_accuracy: 0.8908 - 330ms/epoch - 7ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1397 - categorical_accuracy: 0.9518 - val_loss: 0.4391 - val_categorical_accuracy: 0.8861 - 340ms/epoch - 7ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1412 - categorical_accuracy: 0.9518 - val_loss: 0.3926 - val_categorical_accuracy: 0.8959 - 318ms/epoch - 6ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9661 - val_loss: 0.3865 - val_categorical_accuracy: 0.8999 - 360ms/epoch - 7ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9667 - val_loss: 0.3869 - val_categorical_accuracy: 0.8975 - 360ms/epoch - 7ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1553 - categorical_accuracy: 0.9480 - val_loss: 0.4181 - val_categorical_accuracy: 0.8916 - 370ms/epoch - 8ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.2519 - categorical_accuracy: 0.9262 - val_loss: 0.3609 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9666 - val_loss: 0.3841 - val_categorical_accuracy: 0.8977 - 490ms/epoch - 10ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9685 - val_loss: 0.3872 - val_categorical_accuracy: 0.8970 - 440ms/epoch - 9ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9657 - val_loss: 0.4016 - val_categorical_accuracy: 0.8961 - 370ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9661 - val_loss: 0.3753 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.0953 - categorical_accuracy: 0.9663 - val_loss: 0.4565 - val_categorical_accuracy: 0.8790 - 380ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.2053 - categorical_accuracy: 0.9394 - val_loss: 0.3682 - val_categorical_accuracy: 0.8998 - 383ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9680 - val_loss: 0.3874 - val_categorical_accuracy: 0.8965 - 407ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1577 - categorical_accuracy: 0.9504 - val_loss: 0.3984 - val_categorical_accuracy: 0.8847 - 440ms/epoch - 9ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9657 - val_loss: 0.3964 - val_categorical_accuracy: 0.8944 - 364ms/epoch - 7ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9655 - val_loss: 0.4000 - val_categorical_accuracy: 0.8934 - 386ms/epoch - 8ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1043 - categorical_accuracy: 0.9640 - val_loss: 0.3881 - val_categorical_accuracy: 0.8995 - 380ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9552 - val_loss: 0.6248 - val_categorical_accuracy: 0.8313 - 410ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.1140 - categorical_accuracy: 0.9606 - val_loss: 0.3728 - val_categorical_accuracy: 0.9051 - 480ms/epoch - 10ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.0947 - categorical_accuracy: 0.9665 - val_loss: 0.4187 - val_categorical_accuracy: 0.8934 - 380ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.1013 - categorical_accuracy: 0.9642 - val_loss: 0.5213 - val_categorical_accuracy: 0.8784 - 400ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.1884 - categorical_accuracy: 0.9436 - val_loss: 0.3938 - val_categorical_accuracy: 0.8936 - 410ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9690 - val_loss: 0.3721 - val_categorical_accuracy: 0.9050 - 360ms/epoch - 7ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.0975 - categorical_accuracy: 0.9660 - val_loss: 0.3992 - val_categorical_accuracy: 0.8977 - 370ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9654 - val_loss: 0.3961 - val_categorical_accuracy: 0.9018 - 380ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.2784 - categorical_accuracy: 0.9200 - val_loss: 0.3718 - val_categorical_accuracy: 0.8943 - 384ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9664 - val_loss: 0.4040 - val_categorical_accuracy: 0.8918 - 440ms/epoch - 9ms/step
Epoch 590/1500
49/49 - 1s - loss: 0.0939 - categorical_accuracy: 0.9676 - val_loss: 0.5580 - val_categorical_accuracy: 0.8542 - 530ms/epoch - 11ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9529 - val_loss: 0.3832 - val_categorical_accuracy: 0.8987 - 370ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9689 - val_loss: 0.4030 - val_categorical_accuracy: 0.8968 - 314ms/epoch - 6ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0980 - categorical_accuracy: 0.9655 - val_loss: 0.4051 - val_categorical_accuracy: 0.8939 - 326ms/epoch - 7ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9660 - val_loss: 0.4048 - val_categorical_accuracy: 0.9002 - 340ms/epoch - 7ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9668 - val_loss: 0.3938 - val_categorical_accuracy: 0.9018 - 310ms/epoch - 6ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9661 - val_loss: 0.4313 - val_categorical_accuracy: 0.8930 - 438ms/epoch - 9ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.1548 - categorical_accuracy: 0.9497 - val_loss: 0.4275 - val_categorical_accuracy: 0.8895 - 360ms/epoch - 7ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.1286 - categorical_accuracy: 0.9572 - val_loss: 0.3817 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.1104 - categorical_accuracy: 0.9618 - val_loss: 0.5012 - val_categorical_accuracy: 0.8704 - 390ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9656 - val_loss: 0.4080 - val_categorical_accuracy: 0.9000 - 380ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9669 - val_loss: 0.3973 - val_categorical_accuracy: 0.9000 - 370ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9693 - val_loss: 0.3944 - val_categorical_accuracy: 0.9026 - 370ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9673 - val_loss: 0.5063 - val_categorical_accuracy: 0.8837 - 368ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9412 - val_loss: 0.3842 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9667 - val_loss: 0.3912 - val_categorical_accuracy: 0.8995 - 410ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 1s - loss: 0.0931 - categorical_accuracy: 0.9675 - val_loss: 0.4271 - val_categorical_accuracy: 0.8960 - 500ms/epoch - 10ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9680 - val_loss: 0.5245 - val_categorical_accuracy: 0.8776 - 440ms/epoch - 9ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.1676 - categorical_accuracy: 0.9504 - val_loss: 0.4532 - val_categorical_accuracy: 0.8802 - 370ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.1424 - categorical_accuracy: 0.9522 - val_loss: 0.3866 - val_categorical_accuracy: 0.8990 - 380ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0913 - categorical_accuracy: 0.9681 - val_loss: 0.4645 - val_categorical_accuracy: 0.8810 - 380ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9649 - val_loss: 0.3959 - val_categorical_accuracy: 0.9000 - 360ms/epoch - 7ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.1174 - categorical_accuracy: 0.9594 - val_loss: 0.6662 - val_categorical_accuracy: 0.8571 - 370ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.1418 - categorical_accuracy: 0.9544 - val_loss: 0.3844 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9702 - val_loss: 0.4445 - val_categorical_accuracy: 0.8892 - 388ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1419 - categorical_accuracy: 0.9540 - val_loss: 0.9064 - val_categorical_accuracy: 0.7896 - 400ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.1462 - categorical_accuracy: 0.9525 - val_loss: 0.3811 - val_categorical_accuracy: 0.9017 - 380ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9695 - val_loss: 0.4176 - val_categorical_accuracy: 0.8920 - 380ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9688 - val_loss: 0.4807 - val_categorical_accuracy: 0.8742 - 390ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.2163 - categorical_accuracy: 0.9373 - val_loss: 0.4030 - val_categorical_accuracy: 0.8927 - 400ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9686 - val_loss: 0.3889 - val_categorical_accuracy: 0.9012 - 420ms/epoch - 9ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0935 - categorical_accuracy: 0.9669 - val_loss: 0.4023 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9706 - val_loss: 0.4155 - val_categorical_accuracy: 0.8934 - 400ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 1s - loss: 0.0919 - categorical_accuracy: 0.9671 - val_loss: 0.4426 - val_categorical_accuracy: 0.8893 - 540ms/epoch - 11ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9688 - val_loss: 0.4368 - val_categorical_accuracy: 0.8974 - 350ms/epoch - 7ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.2450 - categorical_accuracy: 0.9329 - val_loss: 0.3898 - val_categorical_accuracy: 0.8931 - 340ms/epoch - 7ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9670 - val_loss: 0.3964 - val_categorical_accuracy: 0.8998 - 330ms/epoch - 7ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9705 - val_loss: 0.4175 - val_categorical_accuracy: 0.8964 - 330ms/epoch - 7ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9690 - val_loss: 0.3944 - val_categorical_accuracy: 0.9010 - 330ms/epoch - 7ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9682 - val_loss: 0.4304 - val_categorical_accuracy: 0.8920 - 380ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.2299 - categorical_accuracy: 0.9335 - val_loss: 0.3719 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9698 - val_loss: 0.3954 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9669 - val_loss: 0.4284 - val_categorical_accuracy: 0.8933 - 370ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.1197 - categorical_accuracy: 0.9586 - val_loss: 0.7739 - val_categorical_accuracy: 0.8089 - 380ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.1192 - categorical_accuracy: 0.9616 - val_loss: 0.3935 - val_categorical_accuracy: 0.8999 - 380ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 1s - loss: 0.0882 - categorical_accuracy: 0.9690 - val_loss: 0.4865 - val_categorical_accuracy: 0.8801 - 580ms/epoch - 12ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.1565 - categorical_accuracy: 0.9495 - val_loss: 0.3881 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.0945 - categorical_accuracy: 0.9664 - val_loss: 0.3882 - val_categorical_accuracy: 0.9046 - 380ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.1093 - categorical_accuracy: 0.9610 - val_loss: 0.3926 - val_categorical_accuracy: 0.9011 - 380ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9700 - val_loss: 0.4161 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9701 - val_loss: 0.4167 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9681 - val_loss: 0.4859 - val_categorical_accuracy: 0.8843 - 430ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.2283 - categorical_accuracy: 0.9352 - val_loss: 0.4152 - val_categorical_accuracy: 0.8934 - 410ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0880 - categorical_accuracy: 0.9701 - val_loss: 0.4083 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9701 - val_loss: 0.4038 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.1316 - categorical_accuracy: 0.9570 - val_loss: 1.1738 - val_categorical_accuracy: 0.7068 - 388ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.1613 - categorical_accuracy: 0.9498 - val_loss: 0.3912 - val_categorical_accuracy: 0.9029 - 380ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9700 - val_loss: 0.3909 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9711 - val_loss: 0.4028 - val_categorical_accuracy: 0.8982 - 387ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9687 - val_loss: 0.3988 - val_categorical_accuracy: 0.9044 - 384ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9687 - val_loss: 0.4316 - val_categorical_accuracy: 0.8959 - 450ms/epoch - 9ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.1901 - categorical_accuracy: 0.9464 - val_loss: 0.3915 - val_categorical_accuracy: 0.9050 - 470ms/epoch - 10ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9706 - val_loss: 0.4117 - val_categorical_accuracy: 0.9007 - 380ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9699 - val_loss: 0.4345 - val_categorical_accuracy: 0.8963 - 380ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9693 - val_loss: 0.4154 - val_categorical_accuracy: 0.8993 - 375ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9696 - val_loss: 0.4222 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.1376 - categorical_accuracy: 0.9562 - val_loss: 0.7503 - val_categorical_accuracy: 0.8310 - 400ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.1247 - categorical_accuracy: 0.9583 - val_loss: 0.4328 - val_categorical_accuracy: 0.8912 - 380ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9704 - val_loss: 0.4395 - val_categorical_accuracy: 0.8915 - 380ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0978 - categorical_accuracy: 0.9664 - val_loss: 0.4120 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9509 - val_loss: 0.3843 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 1s - loss: 0.0844 - categorical_accuracy: 0.9706 - val_loss: 0.4131 - val_categorical_accuracy: 0.9010 - 510ms/epoch - 10ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9708 - val_loss: 0.4198 - val_categorical_accuracy: 0.8988 - 440ms/epoch - 9ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9708 - val_loss: 0.4498 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9673 - val_loss: 0.4334 - val_categorical_accuracy: 0.8967 - 360ms/epoch - 7ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9706 - val_loss: 0.4440 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.1694 - categorical_accuracy: 0.9465 - val_loss: 0.4209 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9708 - val_loss: 0.4133 - val_categorical_accuracy: 0.8996 - 420ms/epoch - 9ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9683 - val_loss: 0.3995 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9718 - val_loss: 0.4338 - val_categorical_accuracy: 0.8934 - 365ms/epoch - 7ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9668 - val_loss: 0.4294 - val_categorical_accuracy: 0.8968 - 490ms/epoch - 10ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9716 - val_loss: 0.4714 - val_categorical_accuracy: 0.8897 - 420ms/epoch - 9ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1749 - categorical_accuracy: 0.9450 - val_loss: 0.3997 - val_categorical_accuracy: 0.9024 - 370ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0892 - categorical_accuracy: 0.9685 - val_loss: 0.4498 - val_categorical_accuracy: 0.8904 - 370ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.1021 - categorical_accuracy: 0.9640 - val_loss: 0.4420 - val_categorical_accuracy: 0.8917 - 360ms/epoch - 7ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9695 - val_loss: 0.4401 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9690 - val_loss: 0.4252 - val_categorical_accuracy: 0.9003 - 450ms/epoch - 9ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9712 - val_loss: 0.4814 - val_categorical_accuracy: 0.8888 - 370ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.1703 - categorical_accuracy: 0.9465 - val_loss: 0.7661 - val_categorical_accuracy: 0.8376 - 370ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9650 - val_loss: 0.4239 - val_categorical_accuracy: 0.8976 - 370ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9718 - val_loss: 0.4323 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9720 - val_loss: 0.4116 - val_categorical_accuracy: 0.9036 - 440ms/epoch - 9ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9711 - val_loss: 0.4334 - val_categorical_accuracy: 0.8980 - 370ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.1999 - categorical_accuracy: 0.9422 - val_loss: 0.3928 - val_categorical_accuracy: 0.9047 - 380ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9722 - val_loss: 0.4504 - val_categorical_accuracy: 0.8912 - 370ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9670 - val_loss: 0.4011 - val_categorical_accuracy: 0.9055 - 370ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9716 - val_loss: 0.4471 - val_categorical_accuracy: 0.8956 - 400ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.1161 - categorical_accuracy: 0.9611 - val_loss: 0.4098 - val_categorical_accuracy: 0.9019 - 470ms/epoch - 10ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.2976 - categorical_accuracy: 0.9291 - val_loss: 0.6691 - val_categorical_accuracy: 0.7951 - 430ms/epoch - 9ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.1423 - categorical_accuracy: 0.9502 - val_loss: 0.3987 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9700 - val_loss: 0.3968 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9710 - val_loss: 0.4125 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9717 - val_loss: 0.3994 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9696 - val_loss: 0.4092 - val_categorical_accuracy: 0.9036 - 370ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9715 - val_loss: 0.4624 - val_categorical_accuracy: 0.8891 - 410ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9676 - val_loss: 0.4173 - val_categorical_accuracy: 0.9031 - 480ms/epoch - 10ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9708 - val_loss: 0.4487 - val_categorical_accuracy: 0.8967 - 450ms/epoch - 9ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9692 - val_loss: 0.4859 - val_categorical_accuracy: 0.8812 - 380ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.1830 - categorical_accuracy: 0.9468 - val_loss: 0.4048 - val_categorical_accuracy: 0.9018 - 370ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9716 - val_loss: 0.4039 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9724 - val_loss: 0.4141 - val_categorical_accuracy: 0.9033 - 360ms/epoch - 7ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9719 - val_loss: 0.4223 - val_categorical_accuracy: 0.9016 - 410ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.1589 - categorical_accuracy: 0.9515 - val_loss: 0.4114 - val_categorical_accuracy: 0.9011 - 470ms/epoch - 10ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9722 - val_loss: 0.4488 - val_categorical_accuracy: 0.8940 - 430ms/epoch - 9ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9714 - val_loss: 0.4833 - val_categorical_accuracy: 0.8920 - 360ms/epoch - 7ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.3938 - categorical_accuracy: 0.9025 - val_loss: 0.3783 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9707 - val_loss: 0.3937 - val_categorical_accuracy: 0.9042 - 370ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9720 - val_loss: 0.4223 - val_categorical_accuracy: 0.8975 - 380ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9694 - val_loss: 0.4057 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9693 - val_loss: 0.4331 - val_categorical_accuracy: 0.8941 - 460ms/epoch - 9ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9697 - val_loss: 0.4614 - val_categorical_accuracy: 0.8854 - 440ms/epoch - 9ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9708 - val_loss: 0.4446 - val_categorical_accuracy: 0.8932 - 370ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9709 - val_loss: 0.4667 - val_categorical_accuracy: 0.8915 - 380ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.2034 - categorical_accuracy: 0.9362 - val_loss: 0.3836 - val_categorical_accuracy: 0.9055 - 360ms/epoch - 7ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9731 - val_loss: 0.4256 - val_categorical_accuracy: 0.8950 - 360ms/epoch - 7ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9715 - val_loss: 0.4673 - val_categorical_accuracy: 0.8814 - 370ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9527 - val_loss: 0.4052 - val_categorical_accuracy: 0.8996 - 430ms/epoch - 9ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9732 - val_loss: 0.4507 - val_categorical_accuracy: 0.8932 - 380ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9710 - val_loss: 0.3994 - val_categorical_accuracy: 0.9080 - 360ms/epoch - 7ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9729 - val_loss: 0.4163 - val_categorical_accuracy: 0.9021 - 370ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.2169 - categorical_accuracy: 0.9391 - val_loss: 0.4055 - val_categorical_accuracy: 0.8900 - 370ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9689 - val_loss: 0.3885 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9727 - val_loss: 0.4021 - val_categorical_accuracy: 0.9032 - 480ms/epoch - 10ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9715 - val_loss: 0.4155 - val_categorical_accuracy: 0.9007 - 370ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9730 - val_loss: 0.4249 - val_categorical_accuracy: 0.8997 - 370ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9731 - val_loss: 0.4075 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9719 - val_loss: 0.4675 - val_categorical_accuracy: 0.8916 - 370ms/epoch - 8ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9674 - val_loss: 0.4383 - val_categorical_accuracy: 0.8930 - 440ms/epoch - 9ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9724 - val_loss: 0.4217 - val_categorical_accuracy: 0.9026 - 460ms/epoch - 9ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.2009 - categorical_accuracy: 0.9388 - val_loss: 0.4121 - val_categorical_accuracy: 0.8923 - 380ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9716 - val_loss: 0.4095 - val_categorical_accuracy: 0.9057 - 380ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9723 - val_loss: 0.4154 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9721 - val_loss: 0.4466 - val_categorical_accuracy: 0.8992 - 410ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9731 - val_loss: 0.4079 - val_categorical_accuracy: 0.9063 - 440ms/epoch - 9ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9724 - val_loss: 0.4417 - val_categorical_accuracy: 0.8987 - 440ms/epoch - 9ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9699 - val_loss: 0.4356 - val_categorical_accuracy: 0.8995 - 360ms/epoch - 7ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9727 - val_loss: 0.4262 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9723 - val_loss: 0.4555 - val_categorical_accuracy: 0.8990 - 380ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9718 - val_loss: 0.4343 - val_categorical_accuracy: 0.9025 - 380ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9709 - val_loss: 0.6513 - val_categorical_accuracy: 0.8671 - 390ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.2560 - categorical_accuracy: 0.9327 - val_loss: 0.4188 - val_categorical_accuracy: 0.8987 - 454ms/epoch - 9ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9716 - val_loss: 0.4388 - val_categorical_accuracy: 0.8990 - 450ms/epoch - 9ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9716 - val_loss: 0.4376 - val_categorical_accuracy: 0.8994 - 380ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9713 - val_loss: 0.4298 - val_categorical_accuracy: 0.8996 - 360ms/epoch - 7ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9722 - val_loss: 0.4464 - val_categorical_accuracy: 0.8994 - 360ms/epoch - 7ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9718 - val_loss: 0.5168 - val_categorical_accuracy: 0.8805 - 380ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9466 - val_loss: 0.4190 - val_categorical_accuracy: 0.9045 - 430ms/epoch - 9ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9724 - val_loss: 0.4608 - val_categorical_accuracy: 0.8913 - 410ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.2081 - categorical_accuracy: 0.9402 - val_loss: 0.4248 - val_categorical_accuracy: 0.8976 - 370ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9736 - val_loss: 0.4015 - val_categorical_accuracy: 0.9094 - 360ms/epoch - 7ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9740 - val_loss: 0.4282 - val_categorical_accuracy: 0.9007 - 360ms/epoch - 7ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9718 - val_loss: 0.4741 - val_categorical_accuracy: 0.8929 - 360ms/epoch - 7ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9693 - val_loss: 0.4510 - val_categorical_accuracy: 0.8919 - 460ms/epoch - 9ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9712 - val_loss: 0.4358 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9737 - val_loss: 0.4265 - val_categorical_accuracy: 0.9066 - 370ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9729 - val_loss: 0.4712 - val_categorical_accuracy: 0.8922 - 370ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9719 - val_loss: 0.4450 - val_categorical_accuracy: 0.8970 - 360ms/epoch - 7ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9732 - val_loss: 0.5056 - val_categorical_accuracy: 0.8876 - 400ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.2819 - categorical_accuracy: 0.9264 - val_loss: 0.4026 - val_categorical_accuracy: 0.9036 - 490ms/epoch - 10ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9739 - val_loss: 0.4300 - val_categorical_accuracy: 0.8953 - 430ms/epoch - 9ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9726 - val_loss: 0.4344 - val_categorical_accuracy: 0.9020 - 354ms/epoch - 7ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9729 - val_loss: 0.4303 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9725 - val_loss: 0.4426 - val_categorical_accuracy: 0.8950 - 370ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9734 - val_loss: 0.4559 - val_categorical_accuracy: 0.8976 - 380ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9689 - val_loss: 1.3457 - val_categorical_accuracy: 0.7956 - 390ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.1619 - categorical_accuracy: 0.9520 - val_loss: 0.4143 - val_categorical_accuracy: 0.9033 - 450ms/epoch - 9ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9733 - val_loss: 0.4491 - val_categorical_accuracy: 0.8945 - 450ms/epoch - 9ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.1538 - categorical_accuracy: 0.9544 - val_loss: 0.3990 - val_categorical_accuracy: 0.9025 - 380ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9740 - val_loss: 0.4298 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9685 - val_loss: 0.4123 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9722 - val_loss: 0.4257 - val_categorical_accuracy: 0.9017 - 385ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.1346 - categorical_accuracy: 0.9580 - val_loss: 0.4383 - val_categorical_accuracy: 0.8888 - 410ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9697 - val_loss: 0.4424 - val_categorical_accuracy: 0.8976 - 440ms/epoch - 9ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9737 - val_loss: 0.4283 - val_categorical_accuracy: 0.9037 - 430ms/epoch - 9ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9707 - val_loss: 0.5916 - val_categorical_accuracy: 0.8694 - 380ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.1210 - categorical_accuracy: 0.9616 - val_loss: 0.4340 - val_categorical_accuracy: 0.8989 - 364ms/epoch - 7ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9722 - val_loss: 0.4891 - val_categorical_accuracy: 0.8882 - 330ms/epoch - 7ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9729 - val_loss: 0.4357 - val_categorical_accuracy: 0.9020 - 340ms/epoch - 7ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.1732 - categorical_accuracy: 0.9497 - val_loss: 0.4085 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9730 - val_loss: 0.4371 - val_categorical_accuracy: 0.8976 - 360ms/epoch - 7ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9729 - val_loss: 0.4204 - val_categorical_accuracy: 0.9044 - 370ms/epoch - 8ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9739 - val_loss: 0.4358 - val_categorical_accuracy: 0.9030 - 368ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9702 - val_loss: 0.4191 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 1s - loss: 0.0725 - categorical_accuracy: 0.9743 - val_loss: 0.4240 - val_categorical_accuracy: 0.9040 - 540ms/epoch - 11ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9692 - val_loss: 0.4443 - val_categorical_accuracy: 0.9051 - 320ms/epoch - 7ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9737 - val_loss: 0.4542 - val_categorical_accuracy: 0.8975 - 310ms/epoch - 6ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9740 - val_loss: 0.4392 - val_categorical_accuracy: 0.9044 - 314ms/epoch - 6ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9729 - val_loss: 0.4380 - val_categorical_accuracy: 0.9010 - 320ms/epoch - 7ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9709 - val_loss: 0.4378 - val_categorical_accuracy: 0.9029 - 330ms/epoch - 7ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9742 - val_loss: 0.4828 - val_categorical_accuracy: 0.8937 - 380ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9727 - val_loss: 0.4654 - val_categorical_accuracy: 0.8994 - 360ms/epoch - 7ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9716 - val_loss: 0.5046 - val_categorical_accuracy: 0.8842 - 364ms/epoch - 7ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9715 - val_loss: 0.4495 - val_categorical_accuracy: 0.9050 - 376ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.2024 - categorical_accuracy: 0.9442 - val_loss: 0.4510 - val_categorical_accuracy: 0.8838 - 380ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9704 - val_loss: 0.4226 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9756 - val_loss: 0.4347 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9758 - val_loss: 0.4533 - val_categorical_accuracy: 0.8987 - 380ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.1553 - categorical_accuracy: 0.9539 - val_loss: 0.4341 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9744 - val_loss: 0.4271 - val_categorical_accuracy: 0.9059 - 430ms/epoch - 9ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9744 - val_loss: 0.4535 - val_categorical_accuracy: 0.9001 - 460ms/epoch - 9ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9719 - val_loss: 0.4535 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9753 - val_loss: 0.4299 - val_categorical_accuracy: 0.9044 - 384ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.2422 - categorical_accuracy: 0.9333 - val_loss: 0.4005 - val_categorical_accuracy: 0.8949 - 396ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 1s - loss: 0.0839 - categorical_accuracy: 0.9704 - val_loss: 0.4211 - val_categorical_accuracy: 0.9023 - 500ms/epoch - 10ms/step
Epoch 804/1500
49/49 - 1s - loss: 0.0745 - categorical_accuracy: 0.9736 - val_loss: 0.4143 - val_categorical_accuracy: 0.9091 - 524ms/epoch - 11ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9743 - val_loss: 0.4375 - val_categorical_accuracy: 0.9043 - 340ms/epoch - 7ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9753 - val_loss: 0.4507 - val_categorical_accuracy: 0.8990 - 344ms/epoch - 7ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9734 - val_loss: 0.4494 - val_categorical_accuracy: 0.9005 - 340ms/epoch - 7ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9745 - val_loss: 0.4398 - val_categorical_accuracy: 0.9025 - 330ms/epoch - 7ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9750 - val_loss: 0.7143 - val_categorical_accuracy: 0.8487 - 330ms/epoch - 7ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.1371 - categorical_accuracy: 0.9578 - val_loss: 0.4310 - val_categorical_accuracy: 0.9042 - 380ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9747 - val_loss: 0.4541 - val_categorical_accuracy: 0.9004 - 380ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9740 - val_loss: 0.4298 - val_categorical_accuracy: 0.9065 - 405ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9725 - val_loss: 0.4412 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9729 - val_loss: 0.4608 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9745 - val_loss: 0.5522 - val_categorical_accuracy: 0.8778 - 384ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.2470 - categorical_accuracy: 0.9326 - val_loss: 0.4134 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9749 - val_loss: 0.4475 - val_categorical_accuracy: 0.8980 - 414ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9743 - val_loss: 0.4283 - val_categorical_accuracy: 0.9074 - 380ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9733 - val_loss: 0.4729 - val_categorical_accuracy: 0.8999 - 380ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9746 - val_loss: 0.4383 - val_categorical_accuracy: 0.9051 - 395ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9727 - val_loss: 0.4567 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.1910 - categorical_accuracy: 0.9435 - val_loss: 0.4168 - val_categorical_accuracy: 0.9023 - 410ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9744 - val_loss: 0.4318 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9724 - val_loss: 0.4385 - val_categorical_accuracy: 0.9001 - 388ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9736 - val_loss: 0.4367 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9760 - val_loss: 0.4604 - val_categorical_accuracy: 0.9014 - 440ms/epoch - 9ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9734 - val_loss: 0.4806 - val_categorical_accuracy: 0.8965 - 415ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9748 - val_loss: 0.4905 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9741 - val_loss: 0.4923 - val_categorical_accuracy: 0.8985 - 380ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.3697 - categorical_accuracy: 0.9092 - val_loss: 0.4253 - val_categorical_accuracy: 0.8835 - 400ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9696 - val_loss: 0.4238 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9746 - val_loss: 0.4354 - val_categorical_accuracy: 0.9002 - 380ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9722 - val_loss: 0.4366 - val_categorical_accuracy: 0.9038 - 410ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9748 - val_loss: 0.4516 - val_categorical_accuracy: 0.8996 - 430ms/epoch - 9ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9745 - val_loss: 0.4501 - val_categorical_accuracy: 0.8977 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9748 - val_loss: 0.4498 - val_categorical_accuracy: 0.9016 - 380ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9688 - val_loss: 0.5611 - val_categorical_accuracy: 0.8755 - 390ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9731 - val_loss: 0.4482 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9743 - val_loss: 0.4499 - val_categorical_accuracy: 0.9017 - 410ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9663 - val_loss: 0.4496 - val_categorical_accuracy: 0.8995 - 440ms/epoch - 9ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9750 - val_loss: 0.4472 - val_categorical_accuracy: 0.9048 - 430ms/epoch - 9ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4399 - val_categorical_accuracy: 0.9078 - 384ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9750 - val_loss: 0.4451 - val_categorical_accuracy: 0.9066 - 420ms/epoch - 9ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9745 - val_loss: 0.4712 - val_categorical_accuracy: 0.9022 - 380ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9756 - val_loss: 0.5173 - val_categorical_accuracy: 0.8949 - 370ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.2612 - categorical_accuracy: 0.9334 - val_loss: 0.4235 - val_categorical_accuracy: 0.9003 - 370ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9751 - val_loss: 0.4394 - val_categorical_accuracy: 0.9024 - 370ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.4474 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9752 - val_loss: 0.4765 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9734 - val_loss: 0.4671 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9745 - val_loss: 0.4976 - val_categorical_accuracy: 0.8954 - 380ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9735 - val_loss: 0.5302 - val_categorical_accuracy: 0.8829 - 390ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9737 - val_loss: 0.4662 - val_categorical_accuracy: 0.9038 - 380ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9720 - val_loss: 0.4631 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9730 - val_loss: 0.4666 - val_categorical_accuracy: 0.9025 - 380ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.1253 - categorical_accuracy: 0.9639 - val_loss: 1.0704 - val_categorical_accuracy: 0.7951 - 390ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.1672 - categorical_accuracy: 0.9494 - val_loss: 0.4231 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9756 - val_loss: 0.4266 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9755 - val_loss: 0.4519 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9757 - val_loss: 0.4655 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9746 - val_loss: 0.4489 - val_categorical_accuracy: 0.9068 - 410ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9751 - val_loss: 0.4413 - val_categorical_accuracy: 0.9074 - 450ms/epoch - 9ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9720 - val_loss: 0.4544 - val_categorical_accuracy: 0.9041 - 382ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9756 - val_loss: 0.4966 - val_categorical_accuracy: 0.8968 - 467ms/epoch - 10ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.2013 - categorical_accuracy: 0.9437 - val_loss: 0.4402 - val_categorical_accuracy: 0.9028 - 410ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9765 - val_loss: 0.4458 - val_categorical_accuracy: 0.9033 - 450ms/epoch - 9ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9762 - val_loss: 0.4813 - val_categorical_accuracy: 0.8980 - 384ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.1613 - categorical_accuracy: 0.9509 - val_loss: 0.6004 - val_categorical_accuracy: 0.8574 - 430ms/epoch - 9ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.4442 - val_categorical_accuracy: 0.8990 - 460ms/epoch - 9ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9758 - val_loss: 0.4395 - val_categorical_accuracy: 0.9049 - 450ms/epoch - 9ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9774 - val_loss: 0.4510 - val_categorical_accuracy: 0.9072 - 340ms/epoch - 7ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9726 - val_loss: 0.4452 - val_categorical_accuracy: 0.9053 - 370ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9754 - val_loss: 0.4603 - val_categorical_accuracy: 0.9024 - 340ms/epoch - 7ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9750 - val_loss: 0.4655 - val_categorical_accuracy: 0.9034 - 360ms/epoch - 7ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9760 - val_loss: 0.4847 - val_categorical_accuracy: 0.8989 - 330ms/epoch - 7ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9734 - val_loss: 0.4588 - val_categorical_accuracy: 0.9036 - 370ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9762 - val_loss: 0.4795 - val_categorical_accuracy: 0.8993 - 470ms/epoch - 10ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.1348 - categorical_accuracy: 0.9595 - val_loss: 0.4390 - val_categorical_accuracy: 0.9053 - 440ms/epoch - 9ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9766 - val_loss: 0.4682 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9759 - val_loss: 0.4732 - val_categorical_accuracy: 0.8957 - 360ms/epoch - 7ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.2827 - categorical_accuracy: 0.9247 - val_loss: 0.4487 - val_categorical_accuracy: 0.8956 - 330ms/epoch - 7ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9734 - val_loss: 0.4388 - val_categorical_accuracy: 0.9030 - 330ms/epoch - 7ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9750 - val_loss: 0.4403 - val_categorical_accuracy: 0.9016 - 330ms/epoch - 7ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9730 - val_loss: 0.4617 - val_categorical_accuracy: 0.8987 - 370ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9746 - val_loss: 0.4418 - val_categorical_accuracy: 0.9058 - 370ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 1s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.4577 - val_categorical_accuracy: 0.9012 - 550ms/epoch - 11ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9767 - val_loss: 0.4519 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9748 - val_loss: 0.4525 - val_categorical_accuracy: 0.9057 - 384ms/epoch - 8ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9773 - val_loss: 0.4889 - val_categorical_accuracy: 0.8970 - 380ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.2136 - categorical_accuracy: 0.9444 - val_loss: 0.4266 - val_categorical_accuracy: 0.9035 - 420ms/epoch - 9ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9752 - val_loss: 0.4337 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.1414 - categorical_accuracy: 0.9578 - val_loss: 0.4151 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9760 - val_loss: 0.4358 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9744 - val_loss: 0.4690 - val_categorical_accuracy: 0.9011 - 470ms/epoch - 10ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9760 - val_loss: 0.4526 - val_categorical_accuracy: 0.9039 - 430ms/epoch - 9ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9758 - val_loss: 0.4618 - val_categorical_accuracy: 0.9014 - 360ms/epoch - 7ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9767 - val_loss: 0.4986 - val_categorical_accuracy: 0.8927 - 370ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9745 - val_loss: 0.4691 - val_categorical_accuracy: 0.9009 - 374ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9755 - val_loss: 0.5407 - val_categorical_accuracy: 0.8845 - 360ms/epoch - 7ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9688 - val_loss: 0.5085 - val_categorical_accuracy: 0.8953 - 390ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9743 - val_loss: 0.4815 - val_categorical_accuracy: 0.8959 - 480ms/epoch - 10ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9751 - val_loss: 0.5506 - val_categorical_accuracy: 0.8854 - 450ms/epoch - 9ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.2112 - categorical_accuracy: 0.9434 - val_loss: 0.4433 - val_categorical_accuracy: 0.9040 - 360ms/epoch - 7ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9769 - val_loss: 0.4594 - val_categorical_accuracy: 0.9045 - 350ms/epoch - 7ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9766 - val_loss: 0.4658 - val_categorical_accuracy: 0.8992 - 360ms/epoch - 7ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9759 - val_loss: 0.4791 - val_categorical_accuracy: 0.8988 - 360ms/epoch - 7ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.1732 - categorical_accuracy: 0.9486 - val_loss: 0.4630 - val_categorical_accuracy: 0.8980 - 360ms/epoch - 7ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9753 - val_loss: 0.4451 - val_categorical_accuracy: 0.9023 - 420ms/epoch - 9ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9757 - val_loss: 0.5236 - val_categorical_accuracy: 0.8857 - 360ms/epoch - 7ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9758 - val_loss: 0.4662 - val_categorical_accuracy: 0.9024 - 360ms/epoch - 7ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9764 - val_loss: 0.4858 - val_categorical_accuracy: 0.8975 - 350ms/epoch - 7ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9758 - val_loss: 0.4971 - val_categorical_accuracy: 0.8930 - 360ms/epoch - 7ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9497 - val_loss: 0.4319 - val_categorical_accuracy: 0.9026 - 380ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9759 - val_loss: 0.5019 - val_categorical_accuracy: 0.8922 - 430ms/epoch - 9ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9754 - val_loss: 0.4544 - val_categorical_accuracy: 0.9032 - 370ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9772 - val_loss: 0.4671 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9769 - val_loss: 0.4773 - val_categorical_accuracy: 0.8975 - 360ms/epoch - 7ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9757 - val_loss: 0.4555 - val_categorical_accuracy: 0.9077 - 370ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9738 - val_loss: 0.7735 - val_categorical_accuracy: 0.8359 - 410ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.1999 - categorical_accuracy: 0.9430 - val_loss: 0.4425 - val_categorical_accuracy: 0.9009 - 440ms/epoch - 9ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9761 - val_loss: 0.4470 - val_categorical_accuracy: 0.9065 - 420ms/epoch - 9ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9777 - val_loss: 0.4544 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9762 - val_loss: 0.4719 - val_categorical_accuracy: 0.9008 - 360ms/epoch - 7ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9520 - val_loss: 0.4402 - val_categorical_accuracy: 0.8986 - 360ms/epoch - 7ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9757 - val_loss: 0.4545 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9778 - val_loss: 0.4580 - val_categorical_accuracy: 0.9059 - 380ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9773 - val_loss: 0.4637 - val_categorical_accuracy: 0.9031 - 440ms/epoch - 9ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9779 - val_loss: 0.4944 - val_categorical_accuracy: 0.8935 - 360ms/epoch - 7ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9715 - val_loss: 0.4763 - val_categorical_accuracy: 0.8984 - 370ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9750 - val_loss: 0.4881 - val_categorical_accuracy: 0.9018 - 370ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9473 - val_loss: 0.4459 - val_categorical_accuracy: 0.9024 - 360ms/epoch - 7ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9756 - val_loss: 0.4522 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9778 - val_loss: 0.4837 - val_categorical_accuracy: 0.8984 - 450ms/epoch - 9ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9774 - val_loss: 0.4637 - val_categorical_accuracy: 0.9034 - 440ms/epoch - 9ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9770 - val_loss: 0.5042 - val_categorical_accuracy: 0.8956 - 360ms/epoch - 7ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.1751 - categorical_accuracy: 0.9511 - val_loss: 0.4296 - val_categorical_accuracy: 0.9060 - 370ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9769 - val_loss: 0.4431 - val_categorical_accuracy: 0.9059 - 370ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9760 - val_loss: 0.4706 - val_categorical_accuracy: 0.9022 - 370ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9764 - val_loss: 0.4538 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9772 - val_loss: 0.4781 - val_categorical_accuracy: 0.9033 - 440ms/epoch - 9ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9765 - val_loss: 0.4782 - val_categorical_accuracy: 0.9010 - 440ms/epoch - 9ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9755 - val_loss: 0.4767 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9750 - val_loss: 0.4683 - val_categorical_accuracy: 0.9050 - 360ms/epoch - 7ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9770 - val_loss: 0.4797 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9764 - val_loss: 0.5144 - val_categorical_accuracy: 0.8972 - 360ms/epoch - 7ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.2211 - categorical_accuracy: 0.9406 - val_loss: 0.4486 - val_categorical_accuracy: 0.8999 - 360ms/epoch - 7ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9762 - val_loss: 0.4669 - val_categorical_accuracy: 0.8994 - 360ms/epoch - 7ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9743 - val_loss: 0.4951 - val_categorical_accuracy: 0.8979 - 430ms/epoch - 9ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.4719 - val_categorical_accuracy: 0.9035 - 370ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9754 - val_loss: 0.4907 - val_categorical_accuracy: 0.8995 - 370ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9768 - val_loss: 0.7130 - val_categorical_accuracy: 0.8559 - 370ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0912 - categorical_accuracy: 0.9685 - val_loss: 0.5245 - val_categorical_accuracy: 0.8959 - 366ms/epoch - 7ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9471 - val_loss: 0.4635 - val_categorical_accuracy: 0.8977 - 380ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9768 - val_loss: 0.4948 - val_categorical_accuracy: 0.8902 - 448ms/epoch - 9ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9774 - val_loss: 0.4740 - val_categorical_accuracy: 0.9033 - 434ms/epoch - 9ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9780 - val_loss: 0.4719 - val_categorical_accuracy: 0.9055 - 430ms/epoch - 9ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9768 - val_loss: 0.4912 - val_categorical_accuracy: 0.9007 - 374ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9752 - val_loss: 0.4641 - val_categorical_accuracy: 0.9056 - 386ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9772 - val_loss: 0.4781 - val_categorical_accuracy: 0.9038 - 370ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9770 - val_loss: 0.4715 - val_categorical_accuracy: 0.9016 - 364ms/epoch - 7ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9776 - val_loss: 0.4727 - val_categorical_accuracy: 0.9010 - 380ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9743 - val_loss: 0.4739 - val_categorical_accuracy: 0.9063 - 420ms/epoch - 9ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9761 - val_loss: 0.5131 - val_categorical_accuracy: 0.8957 - 370ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9748 - val_loss: 0.5372 - val_categorical_accuracy: 0.8886 - 360ms/epoch - 7ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.5168 - categorical_accuracy: 0.8770 - val_loss: 0.4226 - val_categorical_accuracy: 0.8949 - 370ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9689 - val_loss: 0.4495 - val_categorical_accuracy: 0.9008 - 364ms/epoch - 7ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9754 - val_loss: 0.4558 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9767 - val_loss: 0.4555 - val_categorical_accuracy: 0.9036 - 490ms/epoch - 10ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9760 - val_loss: 0.4539 - val_categorical_accuracy: 0.9056 - 350ms/epoch - 7ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9776 - val_loss: 0.4730 - val_categorical_accuracy: 0.9004 - 380ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9778 - val_loss: 0.5053 - val_categorical_accuracy: 0.8948 - 329ms/epoch - 7ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9718 - val_loss: 0.4940 - val_categorical_accuracy: 0.8970 - 320ms/epoch - 7ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9745 - val_loss: 0.4839 - val_categorical_accuracy: 0.9020 - 320ms/epoch - 7ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9771 - val_loss: 0.5036 - val_categorical_accuracy: 0.8964 - 374ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.1278 - categorical_accuracy: 0.9611 - val_loss: 0.4705 - val_categorical_accuracy: 0.9003 - 370ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9767 - val_loss: 0.4954 - val_categorical_accuracy: 0.8950 - 374ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9720 - val_loss: 0.4712 - val_categorical_accuracy: 0.9038 - 379ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9749 - val_loss: 0.4943 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9752 - val_loss: 0.4963 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9769 - val_loss: 0.4912 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9505 - val_loss: 0.4793 - val_categorical_accuracy: 0.8949 - 394ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9774 - val_loss: 0.4740 - val_categorical_accuracy: 0.9004 - 396ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9775 - val_loss: 0.4671 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.4833 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.5220 - val_categorical_accuracy: 0.8887 - 410ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9721 - val_loss: 0.4654 - val_categorical_accuracy: 0.9063 - 404ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9784 - val_loss: 0.4804 - val_categorical_accuracy: 0.9045 - 396ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9770 - val_loss: 0.5380 - val_categorical_accuracy: 0.8891 - 400ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9731 - val_loss: 0.5075 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9770 - val_loss: 0.4955 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.1526 - categorical_accuracy: 0.9573 - val_loss: 0.4765 - val_categorical_accuracy: 0.8965 - 404ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9765 - val_loss: 0.5131 - val_categorical_accuracy: 0.8941 - 386ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9763 - val_loss: 0.4792 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9776 - val_loss: 0.4846 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9744 - val_loss: 0.5244 - val_categorical_accuracy: 0.8875 - 390ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9763 - val_loss: 0.4762 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.4799 - val_categorical_accuracy: 0.9053 - 394ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9777 - val_loss: 0.7021 - val_categorical_accuracy: 0.8502 - 400ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.1713 - categorical_accuracy: 0.9500 - val_loss: 0.4617 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9786 - val_loss: 0.4705 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9781 - val_loss: 0.4657 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9789 - val_loss: 0.5118 - val_categorical_accuracy: 0.8967 - 414ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9765 - val_loss: 0.4967 - val_categorical_accuracy: 0.9013 - 410ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9741 - val_loss: 0.4798 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9775 - val_loss: 0.5120 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.2658 - categorical_accuracy: 0.9344 - val_loss: 0.4527 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9775 - val_loss: 0.4516 - val_categorical_accuracy: 0.9094 - 392ms/epoch - 8ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9787 - val_loss: 0.4595 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9790 - val_loss: 0.4940 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9777 - val_loss: 0.5084 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9748 - val_loss: 0.4872 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9765 - val_loss: 0.4824 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9765 - val_loss: 0.5372 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9755 - val_loss: 0.5282 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.1859 - categorical_accuracy: 0.9461 - val_loss: 0.4702 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9782 - val_loss: 0.4585 - val_categorical_accuracy: 0.9055 - 410ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.5058 - val_categorical_accuracy: 0.8993 - 410ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9784 - val_loss: 0.4834 - val_categorical_accuracy: 0.9060 - 410ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.4749 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9784 - val_loss: 0.6199 - val_categorical_accuracy: 0.8707 - 400ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.1298 - categorical_accuracy: 0.9609 - val_loss: 0.4933 - val_categorical_accuracy: 0.8957 - 400ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9773 - val_loss: 0.5207 - val_categorical_accuracy: 0.8954 - 400ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9723 - val_loss: 0.5070 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9775 - val_loss: 0.4719 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9779 - val_loss: 0.5120 - val_categorical_accuracy: 0.8958 - 410ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.4868 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9770 - val_loss: 0.4867 - val_categorical_accuracy: 0.9016 - 387ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.5124 - val_categorical_accuracy: 0.9045 - 410ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.1537 - categorical_accuracy: 0.9554 - val_loss: 0.4654 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9730 - val_loss: 0.4795 - val_categorical_accuracy: 0.9046 - 420ms/epoch - 9ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9781 - val_loss: 0.4824 - val_categorical_accuracy: 0.8993 - 370ms/epoch - 8ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9775 - val_loss: 0.5096 - val_categorical_accuracy: 0.8980 - 370ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9765 - val_loss: 0.5029 - val_categorical_accuracy: 0.8982 - 370ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9742 - val_loss: 0.5523 - val_categorical_accuracy: 0.8939 - 430ms/epoch - 9ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9721 - val_loss: 0.4856 - val_categorical_accuracy: 0.9031 - 460ms/epoch - 9ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9758 - val_loss: 0.4918 - val_categorical_accuracy: 0.9056 - 430ms/epoch - 9ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9790 - val_loss: 0.5074 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9751 - val_loss: 0.5091 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9771 - val_loss: 0.5085 - val_categorical_accuracy: 0.8998 - 370ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.1576 - categorical_accuracy: 0.9543 - val_loss: 0.5194 - val_categorical_accuracy: 0.8927 - 320ms/epoch - 7ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9777 - val_loss: 0.4790 - val_categorical_accuracy: 0.9059 - 320ms/epoch - 7ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9784 - val_loss: 0.4797 - val_categorical_accuracy: 0.9061 - 330ms/epoch - 7ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9775 - val_loss: 0.4936 - val_categorical_accuracy: 0.9014 - 320ms/epoch - 7ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9775 - val_loss: 0.5076 - val_categorical_accuracy: 0.9018 - 370ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9747 - val_loss: 0.4857 - val_categorical_accuracy: 0.9066 - 370ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.5080 - val_categorical_accuracy: 0.9042 - 380ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9777 - val_loss: 0.4922 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9779 - val_loss: 0.5518 - val_categorical_accuracy: 0.8896 - 378ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9742 - val_loss: 0.8208 - val_categorical_accuracy: 0.8638 - 400ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.3320 - categorical_accuracy: 0.9210 - val_loss: 0.4492 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9768 - val_loss: 0.4663 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9795 - val_loss: 0.4767 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9795 - val_loss: 0.4728 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9782 - val_loss: 0.4892 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.5002 - val_categorical_accuracy: 0.8986 - 420ms/epoch - 9ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9746 - val_loss: 0.4996 - val_categorical_accuracy: 0.9047 - 410ms/epoch - 8ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9780 - val_loss: 0.5299 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9783 - val_loss: 0.5189 - val_categorical_accuracy: 0.9001 - 398ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9779 - val_loss: 0.4838 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9778 - val_loss: 0.4972 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9782 - val_loss: 0.5293 - val_categorical_accuracy: 0.8944 - 390ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9756 - val_loss: 0.5448 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9741 - val_loss: 0.7177 - val_categorical_accuracy: 0.8612 - 390ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.2166 - categorical_accuracy: 0.9426 - val_loss: 0.4891 - val_categorical_accuracy: 0.8944 - 400ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9775 - val_loss: 0.4871 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9767 - val_loss: 0.5388 - val_categorical_accuracy: 0.8919 - 410ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9776 - val_loss: 0.4889 - val_categorical_accuracy: 0.9061 - 410ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9776 - val_loss: 0.5329 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9773 - val_loss: 0.4969 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.4923 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9791 - val_loss: 0.4995 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9790 - val_loss: 0.5129 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9766 - val_loss: 0.5048 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9753 - val_loss: 0.4976 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.4918 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9787 - val_loss: 0.5481 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9781 - val_loss: 0.4970 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9786 - val_loss: 0.5378 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.2060 - categorical_accuracy: 0.9445 - val_loss: 0.4889 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.1541 - categorical_accuracy: 0.9563 - val_loss: 0.4546 - val_categorical_accuracy: 0.8906 - 400ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9742 - val_loss: 0.4840 - val_categorical_accuracy: 0.8999 - 410ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9786 - val_loss: 0.4781 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9795 - val_loss: 0.5000 - val_categorical_accuracy: 0.9010 - 394ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9795 - val_loss: 0.5048 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9744 - val_loss: 0.8460 - val_categorical_accuracy: 0.8393 - 440ms/epoch - 9ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.1380 - categorical_accuracy: 0.9590 - val_loss: 0.4756 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9789 - val_loss: 0.4918 - val_categorical_accuracy: 0.9014 - 410ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9764 - val_loss: 0.5027 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9790 - val_loss: 0.4846 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9797 - val_loss: 0.4829 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9781 - val_loss: 0.5668 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9764 - val_loss: 0.5294 - val_categorical_accuracy: 0.8954 - 400ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9783 - val_loss: 0.5219 - val_categorical_accuracy: 0.8976 - 424ms/epoch - 9ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9788 - val_loss: 0.4971 - val_categorical_accuracy: 0.9021 - 380ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9768 - val_loss: 0.5066 - val_categorical_accuracy: 0.9022 - 380ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9774 - val_loss: 0.5109 - val_categorical_accuracy: 0.9025 - 410ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9773 - val_loss: 0.5317 - val_categorical_accuracy: 0.8981 - 380ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9782 - val_loss: 0.5044 - val_categorical_accuracy: 0.9051 - 374ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.1955 - categorical_accuracy: 0.9477 - val_loss: 0.4830 - val_categorical_accuracy: 0.8951 - 380ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9786 - val_loss: 0.4836 - val_categorical_accuracy: 0.9044 - 410ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9784 - val_loss: 0.4925 - val_categorical_accuracy: 0.9037 - 410ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9772 - val_loss: 0.5257 - val_categorical_accuracy: 0.8953 - 380ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.5059 - val_categorical_accuracy: 0.9039 - 384ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9762 - val_loss: 0.5072 - val_categorical_accuracy: 0.9030 - 440ms/epoch - 9ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9798 - val_loss: 0.5068 - val_categorical_accuracy: 0.9019 - 480ms/epoch - 10ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.1669 - categorical_accuracy: 0.9547 - val_loss: 0.4656 - val_categorical_accuracy: 0.9037 - 380ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9774 - val_loss: 0.4932 - val_categorical_accuracy: 0.9002 - 380ms/epoch - 8ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9790 - val_loss: 0.4995 - val_categorical_accuracy: 0.9014 - 394ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9778 - val_loss: 0.5193 - val_categorical_accuracy: 0.8997 - 380ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9787 - val_loss: 0.5274 - val_categorical_accuracy: 0.8967 - 384ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9787 - val_loss: 0.5146 - val_categorical_accuracy: 0.9024 - 380ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9753 - val_loss: 0.5195 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9793 - val_loss: 0.5287 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 1s - loss: 0.0620 - categorical_accuracy: 0.9772 - val_loss: 0.4903 - val_categorical_accuracy: 0.9057 - 530ms/epoch - 11ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9787 - val_loss: 0.5091 - val_categorical_accuracy: 0.9034 - 450ms/epoch - 9ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9709 - val_loss: 2.2043 - val_categorical_accuracy: 0.6972 - 410ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.2153 - categorical_accuracy: 0.9434 - val_loss: 0.4716 - val_categorical_accuracy: 0.9060 - 384ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9783 - val_loss: 0.4833 - val_categorical_accuracy: 0.9033 - 326ms/epoch - 7ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9792 - val_loss: 0.4872 - val_categorical_accuracy: 0.9087 - 330ms/epoch - 7ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9786 - val_loss: 0.5020 - val_categorical_accuracy: 0.9041 - 360ms/epoch - 7ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9584 - val_loss: 0.4742 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.4805 - val_categorical_accuracy: 0.9019 - 420ms/epoch - 9ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9788 - val_loss: 0.4964 - val_categorical_accuracy: 0.9040 - 415ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9798 - val_loss: 0.5574 - val_categorical_accuracy: 0.8895 - 430ms/epoch - 9ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9775 - val_loss: 0.6141 - val_categorical_accuracy: 0.8800 - 350ms/epoch - 7ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9739 - val_loss: 0.4906 - val_categorical_accuracy: 0.9049 - 334ms/epoch - 7ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.1465 - categorical_accuracy: 0.9569 - val_loss: 0.8432 - val_categorical_accuracy: 0.8211 - 330ms/epoch - 7ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9665 - val_loss: 0.4862 - val_categorical_accuracy: 0.9006 - 340ms/epoch - 7ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.5083 - val_categorical_accuracy: 0.8972 - 370ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9768 - val_loss: 0.4858 - val_categorical_accuracy: 0.9061 - 470ms/epoch - 10ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5086 - val_categorical_accuracy: 0.9024 - 480ms/epoch - 10ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9796 - val_loss: 0.5238 - val_categorical_accuracy: 0.8994 - 340ms/epoch - 7ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9782 - val_loss: 0.4931 - val_categorical_accuracy: 0.9087 - 350ms/epoch - 7ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9803 - val_loss: 0.5490 - val_categorical_accuracy: 0.8944 - 330ms/epoch - 7ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9786 - val_loss: 0.5212 - val_categorical_accuracy: 0.8969 - 360ms/epoch - 7ms/step
Epoch 1136/1500
49/49 - 1s - loss: 0.0594 - categorical_accuracy: 0.9786 - val_loss: 0.5111 - val_categorical_accuracy: 0.9001 - 520ms/epoch - 11ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9799 - val_loss: 0.5095 - val_categorical_accuracy: 0.9032 - 470ms/epoch - 10ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9505 - val_loss: 0.4648 - val_categorical_accuracy: 0.9020 - 364ms/epoch - 7ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9777 - val_loss: 0.5010 - val_categorical_accuracy: 0.9001 - 470ms/epoch - 10ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9793 - val_loss: 0.4918 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.4995 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.4978 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9752 - val_loss: 0.5141 - val_categorical_accuracy: 0.9000 - 380ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9792 - val_loss: 0.5122 - val_categorical_accuracy: 0.9037 - 350ms/epoch - 7ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9714 - val_loss: 0.5033 - val_categorical_accuracy: 0.9051 - 460ms/epoch - 9ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9753 - val_loss: 0.5511 - val_categorical_accuracy: 0.8941 - 450ms/epoch - 9ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9786 - val_loss: 0.5087 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9802 - val_loss: 0.5093 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9795 - val_loss: 0.5306 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.1988 - categorical_accuracy: 0.9459 - val_loss: 0.4954 - val_categorical_accuracy: 0.8977 - 380ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9797 - val_loss: 0.4908 - val_categorical_accuracy: 0.9049 - 430ms/epoch - 9ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.4831 - val_categorical_accuracy: 0.9068 - 450ms/epoch - 9ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5282 - val_categorical_accuracy: 0.9007 - 374ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.1686 - categorical_accuracy: 0.9489 - val_loss: 0.4848 - val_categorical_accuracy: 0.9024 - 360ms/epoch - 7ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9795 - val_loss: 0.5034 - val_categorical_accuracy: 0.9020 - 370ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.4921 - val_categorical_accuracy: 0.9066 - 360ms/epoch - 7ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9801 - val_loss: 0.5115 - val_categorical_accuracy: 0.9041 - 380ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9785 - val_loss: 0.4995 - val_categorical_accuracy: 0.9059 - 424ms/epoch - 9ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9802 - val_loss: 0.5174 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9785 - val_loss: 0.5381 - val_categorical_accuracy: 0.8959 - 380ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9781 - val_loss: 0.5137 - val_categorical_accuracy: 0.9049 - 340ms/epoch - 7ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9770 - val_loss: 0.5576 - val_categorical_accuracy: 0.8902 - 340ms/epoch - 7ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9764 - val_loss: 0.5049 - val_categorical_accuracy: 0.9081 - 370ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9799 - val_loss: 0.5069 - val_categorical_accuracy: 0.9066 - 380ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9748 - val_loss: 0.5292 - val_categorical_accuracy: 0.9001 - 370ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9789 - val_loss: 0.5070 - val_categorical_accuracy: 0.9042 - 370ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9761 - val_loss: 0.5139 - val_categorical_accuracy: 0.9035 - 380ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9792 - val_loss: 0.5445 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 1s - loss: 0.0647 - categorical_accuracy: 0.9765 - val_loss: 0.5173 - val_categorical_accuracy: 0.9025 - 500ms/epoch - 10ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9729 - val_loss: 0.5369 - val_categorical_accuracy: 0.8974 - 450ms/epoch - 9ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9791 - val_loss: 0.5223 - val_categorical_accuracy: 0.9047 - 440ms/epoch - 9ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9778 - val_loss: 0.5385 - val_categorical_accuracy: 0.9036 - 440ms/epoch - 9ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.5181 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9786 - val_loss: 0.5457 - val_categorical_accuracy: 0.8999 - 364ms/epoch - 7ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.3458 - categorical_accuracy: 0.9222 - val_loss: 0.4922 - val_categorical_accuracy: 0.8668 - 360ms/epoch - 7ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9639 - val_loss: 0.4610 - val_categorical_accuracy: 0.9033 - 370ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9780 - val_loss: 0.4878 - val_categorical_accuracy: 0.9037 - 380ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9790 - val_loss: 0.4981 - val_categorical_accuracy: 0.9041 - 420ms/epoch - 9ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.5074 - val_categorical_accuracy: 0.9037 - 364ms/epoch - 7ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9778 - val_loss: 0.5157 - val_categorical_accuracy: 0.9016 - 360ms/epoch - 7ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9540 - val_loss: 0.4760 - val_categorical_accuracy: 0.8946 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9773 - val_loss: 0.4647 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9799 - val_loss: 0.4996 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9800 - val_loss: 0.5194 - val_categorical_accuracy: 0.8993 - 434ms/epoch - 9ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9802 - val_loss: 0.5163 - val_categorical_accuracy: 0.8997 - 350ms/epoch - 7ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9795 - val_loss: 0.4865 - val_categorical_accuracy: 0.9056 - 350ms/epoch - 7ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9800 - val_loss: 0.5462 - val_categorical_accuracy: 0.8955 - 360ms/epoch - 7ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9777 - val_loss: 0.5116 - val_categorical_accuracy: 0.9059 - 360ms/epoch - 7ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9793 - val_loss: 0.5706 - val_categorical_accuracy: 0.8954 - 363ms/epoch - 7ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9800 - val_loss: 0.5140 - val_categorical_accuracy: 0.9054 - 426ms/epoch - 9ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9800 - val_loss: 0.5143 - val_categorical_accuracy: 0.9059 - 360ms/epoch - 7ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9771 - val_loss: 0.5821 - val_categorical_accuracy: 0.8944 - 370ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5248 - val_categorical_accuracy: 0.9060 - 380ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.6197 - val_categorical_accuracy: 0.8811 - 360ms/epoch - 7ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.1737 - categorical_accuracy: 0.9509 - val_loss: 0.4827 - val_categorical_accuracy: 0.9047 - 434ms/epoch - 9ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9801 - val_loss: 0.5102 - val_categorical_accuracy: 0.8971 - 360ms/epoch - 7ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9796 - val_loss: 0.5169 - val_categorical_accuracy: 0.8974 - 370ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9788 - val_loss: 0.5419 - val_categorical_accuracy: 0.8985 - 370ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9797 - val_loss: 0.5189 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5184 - val_categorical_accuracy: 0.9025 - 374ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9780 - val_loss: 0.5415 - val_categorical_accuracy: 0.8993 - 440ms/epoch - 9ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.1388 - categorical_accuracy: 0.9593 - val_loss: 0.4922 - val_categorical_accuracy: 0.9044 - 370ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9790 - val_loss: 0.5068 - val_categorical_accuracy: 0.9022 - 364ms/epoch - 7ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9793 - val_loss: 0.5075 - val_categorical_accuracy: 0.9072 - 370ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.4991 - val_categorical_accuracy: 0.9103 - 364ms/epoch - 7ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9811 - val_loss: 0.5256 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.5165 - val_categorical_accuracy: 0.9074 - 460ms/epoch - 9ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.5166 - val_categorical_accuracy: 0.9060 - 470ms/epoch - 10ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9802 - val_loss: 0.5385 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9792 - val_loss: 0.5254 - val_categorical_accuracy: 0.9054 - 370ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.5219 - val_categorical_accuracy: 0.9067 - 370ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9811 - val_loss: 0.5381 - val_categorical_accuracy: 0.9039 - 370ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.5231 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9800 - val_loss: 0.5843 - val_categorical_accuracy: 0.8900 - 450ms/epoch - 9ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.1805 - categorical_accuracy: 0.9509 - val_loss: 0.5061 - val_categorical_accuracy: 0.8921 - 444ms/epoch - 9ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9758 - val_loss: 0.5536 - val_categorical_accuracy: 0.8938 - 420ms/epoch - 9ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9736 - val_loss: 0.4997 - val_categorical_accuracy: 0.9081 - 360ms/epoch - 7ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9812 - val_loss: 0.5223 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9799 - val_loss: 0.5163 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9804 - val_loss: 0.5230 - val_categorical_accuracy: 0.9044 - 364ms/epoch - 7ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.2542 - categorical_accuracy: 0.9345 - val_loss: 0.4670 - val_categorical_accuracy: 0.9005 - 356ms/epoch - 7ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9781 - val_loss: 0.4943 - val_categorical_accuracy: 0.9038 - 430ms/epoch - 9ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9801 - val_loss: 0.5117 - val_categorical_accuracy: 0.9017 - 360ms/epoch - 7ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9611 - val_loss: 0.4786 - val_categorical_accuracy: 0.9031 - 370ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9799 - val_loss: 0.4865 - val_categorical_accuracy: 0.9089 - 360ms/epoch - 7ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9809 - val_loss: 0.4871 - val_categorical_accuracy: 0.9075 - 354ms/epoch - 7ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.5024 - val_categorical_accuracy: 0.9051 - 380ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9807 - val_loss: 0.5009 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.5211 - val_categorical_accuracy: 0.9042 - 370ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9813 - val_loss: 0.5374 - val_categorical_accuracy: 0.9020 - 410ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9798 - val_loss: 0.5149 - val_categorical_accuracy: 0.9043 - 365ms/epoch - 7ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9793 - val_loss: 0.5831 - val_categorical_accuracy: 0.8919 - 360ms/epoch - 7ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9796 - val_loss: 0.5334 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9788 - val_loss: 0.5156 - val_categorical_accuracy: 0.9061 - 360ms/epoch - 7ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9807 - val_loss: 0.5238 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9789 - val_loss: 0.5390 - val_categorical_accuracy: 0.9058 - 444ms/epoch - 9ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.2354 - categorical_accuracy: 0.9435 - val_loss: 0.4587 - val_categorical_accuracy: 0.8980 - 440ms/epoch - 9ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9778 - val_loss: 0.4896 - val_categorical_accuracy: 0.9039 - 360ms/epoch - 7ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9801 - val_loss: 0.4969 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9816 - val_loss: 0.5204 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9785 - val_loss: 0.5367 - val_categorical_accuracy: 0.8959 - 380ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9786 - val_loss: 0.5361 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.1745 - categorical_accuracy: 0.9508 - val_loss: 0.4795 - val_categorical_accuracy: 0.9052 - 430ms/epoch - 9ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9800 - val_loss: 0.4966 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9806 - val_loss: 0.5314 - val_categorical_accuracy: 0.9004 - 380ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9804 - val_loss: 0.5359 - val_categorical_accuracy: 0.8990 - 374ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9797 - val_loss: 0.5099 - val_categorical_accuracy: 0.9058 - 376ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5341 - val_categorical_accuracy: 0.9013 - 430ms/epoch - 9ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9767 - val_loss: 0.5256 - val_categorical_accuracy: 0.9029 - 370ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0944 - categorical_accuracy: 0.9708 - val_loss: 1.8199 - val_categorical_accuracy: 0.7580 - 370ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9553 - val_loss: 0.4816 - val_categorical_accuracy: 0.9036 - 370ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9797 - val_loss: 0.4971 - val_categorical_accuracy: 0.9044 - 364ms/epoch - 7ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9812 - val_loss: 0.5026 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9811 - val_loss: 0.5091 - val_categorical_accuracy: 0.9040 - 450ms/epoch - 9ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.5358 - val_categorical_accuracy: 0.9025 - 440ms/epoch - 9ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9814 - val_loss: 0.5189 - val_categorical_accuracy: 0.9018 - 434ms/epoch - 9ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5606 - val_categorical_accuracy: 0.8957 - 356ms/epoch - 7ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9789 - val_loss: 0.5340 - val_categorical_accuracy: 0.9026 - 345ms/epoch - 7ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9804 - val_loss: 0.5294 - val_categorical_accuracy: 0.9044 - 350ms/epoch - 7ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9785 - val_loss: 0.6984 - val_categorical_accuracy: 0.8713 - 340ms/epoch - 7ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.1975 - categorical_accuracy: 0.9464 - val_loss: 0.4952 - val_categorical_accuracy: 0.9008 - 337ms/epoch - 7ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9806 - val_loss: 0.4983 - val_categorical_accuracy: 0.9054 - 420ms/epoch - 9ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9815 - val_loss: 0.5211 - val_categorical_accuracy: 0.8982 - 436ms/epoch - 9ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5383 - val_categorical_accuracy: 0.9021 - 364ms/epoch - 7ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9799 - val_loss: 0.5307 - val_categorical_accuracy: 0.9003 - 366ms/epoch - 7ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9804 - val_loss: 0.5065 - val_categorical_accuracy: 0.9059 - 360ms/epoch - 7ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.5404 - val_categorical_accuracy: 0.9019 - 360ms/epoch - 7ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9766 - val_loss: 0.5796 - val_categorical_accuracy: 0.8882 - 380ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9550 - val_loss: 0.5273 - val_categorical_accuracy: 0.8966 - 370ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9799 - val_loss: 0.5250 - val_categorical_accuracy: 0.9000 - 370ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5109 - val_categorical_accuracy: 0.9038 - 370ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9800 - val_loss: 0.5320 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9732 - val_loss: 0.5581 - val_categorical_accuracy: 0.8983 - 374ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9794 - val_loss: 0.5261 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9810 - val_loss: 0.5618 - val_categorical_accuracy: 0.8952 - 380ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9797 - val_loss: 0.5243 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9803 - val_loss: 0.5614 - val_categorical_accuracy: 0.8937 - 380ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9775 - val_loss: 0.5363 - val_categorical_accuracy: 0.9023 - 384ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9803 - val_loss: 0.5556 - val_categorical_accuracy: 0.8985 - 380ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9804 - val_loss: 0.5357 - val_categorical_accuracy: 0.9019 - 380ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9807 - val_loss: 0.5359 - val_categorical_accuracy: 0.9036 - 380ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9781 - val_loss: 0.5176 - val_categorical_accuracy: 0.9080 - 420ms/epoch - 9ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5346 - val_categorical_accuracy: 0.9052 - 370ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9770 - val_loss: 0.5522 - val_categorical_accuracy: 0.9020 - 460ms/epoch - 9ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.2008 - categorical_accuracy: 0.9487 - val_loss: 0.4697 - val_categorical_accuracy: 0.8979 - 420ms/epoch - 9ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9766 - val_loss: 0.5151 - val_categorical_accuracy: 0.9024 - 370ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9804 - val_loss: 0.5199 - val_categorical_accuracy: 0.9053 - 330ms/epoch - 7ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9810 - val_loss: 0.5182 - val_categorical_accuracy: 0.9060 - 360ms/epoch - 7ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.5295 - val_categorical_accuracy: 0.9055 - 360ms/epoch - 7ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9813 - val_loss: 0.5444 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9756 - val_loss: 0.5449 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5722 - val_categorical_accuracy: 0.8956 - 370ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9793 - val_loss: 0.5745 - val_categorical_accuracy: 0.8984 - 384ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.5294 - val_categorical_accuracy: 0.9060 - 386ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9804 - val_loss: 0.5248 - val_categorical_accuracy: 0.9067 - 380ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9815 - val_loss: 0.5743 - val_categorical_accuracy: 0.8964 - 380ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9798 - val_loss: 0.5449 - val_categorical_accuracy: 0.9019 - 380ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.2554 - categorical_accuracy: 0.9377 - val_loss: 0.4910 - val_categorical_accuracy: 0.9007 - 474ms/epoch - 10ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9781 - val_loss: 0.5307 - val_categorical_accuracy: 0.8973 - 386ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9803 - val_loss: 0.5132 - val_categorical_accuracy: 0.9044 - 440ms/epoch - 9ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.5211 - val_categorical_accuracy: 0.9064 - 330ms/epoch - 7ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9797 - val_loss: 0.6390 - val_categorical_accuracy: 0.8795 - 330ms/epoch - 7ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.5379 - val_categorical_accuracy: 0.9013 - 330ms/epoch - 7ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9812 - val_loss: 0.5279 - val_categorical_accuracy: 0.9044 - 324ms/epoch - 7ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9809 - val_loss: 0.5729 - val_categorical_accuracy: 0.8998 - 330ms/epoch - 7ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9684 - val_loss: 3.1365 - val_categorical_accuracy: 0.5776 - 370ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.2077 - categorical_accuracy: 0.9450 - val_loss: 0.4840 - val_categorical_accuracy: 0.9030 - 370ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9794 - val_loss: 0.4944 - val_categorical_accuracy: 0.9068 - 380ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9811 - val_loss: 0.5275 - val_categorical_accuracy: 0.9017 - 370ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9809 - val_loss: 0.5017 - val_categorical_accuracy: 0.9085 - 384ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9814 - val_loss: 0.5155 - val_categorical_accuracy: 0.9071 - 380ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9814 - val_loss: 0.5374 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9817 - val_loss: 0.5459 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9810 - val_loss: 0.5464 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9803 - val_loss: 0.5643 - val_categorical_accuracy: 0.8972 - 394ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9806 - val_loss: 0.5643 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9807 - val_loss: 0.6439 - val_categorical_accuracy: 0.8884 - 430ms/epoch - 9ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9541 - val_loss: 0.5001 - val_categorical_accuracy: 0.9077 - 404ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9798 - val_loss: 0.5230 - val_categorical_accuracy: 0.9024 - 346ms/epoch - 7ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9814 - val_loss: 0.5292 - val_categorical_accuracy: 0.9026 - 375ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9791 - val_loss: 0.5142 - val_categorical_accuracy: 0.9076 - 330ms/epoch - 7ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9815 - val_loss: 0.5396 - val_categorical_accuracy: 0.9052 - 310ms/epoch - 6ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9760 - val_loss: 0.5246 - val_categorical_accuracy: 0.9057 - 310ms/epoch - 6ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9816 - val_loss: 0.5252 - val_categorical_accuracy: 0.9067 - 320ms/epoch - 7ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9814 - val_loss: 0.5396 - val_categorical_accuracy: 0.9065 - 310ms/epoch - 6ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9780 - val_loss: 0.6381 - val_categorical_accuracy: 0.8868 - 314ms/epoch - 6ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.1933 - categorical_accuracy: 0.9503 - val_loss: 0.5264 - val_categorical_accuracy: 0.8966 - 310ms/epoch - 6ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9805 - val_loss: 0.5112 - val_categorical_accuracy: 0.9030 - 310ms/epoch - 6ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5167 - val_categorical_accuracy: 0.9009 - 310ms/epoch - 6ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9816 - val_loss: 0.5221 - val_categorical_accuracy: 0.9048 - 360ms/epoch - 7ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9813 - val_loss: 0.5310 - val_categorical_accuracy: 0.9039 - 370ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9773 - val_loss: 0.5557 - val_categorical_accuracy: 0.8948 - 374ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9784 - val_loss: 0.5415 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9820 - val_loss: 0.5430 - val_categorical_accuracy: 0.9031 - 370ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9804 - val_loss: 0.5411 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.5465 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5574 - val_categorical_accuracy: 0.9013 - 474ms/epoch - 10ms/step
Epoch 1338/1500
49/49 - 1s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5496 - val_categorical_accuracy: 0.9048 - 530ms/epoch - 11ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9809 - val_loss: 0.5392 - val_categorical_accuracy: 0.9055 - 320ms/epoch - 7ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.1800 - categorical_accuracy: 0.9528 - val_loss: 0.5140 - val_categorical_accuracy: 0.9004 - 320ms/epoch - 7ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9798 - val_loss: 0.5420 - val_categorical_accuracy: 0.9007 - 320ms/epoch - 7ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.5128 - val_categorical_accuracy: 0.9081 - 320ms/epoch - 7ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9822 - val_loss: 0.5362 - val_categorical_accuracy: 0.9024 - 314ms/epoch - 6ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9797 - val_loss: 0.5257 - val_categorical_accuracy: 0.9076 - 360ms/epoch - 7ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9814 - val_loss: 0.5298 - val_categorical_accuracy: 0.9072 - 360ms/epoch - 7ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5503 - val_categorical_accuracy: 0.8991 - 370ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9808 - val_loss: 0.5419 - val_categorical_accuracy: 0.9036 - 380ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9789 - val_loss: 0.5545 - val_categorical_accuracy: 0.9030 - 380ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9807 - val_loss: 0.5475 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5465 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 1s - loss: 0.1516 - categorical_accuracy: 0.9581 - val_loss: 0.5523 - val_categorical_accuracy: 0.8841 - 500ms/epoch - 10ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9764 - val_loss: 0.5308 - val_categorical_accuracy: 0.9021 - 460ms/epoch - 9ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9812 - val_loss: 0.5477 - val_categorical_accuracy: 0.8980 - 379ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9816 - val_loss: 0.5404 - val_categorical_accuracy: 0.9012 - 370ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9820 - val_loss: 0.5402 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9816 - val_loss: 0.5711 - val_categorical_accuracy: 0.9004 - 360ms/epoch - 7ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9814 - val_loss: 0.5466 - val_categorical_accuracy: 0.9035 - 370ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.5452 - val_categorical_accuracy: 0.9071 - 370ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9798 - val_loss: 0.5559 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9815 - val_loss: 0.5684 - val_categorical_accuracy: 0.8975 - 380ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9805 - val_loss: 0.5611 - val_categorical_accuracy: 0.9051 - 385ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9804 - val_loss: 0.5563 - val_categorical_accuracy: 0.9055 - 380ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9769 - val_loss: 0.5652 - val_categorical_accuracy: 0.9033 - 384ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9817 - val_loss: 0.5453 - val_categorical_accuracy: 0.9066 - 386ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9814 - val_loss: 0.5972 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9793 - val_loss: 0.5931 - val_categorical_accuracy: 0.8973 - 400ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9785 - val_loss: 0.5516 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9746 - val_loss: 0.5827 - val_categorical_accuracy: 0.8987 - 380ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9785 - val_loss: 1.2988 - val_categorical_accuracy: 0.7900 - 384ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.2194 - categorical_accuracy: 0.9455 - val_loss: 0.5659 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5412 - val_categorical_accuracy: 0.9076 - 380ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9807 - val_loss: 0.5226 - val_categorical_accuracy: 0.9079 - 430ms/epoch - 9ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9820 - val_loss: 0.5314 - val_categorical_accuracy: 0.9089 - 474ms/epoch - 10ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9822 - val_loss: 0.6039 - val_categorical_accuracy: 0.8906 - 380ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9816 - val_loss: 0.6207 - val_categorical_accuracy: 0.8835 - 370ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9769 - val_loss: 0.5468 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0473 - categorical_accuracy: 0.9828 - val_loss: 0.5529 - val_categorical_accuracy: 0.9030 - 370ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 1s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5473 - val_categorical_accuracy: 0.9064 - 504ms/epoch - 10ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0484 - categorical_accuracy: 0.9821 - val_loss: 0.5655 - val_categorical_accuracy: 0.9019 - 316ms/epoch - 6ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9797 - val_loss: 0.6887 - val_categorical_accuracy: 0.8787 - 310ms/epoch - 6ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.2627 - categorical_accuracy: 0.9384 - val_loss: 0.5030 - val_categorical_accuracy: 0.9036 - 320ms/epoch - 7ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9806 - val_loss: 0.5233 - val_categorical_accuracy: 0.9057 - 310ms/epoch - 6ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9810 - val_loss: 0.5227 - val_categorical_accuracy: 0.9068 - 320ms/epoch - 7ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9818 - val_loss: 0.5459 - val_categorical_accuracy: 0.9021 - 330ms/epoch - 7ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9822 - val_loss: 0.5468 - val_categorical_accuracy: 0.9053 - 344ms/epoch - 7ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5386 - val_categorical_accuracy: 0.9060 - 360ms/epoch - 7ms/step
Epoch 1387/1500
49/49 - 1s - loss: 0.0581 - categorical_accuracy: 0.9788 - val_loss: 0.5335 - val_categorical_accuracy: 0.9082 - 560ms/epoch - 11ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0484 - categorical_accuracy: 0.9822 - val_loss: 0.5526 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9808 - val_loss: 0.5582 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9818 - val_loss: 0.5701 - val_categorical_accuracy: 0.9020 - 382ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9823 - val_loss: 0.5713 - val_categorical_accuracy: 0.9051 - 460ms/epoch - 9ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9757 - val_loss: 0.5632 - val_categorical_accuracy: 0.8998 - 470ms/epoch - 10ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9809 - val_loss: 0.5719 - val_categorical_accuracy: 0.9000 - 460ms/epoch - 9ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9814 - val_loss: 0.5545 - val_categorical_accuracy: 0.9042 - 380ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9797 - val_loss: 0.5635 - val_categorical_accuracy: 0.9050 - 380ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9816 - val_loss: 0.5680 - val_categorical_accuracy: 0.9037 - 370ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9807 - val_loss: 0.5525 - val_categorical_accuracy: 0.9080 - 370ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9816 - val_loss: 0.5819 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9803 - val_loss: 0.5772 - val_categorical_accuracy: 0.9038 - 454ms/epoch - 9ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9778 - val_loss: 0.6162 - val_categorical_accuracy: 0.8908 - 440ms/epoch - 9ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.2851 - categorical_accuracy: 0.9303 - val_loss: 0.5009 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9802 - val_loss: 0.5253 - val_categorical_accuracy: 0.9031 - 370ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9824 - val_loss: 0.5220 - val_categorical_accuracy: 0.9080 - 380ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9821 - val_loss: 0.6147 - val_categorical_accuracy: 0.8833 - 364ms/epoch - 7ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.1988 - categorical_accuracy: 0.9490 - val_loss: 0.5008 - val_categorical_accuracy: 0.9040 - 386ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9816 - val_loss: 0.5437 - val_categorical_accuracy: 0.8972 - 420ms/epoch - 9ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9814 - val_loss: 0.5146 - val_categorical_accuracy: 0.9071 - 370ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9784 - val_loss: 0.5471 - val_categorical_accuracy: 0.9000 - 370ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9806 - val_loss: 0.5334 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9818 - val_loss: 0.5575 - val_categorical_accuracy: 0.8982 - 370ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9820 - val_loss: 0.5701 - val_categorical_accuracy: 0.8973 - 410ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.5489 - val_categorical_accuracy: 0.9026 - 430ms/epoch - 9ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0481 - categorical_accuracy: 0.9823 - val_loss: 0.5533 - val_categorical_accuracy: 0.9063 - 360ms/epoch - 7ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9811 - val_loss: 0.6427 - val_categorical_accuracy: 0.8836 - 370ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.1458 - categorical_accuracy: 0.9579 - val_loss: 0.5232 - val_categorical_accuracy: 0.9065 - 370ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9819 - val_loss: 0.5304 - val_categorical_accuracy: 0.9089 - 360ms/epoch - 7ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9805 - val_loss: 0.5410 - val_categorical_accuracy: 0.9054 - 370ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9823 - val_loss: 0.5412 - val_categorical_accuracy: 0.9077 - 430ms/epoch - 9ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5336 - val_categorical_accuracy: 0.9090 - 360ms/epoch - 7ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9802 - val_loss: 0.5972 - val_categorical_accuracy: 0.8906 - 360ms/epoch - 7ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.1510 - categorical_accuracy: 0.9608 - val_loss: 0.5198 - val_categorical_accuracy: 0.9081 - 370ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9795 - val_loss: 0.5352 - val_categorical_accuracy: 0.9032 - 360ms/epoch - 7ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.5398 - val_categorical_accuracy: 0.9031 - 410ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9811 - val_loss: 0.5295 - val_categorical_accuracy: 0.9046 - 460ms/epoch - 9ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9803 - val_loss: 0.6084 - val_categorical_accuracy: 0.8901 - 424ms/epoch - 9ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9806 - val_loss: 0.5544 - val_categorical_accuracy: 0.8987 - 350ms/epoch - 7ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.6126 - val_categorical_accuracy: 0.8930 - 360ms/epoch - 7ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9763 - val_loss: 0.5509 - val_categorical_accuracy: 0.9047 - 350ms/epoch - 7ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9807 - val_loss: 0.5639 - val_categorical_accuracy: 0.9041 - 360ms/epoch - 7ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9817 - val_loss: 0.5380 - val_categorical_accuracy: 0.9093 - 360ms/epoch - 7ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0482 - categorical_accuracy: 0.9820 - val_loss: 0.5489 - val_categorical_accuracy: 0.9047 - 425ms/epoch - 9ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9814 - val_loss: 0.5603 - val_categorical_accuracy: 0.8994 - 350ms/epoch - 7ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9813 - val_loss: 0.6195 - val_categorical_accuracy: 0.8889 - 370ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.3325 - categorical_accuracy: 0.9209 - val_loss: 0.4788 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9805 - val_loss: 0.5051 - val_categorical_accuracy: 0.9032 - 350ms/epoch - 7ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9821 - val_loss: 0.5265 - val_categorical_accuracy: 0.9051 - 364ms/epoch - 7ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0481 - categorical_accuracy: 0.9830 - val_loss: 0.5204 - val_categorical_accuracy: 0.9077 - 420ms/epoch - 9ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9823 - val_loss: 0.5343 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9814 - val_loss: 0.5434 - val_categorical_accuracy: 0.9054 - 364ms/epoch - 7ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0479 - categorical_accuracy: 0.9826 - val_loss: 0.5421 - val_categorical_accuracy: 0.9057 - 360ms/epoch - 7ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0483 - categorical_accuracy: 0.9823 - val_loss: 0.5300 - val_categorical_accuracy: 0.9093 - 364ms/epoch - 7ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0476 - categorical_accuracy: 0.9827 - val_loss: 0.5466 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9823 - val_loss: 0.5422 - val_categorical_accuracy: 0.9055 - 440ms/epoch - 9ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0479 - categorical_accuracy: 0.9825 - val_loss: 0.5668 - val_categorical_accuracy: 0.9051 - 430ms/epoch - 9ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0477 - categorical_accuracy: 0.9822 - val_loss: 0.5476 - val_categorical_accuracy: 0.9087 - 430ms/epoch - 9ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9810 - val_loss: 0.5721 - val_categorical_accuracy: 0.9011 - 374ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9810 - val_loss: 0.5717 - val_categorical_accuracy: 0.9045 - 370ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0482 - categorical_accuracy: 0.9818 - val_loss: 0.6191 - val_categorical_accuracy: 0.8947 - 370ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9800 - val_loss: 0.5791 - val_categorical_accuracy: 0.9004 - 370ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9813 - val_loss: 0.5737 - val_categorical_accuracy: 0.9001 - 380ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9815 - val_loss: 0.5600 - val_categorical_accuracy: 0.9075 - 424ms/epoch - 9ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9786 - val_loss: 0.5754 - val_categorical_accuracy: 0.9003 - 360ms/epoch - 7ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9819 - val_loss: 0.5860 - val_categorical_accuracy: 0.9023 - 350ms/epoch - 7ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9813 - val_loss: 0.5809 - val_categorical_accuracy: 0.9018 - 370ms/epoch - 8ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9812 - val_loss: 0.5897 - val_categorical_accuracy: 0.9008 - 340ms/epoch - 7ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9798 - val_loss: 0.6677 - val_categorical_accuracy: 0.8794 - 340ms/epoch - 7ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.1590 - categorical_accuracy: 0.9548 - val_loss: 0.6067 - val_categorical_accuracy: 0.8868 - 450ms/epoch - 9ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9810 - val_loss: 0.5498 - val_categorical_accuracy: 0.9043 - 440ms/epoch - 9ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0474 - categorical_accuracy: 0.9829 - val_loss: 0.5480 - val_categorical_accuracy: 0.9039 - 430ms/epoch - 9ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.5664 - val_categorical_accuracy: 0.9030 - 430ms/epoch - 9ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9813 - val_loss: 0.5588 - val_categorical_accuracy: 0.9037 - 370ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0472 - categorical_accuracy: 0.9828 - val_loss: 0.6342 - val_categorical_accuracy: 0.8886 - 364ms/epoch - 7ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.2040 - categorical_accuracy: 0.9501 - val_loss: 0.5359 - val_categorical_accuracy: 0.9026 - 370ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0495 - categorical_accuracy: 0.9821 - val_loss: 0.5441 - val_categorical_accuracy: 0.9017 - 370ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9823 - val_loss: 0.5340 - val_categorical_accuracy: 0.9060 - 370ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0473 - categorical_accuracy: 0.9824 - val_loss: 0.5695 - val_categorical_accuracy: 0.9020 - 430ms/epoch - 9ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9814 - val_loss: 0.5483 - val_categorical_accuracy: 0.9050 - 361ms/epoch - 7ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9821 - val_loss: 0.5609 - val_categorical_accuracy: 0.9063 - 348ms/epoch - 7ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9822 - val_loss: 0.5986 - val_categorical_accuracy: 0.8947 - 360ms/epoch - 7ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5643 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9790 - val_loss: 0.5469 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0478 - categorical_accuracy: 0.9823 - val_loss: 0.5861 - val_categorical_accuracy: 0.9027 - 444ms/epoch - 9ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9814 - val_loss: 0.5684 - val_categorical_accuracy: 0.9048 - 430ms/epoch - 9ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0484 - categorical_accuracy: 0.9825 - val_loss: 0.5697 - val_categorical_accuracy: 0.9035 - 420ms/epoch - 9ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0470 - categorical_accuracy: 0.9827 - val_loss: 0.5633 - val_categorical_accuracy: 0.9073 - 430ms/epoch - 9ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.5643 - val_categorical_accuracy: 0.9073 - 370ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9775 - val_loss: 0.5771 - val_categorical_accuracy: 0.9030 - 370ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5889 - val_categorical_accuracy: 0.9026 - 370ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9817 - val_loss: 0.5691 - val_categorical_accuracy: 0.9043 - 360ms/epoch - 7ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9794 - val_loss: 0.5699 - val_categorical_accuracy: 0.9060 - 370ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0484 - categorical_accuracy: 0.9823 - val_loss: 0.5749 - val_categorical_accuracy: 0.9059 - 420ms/epoch - 9ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9798 - val_loss: 0.5679 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9807 - val_loss: 0.5830 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9816 - val_loss: 0.5891 - val_categorical_accuracy: 0.9020 - 370ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9773 - val_loss: 0.6351 - val_categorical_accuracy: 0.8927 - 370ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.3545 - categorical_accuracy: 0.9179 - val_loss: 0.4925 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9795 - val_loss: 0.5273 - val_categorical_accuracy: 0.9024 - 440ms/epoch - 9ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9824 - val_loss: 0.5271 - val_categorical_accuracy: 0.9055 - 420ms/epoch - 9ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0481 - categorical_accuracy: 0.9827 - val_loss: 0.5459 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0478 - categorical_accuracy: 0.9827 - val_loss: 0.5551 - val_categorical_accuracy: 0.9033 - 360ms/epoch - 7ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0482 - categorical_accuracy: 0.9819 - val_loss: 0.5406 - val_categorical_accuracy: 0.9070 - 360ms/epoch - 7ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9817 - val_loss: 0.5486 - val_categorical_accuracy: 0.9056 - 360ms/epoch - 7ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0483 - categorical_accuracy: 0.9825 - val_loss: 0.5702 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9821 - val_loss: 0.5800 - val_categorical_accuracy: 0.8996 - 420ms/epoch - 9ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9819 - val_loss: 0.5672 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9819 - val_loss: 0.5634 - val_categorical_accuracy: 0.9066 - 360ms/epoch - 7ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0480 - categorical_accuracy: 0.9820 - val_loss: 0.5662 - val_categorical_accuracy: 0.9080 - 360ms/epoch - 7ms/step
Epoch 1498/1500
49/49 - 1s - loss: 0.0541 - categorical_accuracy: 0.9800 - val_loss: 0.7742 - val_categorical_accuracy: 0.8652 - 530ms/epoch - 11ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.2823 - categorical_accuracy: 0.9327 - val_loss: 0.4965 - val_categorical_accuracy: 0.9034 - 460ms/epoch - 9ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9814 - val_loss: 0.5462 - val_categorical_accuracy: 0.8995 - 440ms/epoch - 9ms/step
processing fold # 2 
Epoch 1/1500
49/49 - 1s - loss: 1.9129 - categorical_accuracy: 0.3502 - val_loss: 1.8681 - val_categorical_accuracy: 0.3621 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8482 - categorical_accuracy: 0.3638 - val_loss: 1.8328 - val_categorical_accuracy: 0.3621 - 360ms/epoch - 7ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.7971 - categorical_accuracy: 0.3785 - val_loss: 1.7572 - val_categorical_accuracy: 0.4036 - 360ms/epoch - 7ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7367 - categorical_accuracy: 0.3988 - val_loss: 1.7016 - val_categorical_accuracy: 0.3976 - 350ms/epoch - 7ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6712 - categorical_accuracy: 0.4190 - val_loss: 1.5784 - val_categorical_accuracy: 0.4644 - 450ms/epoch - 9ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.5850 - categorical_accuracy: 0.4522 - val_loss: 1.5448 - val_categorical_accuracy: 0.4625 - 360ms/epoch - 7ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5164 - categorical_accuracy: 0.4735 - val_loss: 1.5030 - val_categorical_accuracy: 0.4849 - 360ms/epoch - 7ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4616 - categorical_accuracy: 0.4914 - val_loss: 1.4608 - val_categorical_accuracy: 0.4814 - 410ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.4006 - categorical_accuracy: 0.5135 - val_loss: 1.5195 - val_categorical_accuracy: 0.4466 - 410ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3635 - categorical_accuracy: 0.5236 - val_loss: 1.2921 - val_categorical_accuracy: 0.5488 - 400ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3027 - categorical_accuracy: 0.5434 - val_loss: 1.2667 - val_categorical_accuracy: 0.5545 - 374ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2860 - categorical_accuracy: 0.5469 - val_loss: 1.2259 - val_categorical_accuracy: 0.5623 - 370ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2221 - categorical_accuracy: 0.5665 - val_loss: 1.2912 - val_categorical_accuracy: 0.5123 - 394ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2247 - categorical_accuracy: 0.5626 - val_loss: 1.1962 - val_categorical_accuracy: 0.5661 - 420ms/epoch - 9ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1949 - categorical_accuracy: 0.5730 - val_loss: 1.2407 - val_categorical_accuracy: 0.5379 - 370ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1431 - categorical_accuracy: 0.5890 - val_loss: 1.3492 - val_categorical_accuracy: 0.5193 - 460ms/epoch - 9ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1576 - categorical_accuracy: 0.5852 - val_loss: 1.1342 - val_categorical_accuracy: 0.5869 - 350ms/epoch - 7ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1272 - categorical_accuracy: 0.5944 - val_loss: 1.1162 - val_categorical_accuracy: 0.5852 - 340ms/epoch - 7ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0879 - categorical_accuracy: 0.6119 - val_loss: 1.2284 - val_categorical_accuracy: 0.5399 - 400ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0852 - categorical_accuracy: 0.6123 - val_loss: 1.0523 - val_categorical_accuracy: 0.6230 - 330ms/epoch - 7ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0813 - categorical_accuracy: 0.6131 - val_loss: 1.0000 - val_categorical_accuracy: 0.6312 - 330ms/epoch - 7ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0387 - categorical_accuracy: 0.6279 - val_loss: 0.9660 - val_categorical_accuracy: 0.6516 - 370ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 1.0261 - categorical_accuracy: 0.6308 - val_loss: 1.1807 - val_categorical_accuracy: 0.5561 - 370ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9865 - categorical_accuracy: 0.6404 - val_loss: 1.0706 - val_categorical_accuracy: 0.5904 - 370ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9669 - categorical_accuracy: 0.6492 - val_loss: 1.0014 - val_categorical_accuracy: 0.6242 - 380ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9987 - categorical_accuracy: 0.6412 - val_loss: 0.9067 - val_categorical_accuracy: 0.6706 - 380ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9217 - categorical_accuracy: 0.6634 - val_loss: 0.8875 - val_categorical_accuracy: 0.6817 - 374ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9118 - categorical_accuracy: 0.6680 - val_loss: 0.9369 - val_categorical_accuracy: 0.6579 - 370ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9386 - categorical_accuracy: 0.6599 - val_loss: 0.8769 - val_categorical_accuracy: 0.6714 - 376ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.8875 - categorical_accuracy: 0.6746 - val_loss: 0.9502 - val_categorical_accuracy: 0.6526 - 420ms/epoch - 9ms/step
Epoch 31/1500
49/49 - 1s - loss: 1.0550 - categorical_accuracy: 0.6307 - val_loss: 0.8565 - val_categorical_accuracy: 0.6869 - 540ms/epoch - 11ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8572 - categorical_accuracy: 0.6849 - val_loss: 0.8851 - val_categorical_accuracy: 0.6767 - 330ms/epoch - 7ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8516 - categorical_accuracy: 0.6869 - val_loss: 0.8224 - val_categorical_accuracy: 0.6945 - 320ms/epoch - 7ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8343 - categorical_accuracy: 0.6920 - val_loss: 0.7894 - val_categorical_accuracy: 0.7103 - 320ms/epoch - 7ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8131 - categorical_accuracy: 0.6983 - val_loss: 0.8176 - val_categorical_accuracy: 0.7002 - 360ms/epoch - 7ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.8212 - categorical_accuracy: 0.6958 - val_loss: 0.7771 - val_categorical_accuracy: 0.7027 - 340ms/epoch - 7ms/step
Epoch 37/1500
49/49 - 0s - loss: 1.0264 - categorical_accuracy: 0.6467 - val_loss: 0.8152 - val_categorical_accuracy: 0.6977 - 410ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7789 - categorical_accuracy: 0.7111 - val_loss: 0.8300 - val_categorical_accuracy: 0.6974 - 330ms/epoch - 7ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.8201 - categorical_accuracy: 0.6984 - val_loss: 0.7498 - val_categorical_accuracy: 0.7204 - 330ms/epoch - 7ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7699 - categorical_accuracy: 0.7139 - val_loss: 0.8311 - val_categorical_accuracy: 0.6887 - 330ms/epoch - 7ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7716 - categorical_accuracy: 0.7125 - val_loss: 0.7276 - val_categorical_accuracy: 0.7299 - 330ms/epoch - 7ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7600 - categorical_accuracy: 0.7193 - val_loss: 0.7623 - val_categorical_accuracy: 0.7104 - 330ms/epoch - 7ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7535 - categorical_accuracy: 0.7206 - val_loss: 0.7665 - val_categorical_accuracy: 0.7152 - 364ms/epoch - 7ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7315 - categorical_accuracy: 0.7255 - val_loss: 0.8692 - val_categorical_accuracy: 0.6725 - 370ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7391 - categorical_accuracy: 0.7262 - val_loss: 0.7036 - val_categorical_accuracy: 0.7394 - 380ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7160 - categorical_accuracy: 0.7331 - val_loss: 0.7511 - val_categorical_accuracy: 0.7181 - 370ms/epoch - 8ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.8669 - categorical_accuracy: 0.6967 - val_loss: 0.7410 - val_categorical_accuracy: 0.7152 - 380ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7124 - categorical_accuracy: 0.7336 - val_loss: 0.7149 - val_categorical_accuracy: 0.7321 - 384ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.6948 - categorical_accuracy: 0.7410 - val_loss: 0.6721 - val_categorical_accuracy: 0.7501 - 386ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7127 - categorical_accuracy: 0.7357 - val_loss: 0.7335 - val_categorical_accuracy: 0.7238 - 390ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6727 - categorical_accuracy: 0.7473 - val_loss: 0.9843 - val_categorical_accuracy: 0.6160 - 390ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.7796 - categorical_accuracy: 0.7163 - val_loss: 0.7563 - val_categorical_accuracy: 0.7235 - 390ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6556 - categorical_accuracy: 0.7585 - val_loss: 0.6457 - val_categorical_accuracy: 0.7583 - 490ms/epoch - 10ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6717 - categorical_accuracy: 0.7496 - val_loss: 0.6985 - val_categorical_accuracy: 0.7355 - 480ms/epoch - 10ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6499 - categorical_accuracy: 0.7571 - val_loss: 0.7220 - val_categorical_accuracy: 0.7301 - 340ms/epoch - 7ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6882 - categorical_accuracy: 0.7456 - val_loss: 0.6976 - val_categorical_accuracy: 0.7350 - 370ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6507 - categorical_accuracy: 0.7546 - val_loss: 0.7225 - val_categorical_accuracy: 0.7210 - 350ms/epoch - 7ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6357 - categorical_accuracy: 0.7603 - val_loss: 0.6214 - val_categorical_accuracy: 0.7700 - 384ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.8115 - categorical_accuracy: 0.7120 - val_loss: 0.6586 - val_categorical_accuracy: 0.7607 - 326ms/epoch - 7ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6149 - categorical_accuracy: 0.7701 - val_loss: 0.6302 - val_categorical_accuracy: 0.7649 - 380ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6152 - categorical_accuracy: 0.7700 - val_loss: 0.6656 - val_categorical_accuracy: 0.7450 - 360ms/epoch - 7ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6219 - categorical_accuracy: 0.7659 - val_loss: 0.6640 - val_categorical_accuracy: 0.7570 - 360ms/epoch - 7ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6551 - categorical_accuracy: 0.7592 - val_loss: 0.6103 - val_categorical_accuracy: 0.7708 - 370ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.5984 - categorical_accuracy: 0.7751 - val_loss: 0.6144 - val_categorical_accuracy: 0.7624 - 374ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6128 - categorical_accuracy: 0.7705 - val_loss: 0.5820 - val_categorical_accuracy: 0.7791 - 420ms/epoch - 9ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6183 - categorical_accuracy: 0.7697 - val_loss: 0.7000 - val_categorical_accuracy: 0.7398 - 360ms/epoch - 7ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.5954 - categorical_accuracy: 0.7769 - val_loss: 0.6098 - val_categorical_accuracy: 0.7696 - 430ms/epoch - 9ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.6044 - categorical_accuracy: 0.7745 - val_loss: 0.5970 - val_categorical_accuracy: 0.7758 - 440ms/epoch - 9ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.5727 - categorical_accuracy: 0.7862 - val_loss: 0.5951 - val_categorical_accuracy: 0.7763 - 340ms/epoch - 7ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5836 - categorical_accuracy: 0.7792 - val_loss: 0.6223 - val_categorical_accuracy: 0.7617 - 310ms/epoch - 6ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.6108 - categorical_accuracy: 0.7720 - val_loss: 0.6401 - val_categorical_accuracy: 0.7574 - 310ms/epoch - 6ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5694 - categorical_accuracy: 0.7855 - val_loss: 0.5872 - val_categorical_accuracy: 0.7806 - 310ms/epoch - 6ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5698 - categorical_accuracy: 0.7863 - val_loss: 0.6305 - val_categorical_accuracy: 0.7643 - 320ms/epoch - 7ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5738 - categorical_accuracy: 0.7836 - val_loss: 0.5620 - val_categorical_accuracy: 0.7865 - 337ms/epoch - 7ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.6977 - categorical_accuracy: 0.7546 - val_loss: 0.5677 - val_categorical_accuracy: 0.7861 - 350ms/epoch - 7ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5494 - categorical_accuracy: 0.7936 - val_loss: 0.9226 - val_categorical_accuracy: 0.7136 - 370ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5451 - categorical_accuracy: 0.7973 - val_loss: 0.5895 - val_categorical_accuracy: 0.7766 - 370ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.6012 - categorical_accuracy: 0.7789 - val_loss: 0.5637 - val_categorical_accuracy: 0.7882 - 369ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5354 - categorical_accuracy: 0.7992 - val_loss: 0.7070 - val_categorical_accuracy: 0.7349 - 470ms/epoch - 10ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5433 - categorical_accuracy: 0.7963 - val_loss: 0.5653 - val_categorical_accuracy: 0.7854 - 492ms/epoch - 10ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5427 - categorical_accuracy: 0.7958 - val_loss: 0.5847 - val_categorical_accuracy: 0.7786 - 377ms/epoch - 8ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.6513 - categorical_accuracy: 0.7683 - val_loss: 1.9736 - val_categorical_accuracy: 0.3687 - 380ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5897 - categorical_accuracy: 0.7859 - val_loss: 0.5893 - val_categorical_accuracy: 0.7840 - 350ms/epoch - 7ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5255 - categorical_accuracy: 0.8040 - val_loss: 0.6285 - val_categorical_accuracy: 0.7683 - 320ms/epoch - 7ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5309 - categorical_accuracy: 0.7995 - val_loss: 0.5597 - val_categorical_accuracy: 0.7883 - 320ms/epoch - 7ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5239 - categorical_accuracy: 0.8026 - val_loss: 0.6484 - val_categorical_accuracy: 0.7489 - 314ms/epoch - 6ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5103 - categorical_accuracy: 0.8081 - val_loss: 0.5474 - val_categorical_accuracy: 0.7917 - 360ms/epoch - 7ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5240 - categorical_accuracy: 0.8024 - val_loss: 0.6430 - val_categorical_accuracy: 0.7538 - 360ms/epoch - 7ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5372 - categorical_accuracy: 0.8000 - val_loss: 0.6119 - val_categorical_accuracy: 0.7804 - 360ms/epoch - 7ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5162 - categorical_accuracy: 0.8048 - val_loss: 0.5679 - val_categorical_accuracy: 0.7835 - 370ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5518 - categorical_accuracy: 0.7994 - val_loss: 0.6127 - val_categorical_accuracy: 0.7746 - 374ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.4920 - categorical_accuracy: 0.8170 - val_loss: 0.5371 - val_categorical_accuracy: 0.7996 - 371ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.4993 - categorical_accuracy: 0.8135 - val_loss: 0.5601 - val_categorical_accuracy: 0.7898 - 378ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4973 - categorical_accuracy: 0.8135 - val_loss: 0.6093 - val_categorical_accuracy: 0.7711 - 382ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.5008 - categorical_accuracy: 0.8128 - val_loss: 0.5116 - val_categorical_accuracy: 0.8055 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.4914 - categorical_accuracy: 0.8150 - val_loss: 0.5386 - val_categorical_accuracy: 0.7987 - 380ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4937 - categorical_accuracy: 0.8159 - val_loss: 0.5249 - val_categorical_accuracy: 0.8040 - 380ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.5324 - categorical_accuracy: 0.8059 - val_loss: 0.5418 - val_categorical_accuracy: 0.8017 - 380ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4838 - categorical_accuracy: 0.8188 - val_loss: 0.5686 - val_categorical_accuracy: 0.7795 - 380ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4682 - categorical_accuracy: 0.8242 - val_loss: 0.5133 - val_categorical_accuracy: 0.8084 - 380ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4940 - categorical_accuracy: 0.8152 - val_loss: 0.4979 - val_categorical_accuracy: 0.8151 - 390ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4757 - categorical_accuracy: 0.8211 - val_loss: 0.5135 - val_categorical_accuracy: 0.8081 - 410ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4794 - categorical_accuracy: 0.8208 - val_loss: 0.6340 - val_categorical_accuracy: 0.7612 - 380ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4653 - categorical_accuracy: 0.8255 - val_loss: 0.5322 - val_categorical_accuracy: 0.7957 - 380ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4695 - categorical_accuracy: 0.8240 - val_loss: 0.5022 - val_categorical_accuracy: 0.8129 - 380ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4669 - categorical_accuracy: 0.8246 - val_loss: 0.5006 - val_categorical_accuracy: 0.8086 - 380ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4610 - categorical_accuracy: 0.8270 - val_loss: 0.6848 - val_categorical_accuracy: 0.7647 - 380ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4642 - categorical_accuracy: 0.8271 - val_loss: 0.5359 - val_categorical_accuracy: 0.7987 - 380ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4612 - categorical_accuracy: 0.8283 - val_loss: 0.5393 - val_categorical_accuracy: 0.8008 - 380ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4619 - categorical_accuracy: 0.8275 - val_loss: 0.5156 - val_categorical_accuracy: 0.8028 - 380ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4680 - categorical_accuracy: 0.8242 - val_loss: 0.4846 - val_categorical_accuracy: 0.8131 - 380ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4956 - categorical_accuracy: 0.8198 - val_loss: 0.8755 - val_categorical_accuracy: 0.6694 - 370ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4478 - categorical_accuracy: 0.8350 - val_loss: 0.6089 - val_categorical_accuracy: 0.7613 - 380ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.6776 - categorical_accuracy: 0.7793 - val_loss: 0.4729 - val_categorical_accuracy: 0.8213 - 380ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4370 - categorical_accuracy: 0.8367 - val_loss: 0.4719 - val_categorical_accuracy: 0.8224 - 380ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4378 - categorical_accuracy: 0.8376 - val_loss: 0.5004 - val_categorical_accuracy: 0.8123 - 390ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4536 - categorical_accuracy: 0.8317 - val_loss: 0.5750 - val_categorical_accuracy: 0.7938 - 394ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4313 - categorical_accuracy: 0.8395 - val_loss: 0.5102 - val_categorical_accuracy: 0.8094 - 386ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4299 - categorical_accuracy: 0.8405 - val_loss: 0.5791 - val_categorical_accuracy: 0.7852 - 390ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4734 - categorical_accuracy: 0.8281 - val_loss: 0.5728 - val_categorical_accuracy: 0.7821 - 380ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4465 - categorical_accuracy: 0.8337 - val_loss: 0.5019 - val_categorical_accuracy: 0.8104 - 380ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4255 - categorical_accuracy: 0.8405 - val_loss: 0.5279 - val_categorical_accuracy: 0.7964 - 370ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4220 - categorical_accuracy: 0.8430 - val_loss: 0.5176 - val_categorical_accuracy: 0.8038 - 380ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4414 - categorical_accuracy: 0.8388 - val_loss: 0.4909 - val_categorical_accuracy: 0.8178 - 380ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4232 - categorical_accuracy: 0.8432 - val_loss: 0.5318 - val_categorical_accuracy: 0.8046 - 380ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4220 - categorical_accuracy: 0.8415 - val_loss: 0.6066 - val_categorical_accuracy: 0.7661 - 380ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4156 - categorical_accuracy: 0.8443 - val_loss: 0.6494 - val_categorical_accuracy: 0.7738 - 390ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4249 - categorical_accuracy: 0.8427 - val_loss: 0.5960 - val_categorical_accuracy: 0.7736 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4181 - categorical_accuracy: 0.8431 - val_loss: 0.4796 - val_categorical_accuracy: 0.8220 - 390ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4216 - categorical_accuracy: 0.8431 - val_loss: 0.4697 - val_categorical_accuracy: 0.8234 - 420ms/epoch - 9ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4077 - categorical_accuracy: 0.8479 - val_loss: 0.5086 - val_categorical_accuracy: 0.8076 - 380ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4007 - categorical_accuracy: 0.8517 - val_loss: 0.4960 - val_categorical_accuracy: 0.8143 - 390ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4130 - categorical_accuracy: 0.8457 - val_loss: 0.5029 - val_categorical_accuracy: 0.8091 - 384ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.5343 - categorical_accuracy: 0.8201 - val_loss: 0.4786 - val_categorical_accuracy: 0.8211 - 380ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3967 - categorical_accuracy: 0.8540 - val_loss: 0.4519 - val_categorical_accuracy: 0.8332 - 380ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.4088 - categorical_accuracy: 0.8486 - val_loss: 0.4444 - val_categorical_accuracy: 0.8359 - 380ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.3894 - categorical_accuracy: 0.8555 - val_loss: 0.5220 - val_categorical_accuracy: 0.8091 - 390ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.4049 - categorical_accuracy: 0.8507 - val_loss: 0.4510 - val_categorical_accuracy: 0.8360 - 384ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.4032 - categorical_accuracy: 0.8513 - val_loss: 0.4322 - val_categorical_accuracy: 0.8434 - 380ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.3859 - categorical_accuracy: 0.8579 - val_loss: 0.4655 - val_categorical_accuracy: 0.8239 - 380ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3734 - categorical_accuracy: 0.8628 - val_loss: 0.6334 - val_categorical_accuracy: 0.7771 - 380ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.7029 - categorical_accuracy: 0.7815 - val_loss: 0.4348 - val_categorical_accuracy: 0.8401 - 430ms/epoch - 9ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3747 - categorical_accuracy: 0.8630 - val_loss: 0.4749 - val_categorical_accuracy: 0.8249 - 390ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3830 - categorical_accuracy: 0.8580 - val_loss: 0.5195 - val_categorical_accuracy: 0.8156 - 390ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3756 - categorical_accuracy: 0.8620 - val_loss: 0.4471 - val_categorical_accuracy: 0.8355 - 450ms/epoch - 9ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3847 - categorical_accuracy: 0.8572 - val_loss: 0.5187 - val_categorical_accuracy: 0.8007 - 490ms/epoch - 10ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3755 - categorical_accuracy: 0.8601 - val_loss: 0.4563 - val_categorical_accuracy: 0.8289 - 420ms/epoch - 9ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3879 - categorical_accuracy: 0.8571 - val_loss: 0.4977 - val_categorical_accuracy: 0.8203 - 364ms/epoch - 7ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3787 - categorical_accuracy: 0.8593 - val_loss: 0.4985 - val_categorical_accuracy: 0.8131 - 370ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3745 - categorical_accuracy: 0.8619 - val_loss: 0.4322 - val_categorical_accuracy: 0.8411 - 360ms/epoch - 7ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3857 - categorical_accuracy: 0.8568 - val_loss: 0.4315 - val_categorical_accuracy: 0.8442 - 360ms/epoch - 7ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3635 - categorical_accuracy: 0.8655 - val_loss: 0.4194 - val_categorical_accuracy: 0.8499 - 400ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3793 - categorical_accuracy: 0.8583 - val_loss: 0.4415 - val_categorical_accuracy: 0.8350 - 454ms/epoch - 9ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3708 - categorical_accuracy: 0.8643 - val_loss: 0.4471 - val_categorical_accuracy: 0.8411 - 440ms/epoch - 9ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3765 - categorical_accuracy: 0.8613 - val_loss: 0.4173 - val_categorical_accuracy: 0.8458 - 320ms/epoch - 7ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3605 - categorical_accuracy: 0.8675 - val_loss: 0.4480 - val_categorical_accuracy: 0.8357 - 340ms/epoch - 7ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3817 - categorical_accuracy: 0.8595 - val_loss: 0.4325 - val_categorical_accuracy: 0.8446 - 490ms/epoch - 10ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.5098 - categorical_accuracy: 0.8297 - val_loss: 0.4285 - val_categorical_accuracy: 0.8424 - 330ms/epoch - 7ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3399 - categorical_accuracy: 0.8780 - val_loss: 0.5027 - val_categorical_accuracy: 0.8197 - 330ms/epoch - 7ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3589 - categorical_accuracy: 0.8680 - val_loss: 0.4166 - val_categorical_accuracy: 0.8478 - 410ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3433 - categorical_accuracy: 0.8731 - val_loss: 0.4066 - val_categorical_accuracy: 0.8532 - 360ms/epoch - 7ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3691 - categorical_accuracy: 0.8673 - val_loss: 0.4490 - val_categorical_accuracy: 0.8318 - 360ms/epoch - 7ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3533 - categorical_accuracy: 0.8694 - val_loss: 0.4548 - val_categorical_accuracy: 0.8384 - 430ms/epoch - 9ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3467 - categorical_accuracy: 0.8712 - val_loss: 0.4527 - val_categorical_accuracy: 0.8303 - 370ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 1s - loss: 0.3676 - categorical_accuracy: 0.8654 - val_loss: 0.4300 - val_categorical_accuracy: 0.8428 - 510ms/epoch - 10ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3420 - categorical_accuracy: 0.8741 - val_loss: 0.3927 - val_categorical_accuracy: 0.8559 - 310ms/epoch - 6ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3442 - categorical_accuracy: 0.8731 - val_loss: 0.4555 - val_categorical_accuracy: 0.8310 - 310ms/epoch - 6ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3369 - categorical_accuracy: 0.8760 - val_loss: 0.4150 - val_categorical_accuracy: 0.8473 - 310ms/epoch - 6ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3663 - categorical_accuracy: 0.8643 - val_loss: 0.4125 - val_categorical_accuracy: 0.8503 - 320ms/epoch - 7ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3352 - categorical_accuracy: 0.8758 - val_loss: 0.5772 - val_categorical_accuracy: 0.7876 - 310ms/epoch - 6ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.5117 - categorical_accuracy: 0.8300 - val_loss: 0.3809 - val_categorical_accuracy: 0.8620 - 350ms/epoch - 7ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3301 - categorical_accuracy: 0.8800 - val_loss: 0.4508 - val_categorical_accuracy: 0.8347 - 360ms/epoch - 7ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3220 - categorical_accuracy: 0.8827 - val_loss: 0.4504 - val_categorical_accuracy: 0.8348 - 364ms/epoch - 7ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3537 - categorical_accuracy: 0.8724 - val_loss: 0.3856 - val_categorical_accuracy: 0.8607 - 370ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3215 - categorical_accuracy: 0.8830 - val_loss: 0.3841 - val_categorical_accuracy: 0.8604 - 380ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3401 - categorical_accuracy: 0.8738 - val_loss: 0.5192 - val_categorical_accuracy: 0.8189 - 380ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3599 - categorical_accuracy: 0.8708 - val_loss: 0.4501 - val_categorical_accuracy: 0.8336 - 380ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3300 - categorical_accuracy: 0.8782 - val_loss: 0.4214 - val_categorical_accuracy: 0.8489 - 380ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3248 - categorical_accuracy: 0.8811 - val_loss: 0.4277 - val_categorical_accuracy: 0.8451 - 380ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3368 - categorical_accuracy: 0.8758 - val_loss: 0.4248 - val_categorical_accuracy: 0.8444 - 380ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.4451 - categorical_accuracy: 0.8461 - val_loss: 0.3876 - val_categorical_accuracy: 0.8588 - 380ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3132 - categorical_accuracy: 0.8857 - val_loss: 0.3945 - val_categorical_accuracy: 0.8574 - 380ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3231 - categorical_accuracy: 0.8813 - val_loss: 0.3941 - val_categorical_accuracy: 0.8574 - 380ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3114 - categorical_accuracy: 0.8861 - val_loss: 0.3967 - val_categorical_accuracy: 0.8548 - 390ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3084 - categorical_accuracy: 0.8869 - val_loss: 0.4285 - val_categorical_accuracy: 0.8421 - 380ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3240 - categorical_accuracy: 0.8813 - val_loss: 0.5323 - val_categorical_accuracy: 0.8263 - 378ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3070 - categorical_accuracy: 0.8894 - val_loss: 0.4192 - val_categorical_accuracy: 0.8474 - 390ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3190 - categorical_accuracy: 0.8827 - val_loss: 0.4424 - val_categorical_accuracy: 0.8457 - 380ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3238 - categorical_accuracy: 0.8805 - val_loss: 0.5189 - val_categorical_accuracy: 0.8158 - 380ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3271 - categorical_accuracy: 0.8813 - val_loss: 0.5350 - val_categorical_accuracy: 0.8158 - 390ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3181 - categorical_accuracy: 0.8842 - val_loss: 0.3841 - val_categorical_accuracy: 0.8653 - 385ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 1s - loss: 0.3133 - categorical_accuracy: 0.8865 - val_loss: 0.3899 - val_categorical_accuracy: 0.8557 - 510ms/epoch - 10ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3074 - categorical_accuracy: 0.8877 - val_loss: 0.3951 - val_categorical_accuracy: 0.8585 - 330ms/epoch - 7ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3038 - categorical_accuracy: 0.8885 - val_loss: 0.4333 - val_categorical_accuracy: 0.8457 - 330ms/epoch - 7ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3149 - categorical_accuracy: 0.8829 - val_loss: 0.4321 - val_categorical_accuracy: 0.8454 - 330ms/epoch - 7ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.6863 - categorical_accuracy: 0.8001 - val_loss: 0.6589 - val_categorical_accuracy: 0.7680 - 324ms/epoch - 7ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3599 - categorical_accuracy: 0.8733 - val_loss: 0.4046 - val_categorical_accuracy: 0.8521 - 330ms/epoch - 7ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.2889 - categorical_accuracy: 0.8963 - val_loss: 0.3914 - val_categorical_accuracy: 0.8567 - 370ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2950 - categorical_accuracy: 0.8921 - val_loss: 0.4310 - val_categorical_accuracy: 0.8419 - 370ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.3032 - categorical_accuracy: 0.8887 - val_loss: 0.3889 - val_categorical_accuracy: 0.8598 - 370ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.2891 - categorical_accuracy: 0.8956 - val_loss: 0.5619 - val_categorical_accuracy: 0.7983 - 380ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.3302 - categorical_accuracy: 0.8816 - val_loss: 0.3753 - val_categorical_accuracy: 0.8673 - 374ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2954 - categorical_accuracy: 0.8927 - val_loss: 0.4054 - val_categorical_accuracy: 0.8558 - 380ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2979 - categorical_accuracy: 0.8919 - val_loss: 0.4006 - val_categorical_accuracy: 0.8586 - 380ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.3158 - categorical_accuracy: 0.8877 - val_loss: 0.6255 - val_categorical_accuracy: 0.7622 - 370ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2955 - categorical_accuracy: 0.8957 - val_loss: 0.3788 - val_categorical_accuracy: 0.8653 - 380ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3017 - categorical_accuracy: 0.8891 - val_loss: 0.4050 - val_categorical_accuracy: 0.8575 - 380ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2842 - categorical_accuracy: 0.8967 - val_loss: 0.3557 - val_categorical_accuracy: 0.8718 - 390ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.2924 - categorical_accuracy: 0.8937 - val_loss: 0.4006 - val_categorical_accuracy: 0.8565 - 390ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2841 - categorical_accuracy: 0.8961 - val_loss: 0.3683 - val_categorical_accuracy: 0.8733 - 390ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2825 - categorical_accuracy: 0.8973 - val_loss: 0.4281 - val_categorical_accuracy: 0.8472 - 390ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2952 - categorical_accuracy: 0.8920 - val_loss: 0.4495 - val_categorical_accuracy: 0.8502 - 410ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2939 - categorical_accuracy: 0.8941 - val_loss: 0.4167 - val_categorical_accuracy: 0.8526 - 480ms/epoch - 10ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.2865 - categorical_accuracy: 0.8965 - val_loss: 0.3847 - val_categorical_accuracy: 0.8615 - 330ms/epoch - 7ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.3230 - categorical_accuracy: 0.8928 - val_loss: 0.8232 - val_categorical_accuracy: 0.7206 - 330ms/epoch - 7ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.3254 - categorical_accuracy: 0.8865 - val_loss: 0.3906 - val_categorical_accuracy: 0.8615 - 330ms/epoch - 7ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2808 - categorical_accuracy: 0.8991 - val_loss: 0.4787 - val_categorical_accuracy: 0.8384 - 320ms/epoch - 7ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2774 - categorical_accuracy: 0.8990 - val_loss: 0.3688 - val_categorical_accuracy: 0.8711 - 324ms/epoch - 7ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2865 - categorical_accuracy: 0.8966 - val_loss: 0.3630 - val_categorical_accuracy: 0.8720 - 380ms/epoch - 8ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2769 - categorical_accuracy: 0.9000 - val_loss: 0.3540 - val_categorical_accuracy: 0.8748 - 380ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2741 - categorical_accuracy: 0.8998 - val_loss: 0.3616 - val_categorical_accuracy: 0.8739 - 370ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2688 - categorical_accuracy: 0.9033 - val_loss: 0.3877 - val_categorical_accuracy: 0.8639 - 370ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2789 - categorical_accuracy: 0.8995 - val_loss: 0.3958 - val_categorical_accuracy: 0.8584 - 380ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.3002 - categorical_accuracy: 0.8950 - val_loss: 0.3699 - val_categorical_accuracy: 0.8695 - 380ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2799 - categorical_accuracy: 0.9005 - val_loss: 0.3667 - val_categorical_accuracy: 0.8723 - 380ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2723 - categorical_accuracy: 0.9019 - val_loss: 0.5092 - val_categorical_accuracy: 0.8328 - 380ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2786 - categorical_accuracy: 0.8995 - val_loss: 0.3963 - val_categorical_accuracy: 0.8588 - 380ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2831 - categorical_accuracy: 0.8982 - val_loss: 0.4734 - val_categorical_accuracy: 0.8360 - 380ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2629 - categorical_accuracy: 0.9050 - val_loss: 0.3762 - val_categorical_accuracy: 0.8668 - 380ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2774 - categorical_accuracy: 0.8997 - val_loss: 0.3748 - val_categorical_accuracy: 0.8700 - 390ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2658 - categorical_accuracy: 0.9026 - val_loss: 0.4217 - val_categorical_accuracy: 0.8534 - 390ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2664 - categorical_accuracy: 0.9037 - val_loss: 0.3890 - val_categorical_accuracy: 0.8639 - 390ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2785 - categorical_accuracy: 0.8998 - val_loss: 2.7932 - val_categorical_accuracy: 0.5356 - 390ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.5949 - categorical_accuracy: 0.8295 - val_loss: 0.3534 - val_categorical_accuracy: 0.8760 - 390ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2400 - categorical_accuracy: 0.9164 - val_loss: 0.3700 - val_categorical_accuracy: 0.8727 - 420ms/epoch - 9ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2577 - categorical_accuracy: 0.9067 - val_loss: 0.3997 - val_categorical_accuracy: 0.8641 - 384ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2535 - categorical_accuracy: 0.9096 - val_loss: 0.4170 - val_categorical_accuracy: 0.8563 - 390ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2564 - categorical_accuracy: 0.9069 - val_loss: 0.4510 - val_categorical_accuracy: 0.8371 - 390ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2647 - categorical_accuracy: 0.9038 - val_loss: 0.3909 - val_categorical_accuracy: 0.8616 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.4140 - categorical_accuracy: 0.8690 - val_loss: 0.3929 - val_categorical_accuracy: 0.8607 - 390ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2494 - categorical_accuracy: 0.9126 - val_loss: 0.3660 - val_categorical_accuracy: 0.8729 - 390ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2534 - categorical_accuracy: 0.9088 - val_loss: 0.4464 - val_categorical_accuracy: 0.8475 - 380ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2645 - categorical_accuracy: 0.9035 - val_loss: 0.4861 - val_categorical_accuracy: 0.8357 - 380ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2547 - categorical_accuracy: 0.9076 - val_loss: 0.4401 - val_categorical_accuracy: 0.8447 - 370ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2586 - categorical_accuracy: 0.9060 - val_loss: 0.3465 - val_categorical_accuracy: 0.8785 - 380ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9073 - val_loss: 0.3438 - val_categorical_accuracy: 0.8782 - 380ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2439 - categorical_accuracy: 0.9134 - val_loss: 0.3552 - val_categorical_accuracy: 0.8759 - 380ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2478 - categorical_accuracy: 0.9118 - val_loss: 0.4000 - val_categorical_accuracy: 0.8605 - 380ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2525 - categorical_accuracy: 0.9077 - val_loss: 0.3740 - val_categorical_accuracy: 0.8713 - 390ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2421 - categorical_accuracy: 0.9130 - val_loss: 0.4340 - val_categorical_accuracy: 0.8485 - 390ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2523 - categorical_accuracy: 0.9095 - val_loss: 0.3982 - val_categorical_accuracy: 0.8650 - 390ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2483 - categorical_accuracy: 0.9112 - val_loss: 0.3851 - val_categorical_accuracy: 0.8667 - 390ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2425 - categorical_accuracy: 0.9128 - val_loss: 0.3998 - val_categorical_accuracy: 0.8609 - 390ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2382 - categorical_accuracy: 0.9160 - val_loss: 0.3592 - val_categorical_accuracy: 0.8766 - 374ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2937 - categorical_accuracy: 0.8979 - val_loss: 0.3412 - val_categorical_accuracy: 0.8815 - 380ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2322 - categorical_accuracy: 0.9184 - val_loss: 0.3604 - val_categorical_accuracy: 0.8739 - 380ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2326 - categorical_accuracy: 0.9160 - val_loss: 0.5190 - val_categorical_accuracy: 0.8348 - 380ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.3218 - categorical_accuracy: 0.8924 - val_loss: 0.3502 - val_categorical_accuracy: 0.8787 - 380ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2344 - categorical_accuracy: 0.9147 - val_loss: 0.3471 - val_categorical_accuracy: 0.8808 - 380ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2304 - categorical_accuracy: 0.9185 - val_loss: 0.3630 - val_categorical_accuracy: 0.8776 - 380ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2417 - categorical_accuracy: 0.9117 - val_loss: 0.3834 - val_categorical_accuracy: 0.8718 - 390ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2449 - categorical_accuracy: 0.9116 - val_loss: 0.3599 - val_categorical_accuracy: 0.8759 - 380ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2546 - categorical_accuracy: 0.9088 - val_loss: 0.4119 - val_categorical_accuracy: 0.8586 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2168 - categorical_accuracy: 0.9233 - val_loss: 0.3873 - val_categorical_accuracy: 0.8770 - 380ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2602 - categorical_accuracy: 0.9064 - val_loss: 0.3705 - val_categorical_accuracy: 0.8744 - 380ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2164 - categorical_accuracy: 0.9233 - val_loss: 0.3569 - val_categorical_accuracy: 0.8741 - 380ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2818 - categorical_accuracy: 0.9024 - val_loss: 0.4096 - val_categorical_accuracy: 0.8631 - 390ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2526 - categorical_accuracy: 0.9098 - val_loss: 0.3677 - val_categorical_accuracy: 0.8755 - 390ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2140 - categorical_accuracy: 0.9246 - val_loss: 0.3996 - val_categorical_accuracy: 0.8645 - 390ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2302 - categorical_accuracy: 0.9185 - val_loss: 0.3774 - val_categorical_accuracy: 0.8720 - 380ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2308 - categorical_accuracy: 0.9165 - val_loss: 0.3891 - val_categorical_accuracy: 0.8655 - 380ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2420 - categorical_accuracy: 0.9110 - val_loss: 0.4802 - val_categorical_accuracy: 0.8330 - 380ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2854 - categorical_accuracy: 0.9062 - val_loss: 0.3415 - val_categorical_accuracy: 0.8852 - 380ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2289 - categorical_accuracy: 0.9175 - val_loss: 0.4014 - val_categorical_accuracy: 0.8626 - 380ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2257 - categorical_accuracy: 0.9200 - val_loss: 0.5527 - val_categorical_accuracy: 0.8207 - 384ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2794 - categorical_accuracy: 0.9047 - val_loss: 0.3481 - val_categorical_accuracy: 0.8805 - 390ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2268 - categorical_accuracy: 0.9184 - val_loss: 0.4356 - val_categorical_accuracy: 0.8533 - 380ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2088 - categorical_accuracy: 0.9263 - val_loss: 0.3611 - val_categorical_accuracy: 0.8771 - 380ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2421 - categorical_accuracy: 0.9120 - val_loss: 0.3617 - val_categorical_accuracy: 0.8778 - 380ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2136 - categorical_accuracy: 0.9235 - val_loss: 0.4584 - val_categorical_accuracy: 0.8427 - 390ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2309 - categorical_accuracy: 0.9181 - val_loss: 0.4302 - val_categorical_accuracy: 0.8570 - 380ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2277 - categorical_accuracy: 0.9192 - val_loss: 0.3930 - val_categorical_accuracy: 0.8665 - 380ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2164 - categorical_accuracy: 0.9228 - val_loss: 0.4177 - val_categorical_accuracy: 0.8651 - 380ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2611 - categorical_accuracy: 0.9062 - val_loss: 0.8430 - val_categorical_accuracy: 0.7593 - 380ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2268 - categorical_accuracy: 0.9222 - val_loss: 0.3444 - val_categorical_accuracy: 0.8877 - 380ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2257 - categorical_accuracy: 0.9177 - val_loss: 0.3755 - val_categorical_accuracy: 0.8724 - 378ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9215 - val_loss: 0.3541 - val_categorical_accuracy: 0.8790 - 380ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2243 - categorical_accuracy: 0.9191 - val_loss: 0.3622 - val_categorical_accuracy: 0.8791 - 380ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2063 - categorical_accuracy: 0.9269 - val_loss: 0.3371 - val_categorical_accuracy: 0.8882 - 380ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2183 - categorical_accuracy: 0.9229 - val_loss: 0.3363 - val_categorical_accuracy: 0.8881 - 380ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2247 - categorical_accuracy: 0.9197 - val_loss: 0.3271 - val_categorical_accuracy: 0.8888 - 384ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2227 - categorical_accuracy: 0.9211 - val_loss: 0.3977 - val_categorical_accuracy: 0.8618 - 380ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9218 - val_loss: 0.3457 - val_categorical_accuracy: 0.8857 - 380ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2132 - categorical_accuracy: 0.9226 - val_loss: 0.3884 - val_categorical_accuracy: 0.8677 - 380ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2125 - categorical_accuracy: 0.9240 - val_loss: 0.4093 - val_categorical_accuracy: 0.8598 - 390ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2294 - categorical_accuracy: 0.9187 - val_loss: 0.3459 - val_categorical_accuracy: 0.8858 - 394ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2039 - categorical_accuracy: 0.9280 - val_loss: 0.4520 - val_categorical_accuracy: 0.8482 - 390ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.4481 - categorical_accuracy: 0.8700 - val_loss: 0.3709 - val_categorical_accuracy: 0.8693 - 420ms/epoch - 9ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2012 - categorical_accuracy: 0.9319 - val_loss: 0.3376 - val_categorical_accuracy: 0.8839 - 390ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.1987 - categorical_accuracy: 0.9293 - val_loss: 0.3856 - val_categorical_accuracy: 0.8729 - 390ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2094 - categorical_accuracy: 0.9250 - val_loss: 0.3668 - val_categorical_accuracy: 0.8771 - 424ms/epoch - 9ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2175 - categorical_accuracy: 0.9227 - val_loss: 0.3303 - val_categorical_accuracy: 0.8911 - 430ms/epoch - 9ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2037 - categorical_accuracy: 0.9281 - val_loss: 0.3704 - val_categorical_accuracy: 0.8810 - 480ms/epoch - 10ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9271 - val_loss: 0.3546 - val_categorical_accuracy: 0.8815 - 430ms/epoch - 9ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9236 - val_loss: 0.3575 - val_categorical_accuracy: 0.8816 - 420ms/epoch - 9ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2036 - categorical_accuracy: 0.9276 - val_loss: 0.3859 - val_categorical_accuracy: 0.8740 - 404ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9293 - val_loss: 0.4309 - val_categorical_accuracy: 0.8562 - 390ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2140 - categorical_accuracy: 0.9231 - val_loss: 0.3782 - val_categorical_accuracy: 0.8796 - 390ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.1870 - categorical_accuracy: 0.9344 - val_loss: 0.3590 - val_categorical_accuracy: 0.8839 - 380ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2251 - categorical_accuracy: 0.9184 - val_loss: 0.3810 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.1878 - categorical_accuracy: 0.9335 - val_loss: 0.3885 - val_categorical_accuracy: 0.8764 - 404ms/epoch - 8ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2581 - categorical_accuracy: 0.9094 - val_loss: 0.3492 - val_categorical_accuracy: 0.8839 - 380ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1853 - categorical_accuracy: 0.9357 - val_loss: 0.4244 - val_categorical_accuracy: 0.8621 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9295 - val_loss: 0.4969 - val_categorical_accuracy: 0.8421 - 390ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2749 - categorical_accuracy: 0.9094 - val_loss: 0.3364 - val_categorical_accuracy: 0.8883 - 380ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1851 - categorical_accuracy: 0.9349 - val_loss: 0.3814 - val_categorical_accuracy: 0.8757 - 400ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.1823 - categorical_accuracy: 0.9357 - val_loss: 0.3407 - val_categorical_accuracy: 0.8900 - 380ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.2354 - categorical_accuracy: 0.9155 - val_loss: 0.4175 - val_categorical_accuracy: 0.8639 - 393ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.1848 - categorical_accuracy: 0.9349 - val_loss: 0.5057 - val_categorical_accuracy: 0.8522 - 400ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9262 - val_loss: 0.4796 - val_categorical_accuracy: 0.8476 - 390ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.2175 - categorical_accuracy: 0.9233 - val_loss: 0.6912 - val_categorical_accuracy: 0.7940 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2053 - categorical_accuracy: 0.9289 - val_loss: 0.3312 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.2032 - categorical_accuracy: 0.9272 - val_loss: 0.4039 - val_categorical_accuracy: 0.8692 - 430ms/epoch - 9ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.2100 - categorical_accuracy: 0.9262 - val_loss: 0.3558 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1947 - categorical_accuracy: 0.9342 - val_loss: 0.3834 - val_categorical_accuracy: 0.8748 - 390ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.1763 - categorical_accuracy: 0.9391 - val_loss: 0.3988 - val_categorical_accuracy: 0.8742 - 390ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.2145 - categorical_accuracy: 0.9221 - val_loss: 0.3349 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1732 - categorical_accuracy: 0.9398 - val_loss: 0.3392 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 1s - loss: 0.2951 - categorical_accuracy: 0.9021 - val_loss: 0.3273 - val_categorical_accuracy: 0.8929 - 550ms/epoch - 11ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1693 - categorical_accuracy: 0.9422 - val_loss: 0.3310 - val_categorical_accuracy: 0.8941 - 310ms/epoch - 6ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2182 - categorical_accuracy: 0.9216 - val_loss: 0.3557 - val_categorical_accuracy: 0.8799 - 320ms/epoch - 7ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1811 - categorical_accuracy: 0.9361 - val_loss: 0.3852 - val_categorical_accuracy: 0.8769 - 310ms/epoch - 6ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1911 - categorical_accuracy: 0.9336 - val_loss: 0.4217 - val_categorical_accuracy: 0.8594 - 310ms/epoch - 6ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.2183 - categorical_accuracy: 0.9268 - val_loss: 0.3275 - val_categorical_accuracy: 0.8898 - 320ms/epoch - 7ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.2090 - categorical_accuracy: 0.9283 - val_loss: 0.3249 - val_categorical_accuracy: 0.8924 - 330ms/epoch - 7ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.1603 - categorical_accuracy: 0.9454 - val_loss: 0.3258 - val_categorical_accuracy: 0.8945 - 310ms/epoch - 6ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.2182 - categorical_accuracy: 0.9225 - val_loss: 0.3311 - val_categorical_accuracy: 0.8932 - 310ms/epoch - 6ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9455 - val_loss: 0.3567 - val_categorical_accuracy: 0.8867 - 310ms/epoch - 6ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1962 - categorical_accuracy: 0.9289 - val_loss: 0.3866 - val_categorical_accuracy: 0.8758 - 310ms/epoch - 6ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1755 - categorical_accuracy: 0.9377 - val_loss: 0.3870 - val_categorical_accuracy: 0.8769 - 310ms/epoch - 6ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9309 - val_loss: 0.3596 - val_categorical_accuracy: 0.8859 - 360ms/epoch - 7ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.1909 - categorical_accuracy: 0.9317 - val_loss: 0.3496 - val_categorical_accuracy: 0.8877 - 360ms/epoch - 7ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9335 - val_loss: 0.3604 - val_categorical_accuracy: 0.8819 - 370ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.8996 - categorical_accuracy: 0.7764 - val_loss: 0.4039 - val_categorical_accuracy: 0.8615 - 370ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.2273 - categorical_accuracy: 0.9211 - val_loss: 0.3453 - val_categorical_accuracy: 0.8827 - 380ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1775 - categorical_accuracy: 0.9394 - val_loss: 0.3315 - val_categorical_accuracy: 0.8904 - 370ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1830 - categorical_accuracy: 0.9361 - val_loss: 0.3503 - val_categorical_accuracy: 0.8882 - 380ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9461 - val_loss: 0.3334 - val_categorical_accuracy: 0.8940 - 394ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.2113 - categorical_accuracy: 0.9254 - val_loss: 0.3334 - val_categorical_accuracy: 0.8930 - 386ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9384 - val_loss: 0.3648 - val_categorical_accuracy: 0.8863 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1664 - categorical_accuracy: 0.9421 - val_loss: 0.3631 - val_categorical_accuracy: 0.8841 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1972 - categorical_accuracy: 0.9308 - val_loss: 0.3333 - val_categorical_accuracy: 0.8921 - 400ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9423 - val_loss: 0.4888 - val_categorical_accuracy: 0.8415 - 390ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.2089 - categorical_accuracy: 0.9284 - val_loss: 0.3377 - val_categorical_accuracy: 0.8878 - 420ms/epoch - 9ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.2606 - categorical_accuracy: 0.9150 - val_loss: 0.5296 - val_categorical_accuracy: 0.8240 - 440ms/epoch - 9ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1696 - categorical_accuracy: 0.9423 - val_loss: 0.3411 - val_categorical_accuracy: 0.8942 - 360ms/epoch - 7ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1770 - categorical_accuracy: 0.9363 - val_loss: 0.3295 - val_categorical_accuracy: 0.8953 - 360ms/epoch - 7ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9410 - val_loss: 0.8359 - val_categorical_accuracy: 0.7825 - 420ms/epoch - 9ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.2346 - categorical_accuracy: 0.9256 - val_loss: 0.3250 - val_categorical_accuracy: 0.8967 - 315ms/epoch - 6ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1660 - categorical_accuracy: 0.9417 - val_loss: 0.3468 - val_categorical_accuracy: 0.8904 - 340ms/epoch - 7ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.1489 - categorical_accuracy: 0.9489 - val_loss: 0.4022 - val_categorical_accuracy: 0.8796 - 320ms/epoch - 7ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1902 - categorical_accuracy: 0.9337 - val_loss: 0.3370 - val_categorical_accuracy: 0.8958 - 320ms/epoch - 7ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.2004 - categorical_accuracy: 0.9292 - val_loss: 0.3242 - val_categorical_accuracy: 0.8978 - 320ms/epoch - 7ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9377 - val_loss: 0.3482 - val_categorical_accuracy: 0.8900 - 360ms/epoch - 7ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1575 - categorical_accuracy: 0.9451 - val_loss: 0.3632 - val_categorical_accuracy: 0.8855 - 364ms/epoch - 7ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.2002 - categorical_accuracy: 0.9321 - val_loss: 0.3416 - val_categorical_accuracy: 0.8915 - 360ms/epoch - 7ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1790 - categorical_accuracy: 0.9373 - val_loss: 0.3553 - val_categorical_accuracy: 0.8892 - 380ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.2418 - categorical_accuracy: 0.9192 - val_loss: 0.3869 - val_categorical_accuracy: 0.8687 - 380ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1561 - categorical_accuracy: 0.9469 - val_loss: 0.3949 - val_categorical_accuracy: 0.8769 - 390ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1795 - categorical_accuracy: 0.9372 - val_loss: 0.3718 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9397 - val_loss: 0.3290 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1699 - categorical_accuracy: 0.9421 - val_loss: 0.5348 - val_categorical_accuracy: 0.8513 - 390ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1788 - categorical_accuracy: 0.9383 - val_loss: 0.4654 - val_categorical_accuracy: 0.8562 - 390ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1517 - categorical_accuracy: 0.9482 - val_loss: 0.3304 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1613 - categorical_accuracy: 0.9440 - val_loss: 0.4577 - val_categorical_accuracy: 0.8562 - 395ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9375 - val_loss: 0.3462 - val_categorical_accuracy: 0.8911 - 380ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1800 - categorical_accuracy: 0.9378 - val_loss: 0.3774 - val_categorical_accuracy: 0.8752 - 380ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9412 - val_loss: 0.4078 - val_categorical_accuracy: 0.8657 - 380ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.2180 - categorical_accuracy: 0.9273 - val_loss: 0.3210 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9463 - val_loss: 0.4573 - val_categorical_accuracy: 0.8553 - 390ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1694 - categorical_accuracy: 0.9415 - val_loss: 0.3710 - val_categorical_accuracy: 0.8832 - 380ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1770 - categorical_accuracy: 0.9386 - val_loss: 0.3297 - val_categorical_accuracy: 0.8971 - 380ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9413 - val_loss: 0.3453 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9463 - val_loss: 0.4400 - val_categorical_accuracy: 0.8656 - 390ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9382 - val_loss: 0.3636 - val_categorical_accuracy: 0.8873 - 394ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1449 - categorical_accuracy: 0.9502 - val_loss: 0.4101 - val_categorical_accuracy: 0.8784 - 383ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.4166 - categorical_accuracy: 0.8817 - val_loss: 0.3243 - val_categorical_accuracy: 0.8950 - 399ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1451 - categorical_accuracy: 0.9513 - val_loss: 0.3312 - val_categorical_accuracy: 0.8967 - 410ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1840 - categorical_accuracy: 0.9375 - val_loss: 0.3257 - val_categorical_accuracy: 0.8962 - 388ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1437 - categorical_accuracy: 0.9506 - val_loss: 0.3326 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1746 - categorical_accuracy: 0.9417 - val_loss: 0.3205 - val_categorical_accuracy: 0.8990 - 385ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1712 - categorical_accuracy: 0.9411 - val_loss: 0.3494 - val_categorical_accuracy: 0.8911 - 385ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9505 - val_loss: 0.3757 - val_categorical_accuracy: 0.8833 - 389ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9388 - val_loss: 0.3379 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9507 - val_loss: 0.3453 - val_categorical_accuracy: 0.8948 - 380ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1946 - categorical_accuracy: 0.9297 - val_loss: 0.3512 - val_categorical_accuracy: 0.8947 - 385ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1623 - categorical_accuracy: 0.9426 - val_loss: 0.3778 - val_categorical_accuracy: 0.8824 - 380ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1377 - categorical_accuracy: 0.9527 - val_loss: 0.3435 - val_categorical_accuracy: 0.8975 - 380ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1948 - categorical_accuracy: 0.9338 - val_loss: 0.3390 - val_categorical_accuracy: 0.8948 - 380ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1947 - categorical_accuracy: 0.9351 - val_loss: 0.3708 - val_categorical_accuracy: 0.8860 - 380ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1353 - categorical_accuracy: 0.9538 - val_loss: 0.4568 - val_categorical_accuracy: 0.8671 - 384ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9526 - val_loss: 0.4172 - val_categorical_accuracy: 0.8768 - 390ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.2147 - categorical_accuracy: 0.9276 - val_loss: 0.5590 - val_categorical_accuracy: 0.8330 - 390ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9478 - val_loss: 0.3386 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1540 - categorical_accuracy: 0.9455 - val_loss: 0.3514 - val_categorical_accuracy: 0.8956 - 420ms/epoch - 9ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1332 - categorical_accuracy: 0.9546 - val_loss: 0.3798 - val_categorical_accuracy: 0.8816 - 385ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 1s - loss: 0.1727 - categorical_accuracy: 0.9412 - val_loss: 0.3570 - val_categorical_accuracy: 0.8924 - 550ms/epoch - 11ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9490 - val_loss: 0.3481 - val_categorical_accuracy: 0.8959 - 384ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9484 - val_loss: 0.5793 - val_categorical_accuracy: 0.8346 - 380ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.5833 - categorical_accuracy: 0.8555 - val_loss: 0.3424 - val_categorical_accuracy: 0.8877 - 380ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1472 - categorical_accuracy: 0.9506 - val_loss: 0.3412 - val_categorical_accuracy: 0.8931 - 380ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1399 - categorical_accuracy: 0.9520 - val_loss: 0.3458 - val_categorical_accuracy: 0.8951 - 380ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1588 - categorical_accuracy: 0.9442 - val_loss: 0.3344 - val_categorical_accuracy: 0.8973 - 380ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9372 - val_loss: 0.3499 - val_categorical_accuracy: 0.8901 - 380ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1342 - categorical_accuracy: 0.9539 - val_loss: 0.3391 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1612 - categorical_accuracy: 0.9433 - val_loss: 0.3339 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1482 - categorical_accuracy: 0.9483 - val_loss: 0.3621 - val_categorical_accuracy: 0.8911 - 420ms/epoch - 9ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9386 - val_loss: 0.3602 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1506 - categorical_accuracy: 0.9484 - val_loss: 0.3523 - val_categorical_accuracy: 0.8958 - 380ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1289 - categorical_accuracy: 0.9560 - val_loss: 0.3653 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1714 - categorical_accuracy: 0.9426 - val_loss: 0.3364 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1308 - categorical_accuracy: 0.9560 - val_loss: 0.3852 - val_categorical_accuracy: 0.8819 - 380ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.2016 - categorical_accuracy: 0.9324 - val_loss: 0.4906 - val_categorical_accuracy: 0.8608 - 400ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1690 - categorical_accuracy: 0.9421 - val_loss: 0.3539 - val_categorical_accuracy: 0.8939 - 380ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1322 - categorical_accuracy: 0.9550 - val_loss: 0.3917 - val_categorical_accuracy: 0.8828 - 380ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1410 - categorical_accuracy: 0.9509 - val_loss: 0.3640 - val_categorical_accuracy: 0.8912 - 380ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9541 - val_loss: 0.5577 - val_categorical_accuracy: 0.8437 - 380ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.2172 - categorical_accuracy: 0.9254 - val_loss: 0.3397 - val_categorical_accuracy: 0.8916 - 370ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9557 - val_loss: 0.3496 - val_categorical_accuracy: 0.8965 - 380ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1366 - categorical_accuracy: 0.9523 - val_loss: 0.3662 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1593 - categorical_accuracy: 0.9446 - val_loss: 0.3437 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9481 - val_loss: 0.4359 - val_categorical_accuracy: 0.8736 - 385ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1963 - categorical_accuracy: 0.9345 - val_loss: 0.3361 - val_categorical_accuracy: 0.8970 - 380ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1228 - categorical_accuracy: 0.9584 - val_loss: 0.3580 - val_categorical_accuracy: 0.8917 - 470ms/epoch - 10ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.2228 - categorical_accuracy: 0.9257 - val_loss: 0.3729 - val_categorical_accuracy: 0.8858 - 380ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1271 - categorical_accuracy: 0.9575 - val_loss: 0.3369 - val_categorical_accuracy: 0.9029 - 370ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1262 - categorical_accuracy: 0.9568 - val_loss: 0.5305 - val_categorical_accuracy: 0.8429 - 370ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.2702 - categorical_accuracy: 0.9160 - val_loss: 0.3598 - val_categorical_accuracy: 0.8888 - 370ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1267 - categorical_accuracy: 0.9573 - val_loss: 0.3432 - val_categorical_accuracy: 0.8974 - 380ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1260 - categorical_accuracy: 0.9570 - val_loss: 0.3761 - val_categorical_accuracy: 0.8876 - 380ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1651 - categorical_accuracy: 0.9417 - val_loss: 0.3364 - val_categorical_accuracy: 0.9002 - 380ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1663 - categorical_accuracy: 0.9435 - val_loss: 0.3458 - val_categorical_accuracy: 0.8968 - 384ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1220 - categorical_accuracy: 0.9582 - val_loss: 0.3615 - val_categorical_accuracy: 0.8937 - 380ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 1s - loss: 0.3200 - categorical_accuracy: 0.9255 - val_loss: 5.7896 - val_categorical_accuracy: 0.2573 - 500ms/epoch - 10ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.8258 - categorical_accuracy: 0.7492 - val_loss: 0.4278 - val_categorical_accuracy: 0.8540 - 430ms/epoch - 9ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.2230 - categorical_accuracy: 0.9235 - val_loss: 0.3525 - val_categorical_accuracy: 0.8870 - 330ms/epoch - 7ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1637 - categorical_accuracy: 0.9439 - val_loss: 0.3606 - val_categorical_accuracy: 0.8888 - 325ms/epoch - 7ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1442 - categorical_accuracy: 0.9505 - val_loss: 0.3488 - val_categorical_accuracy: 0.8952 - 330ms/epoch - 7ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1397 - categorical_accuracy: 0.9512 - val_loss: 0.3409 - val_categorical_accuracy: 0.8994 - 330ms/epoch - 7ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1942 - categorical_accuracy: 0.9346 - val_loss: 0.3316 - val_categorical_accuracy: 0.8986 - 330ms/epoch - 7ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1294 - categorical_accuracy: 0.9562 - val_loss: 0.3524 - val_categorical_accuracy: 0.8973 - 370ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1288 - categorical_accuracy: 0.9557 - val_loss: 0.3576 - val_categorical_accuracy: 0.8947 - 370ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1816 - categorical_accuracy: 0.9379 - val_loss: 0.3413 - val_categorical_accuracy: 0.8990 - 374ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1397 - categorical_accuracy: 0.9522 - val_loss: 0.3311 - val_categorical_accuracy: 0.9047 - 380ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1247 - categorical_accuracy: 0.9568 - val_loss: 0.3516 - val_categorical_accuracy: 0.8984 - 380ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.2168 - categorical_accuracy: 0.9309 - val_loss: 0.3573 - val_categorical_accuracy: 0.8897 - 370ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1244 - categorical_accuracy: 0.9586 - val_loss: 0.3524 - val_categorical_accuracy: 0.8925 - 380ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1500 - categorical_accuracy: 0.9499 - val_loss: 1.1177 - val_categorical_accuracy: 0.7068 - 380ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9411 - val_loss: 0.3428 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1259 - categorical_accuracy: 0.9565 - val_loss: 0.3636 - val_categorical_accuracy: 0.8945 - 380ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1465 - categorical_accuracy: 0.9481 - val_loss: 0.3639 - val_categorical_accuracy: 0.8920 - 390ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1285 - categorical_accuracy: 0.9565 - val_loss: 0.3769 - val_categorical_accuracy: 0.8899 - 380ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1474 - categorical_accuracy: 0.9483 - val_loss: 0.3571 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1197 - categorical_accuracy: 0.9592 - val_loss: 0.3628 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1646 - categorical_accuracy: 0.9443 - val_loss: 0.3506 - val_categorical_accuracy: 0.8978 - 380ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1766 - categorical_accuracy: 0.9419 - val_loss: 0.8579 - val_categorical_accuracy: 0.7965 - 380ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9522 - val_loss: 0.3411 - val_categorical_accuracy: 0.9008 - 380ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1176 - categorical_accuracy: 0.9597 - val_loss: 0.3556 - val_categorical_accuracy: 0.8973 - 374ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1211 - categorical_accuracy: 0.9579 - val_loss: 0.3590 - val_categorical_accuracy: 0.8981 - 380ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1473 - categorical_accuracy: 0.9501 - val_loss: 0.3512 - val_categorical_accuracy: 0.9001 - 380ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.2355 - categorical_accuracy: 0.9304 - val_loss: 0.3381 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1229 - categorical_accuracy: 0.9582 - val_loss: 0.3566 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1163 - categorical_accuracy: 0.9611 - val_loss: 0.3877 - val_categorical_accuracy: 0.8885 - 390ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1176 - categorical_accuracy: 0.9597 - val_loss: 0.3918 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9443 - val_loss: 0.5266 - val_categorical_accuracy: 0.8500 - 380ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1369 - categorical_accuracy: 0.9523 - val_loss: 0.3479 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1146 - categorical_accuracy: 0.9605 - val_loss: 0.3719 - val_categorical_accuracy: 0.8925 - 380ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1673 - categorical_accuracy: 0.9433 - val_loss: 0.3580 - val_categorical_accuracy: 0.8972 - 380ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1166 - categorical_accuracy: 0.9600 - val_loss: 0.4164 - val_categorical_accuracy: 0.8861 - 380ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9472 - val_loss: 0.3524 - val_categorical_accuracy: 0.9019 - 380ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1257 - categorical_accuracy: 0.9570 - val_loss: 0.9040 - val_categorical_accuracy: 0.7853 - 380ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1763 - categorical_accuracy: 0.9453 - val_loss: 0.3588 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1594 - categorical_accuracy: 0.9467 - val_loss: 0.3378 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1199 - categorical_accuracy: 0.9589 - val_loss: 0.4868 - val_categorical_accuracy: 0.8614 - 390ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1394 - categorical_accuracy: 0.9538 - val_loss: 0.3803 - val_categorical_accuracy: 0.8926 - 390ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1252 - categorical_accuracy: 0.9560 - val_loss: 0.3488 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1263 - categorical_accuracy: 0.9566 - val_loss: 0.9137 - val_categorical_accuracy: 0.7537 - 380ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1898 - categorical_accuracy: 0.9380 - val_loss: 0.3464 - val_categorical_accuracy: 0.8989 - 380ms/epoch - 8ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1085 - categorical_accuracy: 0.9635 - val_loss: 0.4050 - val_categorical_accuracy: 0.8837 - 380ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1446 - categorical_accuracy: 0.9480 - val_loss: 0.3761 - val_categorical_accuracy: 0.8963 - 380ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1177 - categorical_accuracy: 0.9590 - val_loss: 0.3875 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1158 - categorical_accuracy: 0.9595 - val_loss: 0.3801 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.2091 - categorical_accuracy: 0.9340 - val_loss: 0.3459 - val_categorical_accuracy: 0.8995 - 380ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1120 - categorical_accuracy: 0.9619 - val_loss: 0.3656 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1087 - categorical_accuracy: 0.9628 - val_loss: 0.3604 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1783 - categorical_accuracy: 0.9399 - val_loss: 0.3833 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1117 - categorical_accuracy: 0.9616 - val_loss: 0.3532 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1160 - categorical_accuracy: 0.9600 - val_loss: 0.3548 - val_categorical_accuracy: 0.9047 - 420ms/epoch - 9ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.3189 - categorical_accuracy: 0.9102 - val_loss: 0.3628 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1184 - categorical_accuracy: 0.9603 - val_loss: 0.3409 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1449 - categorical_accuracy: 0.9500 - val_loss: 0.3635 - val_categorical_accuracy: 0.8973 - 390ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1112 - categorical_accuracy: 0.9620 - val_loss: 0.3583 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1517 - categorical_accuracy: 0.9488 - val_loss: 0.3633 - val_categorical_accuracy: 0.8970 - 420ms/epoch - 9ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1104 - categorical_accuracy: 0.9625 - val_loss: 0.3617 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1101 - categorical_accuracy: 0.9621 - val_loss: 0.3896 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1724 - categorical_accuracy: 0.9429 - val_loss: 0.3660 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1079 - categorical_accuracy: 0.9639 - val_loss: 0.3869 - val_categorical_accuracy: 0.8913 - 380ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1193 - categorical_accuracy: 0.9581 - val_loss: 0.4787 - val_categorical_accuracy: 0.8688 - 380ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1432 - categorical_accuracy: 0.9521 - val_loss: 0.3779 - val_categorical_accuracy: 0.8966 - 380ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1113 - categorical_accuracy: 0.9616 - val_loss: 0.6045 - val_categorical_accuracy: 0.8379 - 380ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1376 - categorical_accuracy: 0.9535 - val_loss: 0.3770 - val_categorical_accuracy: 0.8976 - 380ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1081 - categorical_accuracy: 0.9619 - val_loss: 0.4071 - val_categorical_accuracy: 0.8936 - 380ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1565 - categorical_accuracy: 0.9469 - val_loss: 0.3630 - val_categorical_accuracy: 0.8969 - 370ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9621 - val_loss: 0.4056 - val_categorical_accuracy: 0.8852 - 380ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.2008 - categorical_accuracy: 0.9373 - val_loss: 0.3596 - val_categorical_accuracy: 0.8996 - 380ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1076 - categorical_accuracy: 0.9633 - val_loss: 0.3642 - val_categorical_accuracy: 0.9019 - 420ms/epoch - 9ms/step
Epoch 517/1500
49/49 - 1s - loss: 0.1120 - categorical_accuracy: 0.9613 - val_loss: 0.4959 - val_categorical_accuracy: 0.8716 - 540ms/epoch - 11ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1689 - categorical_accuracy: 0.9433 - val_loss: 0.3584 - val_categorical_accuracy: 0.9030 - 450ms/epoch - 9ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9647 - val_loss: 0.3679 - val_categorical_accuracy: 0.8980 - 410ms/epoch - 8ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1395 - categorical_accuracy: 0.9504 - val_loss: 0.3758 - val_categorical_accuracy: 0.8971 - 360ms/epoch - 7ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1100 - categorical_accuracy: 0.9619 - val_loss: 0.4041 - val_categorical_accuracy: 0.8899 - 360ms/epoch - 7ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1910 - categorical_accuracy: 0.9408 - val_loss: 0.3699 - val_categorical_accuracy: 0.8993 - 360ms/epoch - 7ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1065 - categorical_accuracy: 0.9634 - val_loss: 0.3823 - val_categorical_accuracy: 0.8967 - 360ms/epoch - 7ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9616 - val_loss: 0.4012 - val_categorical_accuracy: 0.8887 - 400ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.2036 - categorical_accuracy: 0.9378 - val_loss: 0.3784 - val_categorical_accuracy: 0.8969 - 450ms/epoch - 9ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1034 - categorical_accuracy: 0.9651 - val_loss: 0.3653 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1129 - categorical_accuracy: 0.9614 - val_loss: 0.7893 - val_categorical_accuracy: 0.8121 - 360ms/epoch - 7ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1700 - categorical_accuracy: 0.9440 - val_loss: 0.3981 - val_categorical_accuracy: 0.8874 - 450ms/epoch - 9ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9636 - val_loss: 0.3730 - val_categorical_accuracy: 0.8998 - 370ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1072 - categorical_accuracy: 0.9632 - val_loss: 0.3696 - val_categorical_accuracy: 0.9007 - 370ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1050 - categorical_accuracy: 0.9637 - val_loss: 0.4014 - val_categorical_accuracy: 0.8972 - 370ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1678 - categorical_accuracy: 0.9436 - val_loss: 0.3705 - val_categorical_accuracy: 0.9006 - 360ms/epoch - 7ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1058 - categorical_accuracy: 0.9640 - val_loss: 0.3813 - val_categorical_accuracy: 0.9000 - 380ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1029 - categorical_accuracy: 0.9645 - val_loss: 0.3946 - val_categorical_accuracy: 0.8977 - 420ms/epoch - 9ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9459 - val_loss: 0.3660 - val_categorical_accuracy: 0.9019 - 365ms/epoch - 7ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9655 - val_loss: 0.4284 - val_categorical_accuracy: 0.8830 - 370ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1556 - categorical_accuracy: 0.9494 - val_loss: 0.3616 - val_categorical_accuracy: 0.9019 - 360ms/epoch - 7ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1265 - categorical_accuracy: 0.9563 - val_loss: 0.7608 - val_categorical_accuracy: 0.8334 - 360ms/epoch - 7ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1341 - categorical_accuracy: 0.9542 - val_loss: 0.3622 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9653 - val_loss: 0.3641 - val_categorical_accuracy: 0.9045 - 460ms/epoch - 9ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1023 - categorical_accuracy: 0.9643 - val_loss: 0.3833 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1031 - categorical_accuracy: 0.9634 - val_loss: 0.4057 - val_categorical_accuracy: 0.8876 - 370ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.2373 - categorical_accuracy: 0.9291 - val_loss: 0.3459 - val_categorical_accuracy: 0.9043 - 370ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9661 - val_loss: 0.3936 - val_categorical_accuracy: 0.8938 - 370ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1145 - categorical_accuracy: 0.9601 - val_loss: 0.3678 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9456 - val_loss: 0.3794 - val_categorical_accuracy: 0.8947 - 420ms/epoch - 9ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9654 - val_loss: 0.4077 - val_categorical_accuracy: 0.8925 - 370ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9653 - val_loss: 0.4445 - val_categorical_accuracy: 0.8817 - 359ms/epoch - 7ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1585 - categorical_accuracy: 0.9469 - val_loss: 0.3690 - val_categorical_accuracy: 0.8983 - 360ms/epoch - 7ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9656 - val_loss: 0.3841 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9646 - val_loss: 0.3904 - val_categorical_accuracy: 0.8990 - 391ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9444 - val_loss: 0.8534 - val_categorical_accuracy: 0.7600 - 439ms/epoch - 9ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.1695 - categorical_accuracy: 0.9462 - val_loss: 0.3654 - val_categorical_accuracy: 0.8995 - 436ms/epoch - 9ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1014 - categorical_accuracy: 0.9651 - val_loss: 0.3774 - val_categorical_accuracy: 0.9008 - 430ms/epoch - 9ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9650 - val_loss: 0.4137 - val_categorical_accuracy: 0.8923 - 360ms/epoch - 7ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9362 - val_loss: 0.3454 - val_categorical_accuracy: 0.9015 - 360ms/epoch - 7ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.0971 - categorical_accuracy: 0.9672 - val_loss: 0.3746 - val_categorical_accuracy: 0.9024 - 360ms/epoch - 7ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1038 - categorical_accuracy: 0.9634 - val_loss: 0.4665 - val_categorical_accuracy: 0.8777 - 360ms/epoch - 7ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1402 - categorical_accuracy: 0.9538 - val_loss: 0.3884 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9661 - val_loss: 0.4250 - val_categorical_accuracy: 0.8918 - 440ms/epoch - 9ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1093 - categorical_accuracy: 0.9621 - val_loss: 0.3838 - val_categorical_accuracy: 0.9057 - 360ms/epoch - 7ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9341 - val_loss: 0.3510 - val_categorical_accuracy: 0.9046 - 360ms/epoch - 7ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1028 - categorical_accuracy: 0.9646 - val_loss: 0.4069 - val_categorical_accuracy: 0.8942 - 360ms/epoch - 7ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1073 - categorical_accuracy: 0.9625 - val_loss: 0.3971 - val_categorical_accuracy: 0.8970 - 360ms/epoch - 7ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9640 - val_loss: 0.3775 - val_categorical_accuracy: 0.9019 - 370ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0961 - categorical_accuracy: 0.9671 - val_loss: 0.4079 - val_categorical_accuracy: 0.8931 - 420ms/epoch - 9ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1658 - categorical_accuracy: 0.9499 - val_loss: 0.3807 - val_categorical_accuracy: 0.8993 - 360ms/epoch - 7ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9668 - val_loss: 0.3882 - val_categorical_accuracy: 0.9025 - 360ms/epoch - 7ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.1798 - categorical_accuracy: 0.9413 - val_loss: 0.3547 - val_categorical_accuracy: 0.9021 - 360ms/epoch - 7ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9668 - val_loss: 0.3854 - val_categorical_accuracy: 0.8986 - 360ms/epoch - 7ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9667 - val_loss: 0.3945 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.6317 - categorical_accuracy: 0.8401 - val_loss: 0.4051 - val_categorical_accuracy: 0.8664 - 444ms/epoch - 9ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9463 - val_loss: 0.3519 - val_categorical_accuracy: 0.8999 - 450ms/epoch - 9ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.1087 - categorical_accuracy: 0.9640 - val_loss: 0.3693 - val_categorical_accuracy: 0.8980 - 420ms/epoch - 9ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1013 - categorical_accuracy: 0.9655 - val_loss: 0.3657 - val_categorical_accuracy: 0.9042 - 360ms/epoch - 7ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9659 - val_loss: 0.3836 - val_categorical_accuracy: 0.8999 - 350ms/epoch - 7ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9548 - val_loss: 0.7132 - val_categorical_accuracy: 0.8168 - 354ms/epoch - 7ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.1365 - categorical_accuracy: 0.9568 - val_loss: 0.3675 - val_categorical_accuracy: 0.9020 - 350ms/epoch - 7ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.0958 - categorical_accuracy: 0.9676 - val_loss: 0.3788 - val_categorical_accuracy: 0.9002 - 350ms/epoch - 7ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.0981 - categorical_accuracy: 0.9654 - val_loss: 0.3933 - val_categorical_accuracy: 0.8978 - 430ms/epoch - 9ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9669 - val_loss: 0.3947 - val_categorical_accuracy: 0.8992 - 360ms/epoch - 7ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.2172 - categorical_accuracy: 0.9321 - val_loss: 0.3490 - val_categorical_accuracy: 0.9022 - 364ms/epoch - 7ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9660 - val_loss: 0.3505 - val_categorical_accuracy: 0.9090 - 356ms/epoch - 7ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9671 - val_loss: 0.3844 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9657 - val_loss: 0.3840 - val_categorical_accuracy: 0.9011 - 370ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9673 - val_loss: 0.4371 - val_categorical_accuracy: 0.8880 - 420ms/epoch - 9ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.1878 - categorical_accuracy: 0.9444 - val_loss: 0.3638 - val_categorical_accuracy: 0.9012 - 360ms/epoch - 7ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9678 - val_loss: 0.3983 - val_categorical_accuracy: 0.8989 - 354ms/epoch - 7ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.1325 - categorical_accuracy: 0.9559 - val_loss: 1.4273 - val_categorical_accuracy: 0.7176 - 360ms/epoch - 7ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.2492 - categorical_accuracy: 0.9331 - val_loss: 0.3560 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9673 - val_loss: 0.3604 - val_categorical_accuracy: 0.9057 - 380ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9666 - val_loss: 0.3817 - val_categorical_accuracy: 0.9002 - 420ms/epoch - 9ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9677 - val_loss: 0.3998 - val_categorical_accuracy: 0.8977 - 360ms/epoch - 7ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.0970 - categorical_accuracy: 0.9654 - val_loss: 0.4193 - val_categorical_accuracy: 0.8954 - 360ms/epoch - 7ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.1015 - categorical_accuracy: 0.9641 - val_loss: 0.4103 - val_categorical_accuracy: 0.8970 - 350ms/epoch - 7ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9650 - val_loss: 0.3980 - val_categorical_accuracy: 0.8973 - 360ms/epoch - 7ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.1770 - categorical_accuracy: 0.9465 - val_loss: 0.3658 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9683 - val_loss: 0.4073 - val_categorical_accuracy: 0.8939 - 454ms/epoch - 9ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9692 - val_loss: 0.4460 - val_categorical_accuracy: 0.8867 - 446ms/epoch - 9ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9454 - val_loss: 0.3697 - val_categorical_accuracy: 0.9031 - 360ms/epoch - 7ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9682 - val_loss: 0.3872 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9682 - val_loss: 0.3895 - val_categorical_accuracy: 0.9011 - 370ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.1047 - categorical_accuracy: 0.9623 - val_loss: 0.4679 - val_categorical_accuracy: 0.8839 - 360ms/epoch - 7ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1236 - categorical_accuracy: 0.9566 - val_loss: 0.4746 - val_categorical_accuracy: 0.8758 - 360ms/epoch - 7ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.1359 - categorical_accuracy: 0.9556 - val_loss: 0.3772 - val_categorical_accuracy: 0.9033 - 430ms/epoch - 9ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9694 - val_loss: 0.4025 - val_categorical_accuracy: 0.8983 - 360ms/epoch - 7ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1414 - categorical_accuracy: 0.9525 - val_loss: 0.6289 - val_categorical_accuracy: 0.8416 - 350ms/epoch - 7ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.1149 - categorical_accuracy: 0.9603 - val_loss: 0.4081 - val_categorical_accuracy: 0.8907 - 360ms/epoch - 7ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0971 - categorical_accuracy: 0.9659 - val_loss: 0.4253 - val_categorical_accuracy: 0.8873 - 354ms/epoch - 7ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9665 - val_loss: 0.5249 - val_categorical_accuracy: 0.8707 - 360ms/epoch - 7ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.1808 - categorical_accuracy: 0.9456 - val_loss: 0.3792 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0892 - categorical_accuracy: 0.9692 - val_loss: 0.3874 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9679 - val_loss: 0.3753 - val_categorical_accuracy: 0.9074 - 370ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9663 - val_loss: 0.4292 - val_categorical_accuracy: 0.8906 - 374ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1882 - categorical_accuracy: 0.9409 - val_loss: 0.4215 - val_categorical_accuracy: 0.8925 - 406ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9685 - val_loss: 0.3915 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9687 - val_loss: 0.4176 - val_categorical_accuracy: 0.8916 - 430ms/epoch - 9ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9677 - val_loss: 0.4064 - val_categorical_accuracy: 0.9003 - 370ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.2073 - categorical_accuracy: 0.9381 - val_loss: 0.3698 - val_categorical_accuracy: 0.9049 - 370ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.4115 - val_categorical_accuracy: 0.8938 - 364ms/epoch - 7ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9680 - val_loss: 0.3930 - val_categorical_accuracy: 0.9010 - 370ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9677 - val_loss: 0.4192 - val_categorical_accuracy: 0.8926 - 370ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1666 - categorical_accuracy: 0.9485 - val_loss: 0.4085 - val_categorical_accuracy: 0.8918 - 430ms/epoch - 9ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9688 - val_loss: 0.4046 - val_categorical_accuracy: 0.8976 - 360ms/epoch - 7ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9679 - val_loss: 0.4251 - val_categorical_accuracy: 0.8946 - 360ms/epoch - 7ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9687 - val_loss: 0.4139 - val_categorical_accuracy: 0.8959 - 410ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9446 - val_loss: 0.3790 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9687 - val_loss: 0.4875 - val_categorical_accuracy: 0.8865 - 390ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9622 - val_loss: 0.3971 - val_categorical_accuracy: 0.9023 - 440ms/epoch - 9ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9698 - val_loss: 0.4364 - val_categorical_accuracy: 0.8925 - 365ms/epoch - 7ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9655 - val_loss: 0.4397 - val_categorical_accuracy: 0.8913 - 370ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9675 - val_loss: 0.4100 - val_categorical_accuracy: 0.9015 - 370ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9693 - val_loss: 0.4013 - val_categorical_accuracy: 0.9066 - 360ms/epoch - 7ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.2541 - categorical_accuracy: 0.9289 - val_loss: 0.3896 - val_categorical_accuracy: 0.8954 - 370ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0944 - categorical_accuracy: 0.9672 - val_loss: 0.3702 - val_categorical_accuracy: 0.9095 - 430ms/epoch - 9ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9693 - val_loss: 0.3932 - val_categorical_accuracy: 0.9012 - 360ms/epoch - 7ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.1269 - categorical_accuracy: 0.9596 - val_loss: 0.7728 - val_categorical_accuracy: 0.8061 - 370ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9564 - val_loss: 0.3866 - val_categorical_accuracy: 0.8989 - 360ms/epoch - 7ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9701 - val_loss: 0.3958 - val_categorical_accuracy: 0.9016 - 360ms/epoch - 7ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9684 - val_loss: 0.4125 - val_categorical_accuracy: 0.8977 - 390ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9689 - val_loss: 0.4152 - val_categorical_accuracy: 0.8952 - 440ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9678 - val_loss: 0.4335 - val_categorical_accuracy: 0.8948 - 420ms/epoch - 9ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9683 - val_loss: 0.4141 - val_categorical_accuracy: 0.9002 - 420ms/epoch - 9ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.1966 - categorical_accuracy: 0.9414 - val_loss: 0.3701 - val_categorical_accuracy: 0.8975 - 430ms/epoch - 9ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9688 - val_loss: 0.3919 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0867 - categorical_accuracy: 0.9699 - val_loss: 0.4044 - val_categorical_accuracy: 0.9016 - 360ms/epoch - 7ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9689 - val_loss: 0.3960 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.2952 - categorical_accuracy: 0.9215 - val_loss: 0.4028 - val_categorical_accuracy: 0.8896 - 370ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9689 - val_loss: 0.3840 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9698 - val_loss: 0.4176 - val_categorical_accuracy: 0.8930 - 420ms/epoch - 9ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0927 - categorical_accuracy: 0.9676 - val_loss: 0.3981 - val_categorical_accuracy: 0.9022 - 370ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9685 - val_loss: 0.3891 - val_categorical_accuracy: 0.9051 - 330ms/epoch - 7ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9708 - val_loss: 0.4186 - val_categorical_accuracy: 0.9012 - 340ms/epoch - 7ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9682 - val_loss: 0.3966 - val_categorical_accuracy: 0.9079 - 330ms/epoch - 7ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9689 - val_loss: 0.4218 - val_categorical_accuracy: 0.8993 - 330ms/epoch - 7ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.2504 - categorical_accuracy: 0.9317 - val_loss: 0.4150 - val_categorical_accuracy: 0.8974 - 370ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9702 - val_loss: 0.3888 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 1s - loss: 0.0856 - categorical_accuracy: 0.9705 - val_loss: 0.3942 - val_categorical_accuracy: 0.9048 - 540ms/epoch - 11ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9687 - val_loss: 0.4108 - val_categorical_accuracy: 0.8956 - 380ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.1024 - categorical_accuracy: 0.9646 - val_loss: 0.8401 - val_categorical_accuracy: 0.8017 - 380ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.1672 - categorical_accuracy: 0.9490 - val_loss: 0.4018 - val_categorical_accuracy: 0.9014 - 374ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9694 - val_loss: 0.3918 - val_categorical_accuracy: 0.9043 - 376ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9697 - val_loss: 0.4329 - val_categorical_accuracy: 0.8966 - 380ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9687 - val_loss: 0.3996 - val_categorical_accuracy: 0.9075 - 380ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9703 - val_loss: 0.4181 - val_categorical_accuracy: 0.9023 - 380ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9705 - val_loss: 0.4238 - val_categorical_accuracy: 0.9002 - 380ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9704 - val_loss: 0.4271 - val_categorical_accuracy: 0.8981 - 394ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.4428 - categorical_accuracy: 0.8907 - val_loss: 0.3673 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9693 - val_loss: 0.3741 - val_categorical_accuracy: 0.9029 - 480ms/epoch - 10ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9704 - val_loss: 0.3867 - val_categorical_accuracy: 0.9042 - 310ms/epoch - 6ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9707 - val_loss: 0.3904 - val_categorical_accuracy: 0.9055 - 310ms/epoch - 6ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9701 - val_loss: 0.4246 - val_categorical_accuracy: 0.8948 - 310ms/epoch - 6ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9702 - val_loss: 0.4438 - val_categorical_accuracy: 0.8957 - 310ms/epoch - 6ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.1573 - categorical_accuracy: 0.9537 - val_loss: 0.3918 - val_categorical_accuracy: 0.9055 - 310ms/epoch - 6ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9705 - val_loss: 0.4268 - val_categorical_accuracy: 0.8938 - 360ms/epoch - 7ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.1239 - categorical_accuracy: 0.9595 - val_loss: 0.4072 - val_categorical_accuracy: 0.9012 - 360ms/epoch - 7ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0867 - categorical_accuracy: 0.9697 - val_loss: 0.4098 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9707 - val_loss: 0.4083 - val_categorical_accuracy: 0.9043 - 370ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9707 - val_loss: 0.4332 - val_categorical_accuracy: 0.8985 - 370ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9691 - val_loss: 0.4271 - val_categorical_accuracy: 0.8949 - 370ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9672 - val_loss: 0.4284 - val_categorical_accuracy: 0.8952 - 380ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9671 - val_loss: 0.4450 - val_categorical_accuracy: 0.8912 - 380ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.0913 - categorical_accuracy: 0.9683 - val_loss: 0.4738 - val_categorical_accuracy: 0.8885 - 480ms/epoch - 10ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.0880 - categorical_accuracy: 0.9690 - val_loss: 0.4080 - val_categorical_accuracy: 0.9048 - 480ms/epoch - 10ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9702 - val_loss: 0.4344 - val_categorical_accuracy: 0.8991 - 320ms/epoch - 7ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9677 - val_loss: 0.4519 - val_categorical_accuracy: 0.8966 - 320ms/epoch - 7ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.2234 - categorical_accuracy: 0.9357 - val_loss: 0.4085 - val_categorical_accuracy: 0.8987 - 320ms/epoch - 7ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9685 - val_loss: 0.4102 - val_categorical_accuracy: 0.9023 - 320ms/epoch - 7ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9718 - val_loss: 0.4463 - val_categorical_accuracy: 0.8936 - 320ms/epoch - 7ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.1765 - categorical_accuracy: 0.9503 - val_loss: 0.3805 - val_categorical_accuracy: 0.9002 - 350ms/epoch - 7ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9705 - val_loss: 0.3932 - val_categorical_accuracy: 0.9055 - 360ms/epoch - 7ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9710 - val_loss: 0.4034 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9720 - val_loss: 0.4277 - val_categorical_accuracy: 0.8944 - 370ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1566 - categorical_accuracy: 0.9496 - val_loss: 0.3949 - val_categorical_accuracy: 0.9025 - 380ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9715 - val_loss: 0.4266 - val_categorical_accuracy: 0.8952 - 380ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9703 - val_loss: 0.4565 - val_categorical_accuracy: 0.8892 - 380ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9689 - val_loss: 0.4464 - val_categorical_accuracy: 0.8949 - 380ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.2314 - categorical_accuracy: 0.9474 - val_loss: 2.5538 - val_categorical_accuracy: 0.5755 - 380ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.2468 - categorical_accuracy: 0.9224 - val_loss: 0.3886 - val_categorical_accuracy: 0.8984 - 380ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9692 - val_loss: 0.3894 - val_categorical_accuracy: 0.9032 - 375ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9713 - val_loss: 0.4179 - val_categorical_accuracy: 0.8949 - 380ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0858 - categorical_accuracy: 0.9699 - val_loss: 0.4003 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.1472 - categorical_accuracy: 0.9524 - val_loss: 0.4288 - val_categorical_accuracy: 0.8939 - 387ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0876 - categorical_accuracy: 0.9694 - val_loss: 0.4032 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9716 - val_loss: 0.4006 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9710 - val_loss: 0.4124 - val_categorical_accuracy: 0.9027 - 385ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9721 - val_loss: 0.4355 - val_categorical_accuracy: 0.8971 - 470ms/epoch - 10ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9702 - val_loss: 0.4389 - val_categorical_accuracy: 0.8936 - 430ms/epoch - 9ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9682 - val_loss: 0.4544 - val_categorical_accuracy: 0.8909 - 380ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.1703 - categorical_accuracy: 0.9473 - val_loss: 0.4165 - val_categorical_accuracy: 0.9010 - 330ms/epoch - 7ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9708 - val_loss: 0.4149 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9712 - val_loss: 0.4082 - val_categorical_accuracy: 0.9063 - 350ms/epoch - 7ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9692 - val_loss: 0.4250 - val_categorical_accuracy: 0.9012 - 340ms/epoch - 7ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0972 - categorical_accuracy: 0.9655 - val_loss: 0.4283 - val_categorical_accuracy: 0.8955 - 370ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9702 - val_loss: 0.4198 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9708 - val_loss: 0.4196 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0994 - categorical_accuracy: 0.9666 - val_loss: 1.3330 - val_categorical_accuracy: 0.8101 - 370ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.1477 - categorical_accuracy: 0.9542 - val_loss: 0.4040 - val_categorical_accuracy: 0.8986 - 370ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9723 - val_loss: 0.4246 - val_categorical_accuracy: 0.9047 - 470ms/epoch - 10ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9708 - val_loss: 0.4179 - val_categorical_accuracy: 0.9046 - 485ms/epoch - 10ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9722 - val_loss: 0.4235 - val_categorical_accuracy: 0.9035 - 350ms/epoch - 7ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9700 - val_loss: 0.4466 - val_categorical_accuracy: 0.9003 - 320ms/epoch - 7ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.2430 - categorical_accuracy: 0.9324 - val_loss: 0.3864 - val_categorical_accuracy: 0.8966 - 320ms/epoch - 7ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9691 - val_loss: 0.4300 - val_categorical_accuracy: 0.8979 - 320ms/epoch - 7ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9705 - val_loss: 0.4311 - val_categorical_accuracy: 0.8979 - 320ms/epoch - 7ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9715 - val_loss: 0.4619 - val_categorical_accuracy: 0.8922 - 330ms/epoch - 7ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.1736 - categorical_accuracy: 0.9485 - val_loss: 0.4326 - val_categorical_accuracy: 0.8967 - 360ms/epoch - 7ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9707 - val_loss: 0.4864 - val_categorical_accuracy: 0.8775 - 370ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9707 - val_loss: 0.4423 - val_categorical_accuracy: 0.8976 - 380ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9718 - val_loss: 0.4280 - val_categorical_accuracy: 0.8966 - 380ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.4117 - val_categorical_accuracy: 0.9041 - 380ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9719 - val_loss: 0.4204 - val_categorical_accuracy: 0.9052 - 382ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9690 - val_loss: 0.4892 - val_categorical_accuracy: 0.8827 - 390ms/epoch - 8ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9712 - val_loss: 0.4468 - val_categorical_accuracy: 0.8981 - 380ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9705 - val_loss: 0.4228 - val_categorical_accuracy: 0.9052 - 420ms/epoch - 9ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.1225 - categorical_accuracy: 0.9608 - val_loss: 1.7623 - val_categorical_accuracy: 0.6608 - 390ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.1897 - categorical_accuracy: 0.9452 - val_loss: 0.4103 - val_categorical_accuracy: 0.8996 - 384ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9730 - val_loss: 0.4368 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9718 - val_loss: 0.4375 - val_categorical_accuracy: 0.9015 - 380ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9717 - val_loss: 0.4769 - val_categorical_accuracy: 0.8917 - 380ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9706 - val_loss: 0.4363 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9717 - val_loss: 0.4197 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9713 - val_loss: 0.4601 - val_categorical_accuracy: 0.8918 - 380ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.3313 - categorical_accuracy: 0.9171 - val_loss: 0.3993 - val_categorical_accuracy: 0.9000 - 370ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9721 - val_loss: 0.4307 - val_categorical_accuracy: 0.8929 - 380ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9711 - val_loss: 0.4351 - val_categorical_accuracy: 0.8996 - 440ms/epoch - 9ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9724 - val_loss: 0.4337 - val_categorical_accuracy: 0.8996 - 370ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 1s - loss: 0.0813 - categorical_accuracy: 0.9713 - val_loss: 0.4148 - val_categorical_accuracy: 0.9077 - 500ms/epoch - 10ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9740 - val_loss: 0.4869 - val_categorical_accuracy: 0.8854 - 320ms/epoch - 7ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.1792 - categorical_accuracy: 0.9464 - val_loss: 0.4001 - val_categorical_accuracy: 0.9053 - 320ms/epoch - 7ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9720 - val_loss: 0.4433 - val_categorical_accuracy: 0.8995 - 330ms/epoch - 7ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9728 - val_loss: 0.4274 - val_categorical_accuracy: 0.8980 - 354ms/epoch - 7ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9725 - val_loss: 0.4781 - val_categorical_accuracy: 0.8941 - 326ms/epoch - 7ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9720 - val_loss: 0.4356 - val_categorical_accuracy: 0.9019 - 330ms/epoch - 7ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9694 - val_loss: 0.4516 - val_categorical_accuracy: 0.8992 - 360ms/epoch - 7ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9712 - val_loss: 0.4639 - val_categorical_accuracy: 0.8919 - 360ms/epoch - 7ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9720 - val_loss: 0.4342 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9724 - val_loss: 0.4366 - val_categorical_accuracy: 0.9046 - 370ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9704 - val_loss: 1.4739 - val_categorical_accuracy: 0.7379 - 380ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.2981 - categorical_accuracy: 0.9264 - val_loss: 0.4178 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9726 - val_loss: 0.4191 - val_categorical_accuracy: 0.9053 - 380ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9738 - val_loss: 0.4218 - val_categorical_accuracy: 0.9051 - 380ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.1497 - categorical_accuracy: 0.9550 - val_loss: 0.4457 - val_categorical_accuracy: 0.8957 - 374ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9733 - val_loss: 0.4108 - val_categorical_accuracy: 0.9079 - 376ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9724 - val_loss: 0.4612 - val_categorical_accuracy: 0.8937 - 380ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9668 - val_loss: 1.5074 - val_categorical_accuracy: 0.7977 - 380ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.1610 - categorical_accuracy: 0.9509 - val_loss: 0.4061 - val_categorical_accuracy: 0.9047 - 380ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9739 - val_loss: 0.4404 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9705 - val_loss: 0.4422 - val_categorical_accuracy: 0.8959 - 380ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9715 - val_loss: 0.4392 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9685 - val_loss: 0.4359 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9705 - val_loss: 0.4689 - val_categorical_accuracy: 0.8966 - 420ms/epoch - 9ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9724 - val_loss: 0.4342 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.1603 - categorical_accuracy: 0.9515 - val_loss: 0.8794 - val_categorical_accuracy: 0.7873 - 390ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.1141 - categorical_accuracy: 0.9614 - val_loss: 0.4072 - val_categorical_accuracy: 0.9049 - 461ms/epoch - 9ms/step
Epoch 776/1500
49/49 - 1s - loss: 0.0783 - categorical_accuracy: 0.9729 - val_loss: 0.4310 - val_categorical_accuracy: 0.9030 - 526ms/epoch - 11ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9728 - val_loss: 0.4314 - val_categorical_accuracy: 0.9019 - 320ms/epoch - 7ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9726 - val_loss: 0.4527 - val_categorical_accuracy: 0.9020 - 320ms/epoch - 7ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9733 - val_loss: 0.4494 - val_categorical_accuracy: 0.8984 - 320ms/epoch - 7ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.2162 - categorical_accuracy: 0.9402 - val_loss: 0.4008 - val_categorical_accuracy: 0.9049 - 320ms/epoch - 7ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9725 - val_loss: 0.4537 - val_categorical_accuracy: 0.8912 - 320ms/epoch - 7ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9726 - val_loss: 0.4353 - val_categorical_accuracy: 0.9015 - 360ms/epoch - 7ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9736 - val_loss: 0.4402 - val_categorical_accuracy: 0.8973 - 440ms/epoch - 9ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9738 - val_loss: 0.4309 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9736 - val_loss: 0.5144 - val_categorical_accuracy: 0.8766 - 460ms/epoch - 9ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.2025 - categorical_accuracy: 0.9446 - val_loss: 0.4095 - val_categorical_accuracy: 0.9027 - 320ms/epoch - 7ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9745 - val_loss: 0.4198 - val_categorical_accuracy: 0.9041 - 320ms/epoch - 7ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9738 - val_loss: 0.4564 - val_categorical_accuracy: 0.9000 - 320ms/epoch - 7ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9718 - val_loss: 0.5018 - val_categorical_accuracy: 0.8854 - 330ms/epoch - 7ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.1918 - categorical_accuracy: 0.9449 - val_loss: 0.4344 - val_categorical_accuracy: 0.8969 - 324ms/epoch - 7ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9739 - val_loss: 0.4425 - val_categorical_accuracy: 0.8958 - 360ms/epoch - 7ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9735 - val_loss: 0.4274 - val_categorical_accuracy: 0.9052 - 430ms/epoch - 9ms/step
Epoch 793/1500
49/49 - 1s - loss: 0.0735 - categorical_accuracy: 0.9741 - val_loss: 0.4941 - val_categorical_accuracy: 0.8888 - 500ms/epoch - 10ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9724 - val_loss: 0.4748 - val_categorical_accuracy: 0.8939 - 350ms/epoch - 7ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9714 - val_loss: 0.4690 - val_categorical_accuracy: 0.9016 - 324ms/epoch - 7ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9706 - val_loss: 0.4429 - val_categorical_accuracy: 0.9049 - 330ms/epoch - 7ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9728 - val_loss: 0.4385 - val_categorical_accuracy: 0.9048 - 340ms/epoch - 7ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9731 - val_loss: 0.4498 - val_categorical_accuracy: 0.8978 - 330ms/epoch - 7ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.2489 - categorical_accuracy: 0.9335 - val_loss: 0.4079 - val_categorical_accuracy: 0.9007 - 370ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9737 - val_loss: 0.4233 - val_categorical_accuracy: 0.9038 - 370ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9747 - val_loss: 0.4239 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9739 - val_loss: 0.4342 - val_categorical_accuracy: 0.9016 - 375ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9744 - val_loss: 0.4434 - val_categorical_accuracy: 0.9028 - 384ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9738 - val_loss: 0.4579 - val_categorical_accuracy: 0.9030 - 374ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9734 - val_loss: 0.4545 - val_categorical_accuracy: 0.8997 - 380ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9738 - val_loss: 0.4383 - val_categorical_accuracy: 0.9028 - 370ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9686 - val_loss: 0.4499 - val_categorical_accuracy: 0.9002 - 380ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9735 - val_loss: 0.4319 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9734 - val_loss: 0.4700 - val_categorical_accuracy: 0.8979 - 394ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9394 - val_loss: 0.4220 - val_categorical_accuracy: 0.8997 - 386ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9745 - val_loss: 0.4485 - val_categorical_accuracy: 0.8982 - 434ms/epoch - 9ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9738 - val_loss: 0.4725 - val_categorical_accuracy: 0.8922 - 470ms/epoch - 10ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9705 - val_loss: 0.4374 - val_categorical_accuracy: 0.9030 - 470ms/epoch - 10ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9734 - val_loss: 0.4494 - val_categorical_accuracy: 0.9047 - 440ms/epoch - 9ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9741 - val_loss: 0.4485 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9712 - val_loss: 0.4488 - val_categorical_accuracy: 0.9048 - 424ms/epoch - 9ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9743 - val_loss: 0.4840 - val_categorical_accuracy: 0.8990 - 430ms/epoch - 9ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9710 - val_loss: 0.4600 - val_categorical_accuracy: 0.9006 - 430ms/epoch - 9ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9725 - val_loss: 0.4848 - val_categorical_accuracy: 0.8975 - 460ms/epoch - 9ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.2371 - categorical_accuracy: 0.9361 - val_loss: 0.4560 - val_categorical_accuracy: 0.8900 - 390ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9728 - val_loss: 0.4151 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9753 - val_loss: 0.4484 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9726 - val_loss: 0.4436 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9752 - val_loss: 0.4568 - val_categorical_accuracy: 0.9029 - 380ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9734 - val_loss: 0.4564 - val_categorical_accuracy: 0.9026 - 385ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9738 - val_loss: 0.4756 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.2162 - categorical_accuracy: 0.9418 - val_loss: 0.4421 - val_categorical_accuracy: 0.8994 - 380ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9736 - val_loss: 0.4331 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9755 - val_loss: 0.4614 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9729 - val_loss: 0.4563 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.1588 - categorical_accuracy: 0.9574 - val_loss: 0.9012 - val_categorical_accuracy: 0.7894 - 384ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.1145 - categorical_accuracy: 0.9614 - val_loss: 0.4223 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9740 - val_loss: 0.4295 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9720 - val_loss: 0.4496 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9741 - val_loss: 0.5007 - val_categorical_accuracy: 0.8897 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.1623 - categorical_accuracy: 0.9524 - val_loss: 0.4217 - val_categorical_accuracy: 0.9059 - 380ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9751 - val_loss: 0.4564 - val_categorical_accuracy: 0.8995 - 430ms/epoch - 9ms/step
Epoch 838/1500
49/49 - 1s - loss: 0.0744 - categorical_accuracy: 0.9735 - val_loss: 0.4258 - val_categorical_accuracy: 0.9096 - 500ms/epoch - 10ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9745 - val_loss: 0.4792 - val_categorical_accuracy: 0.8951 - 340ms/epoch - 7ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.2118 - categorical_accuracy: 0.9396 - val_loss: 0.4175 - val_categorical_accuracy: 0.9038 - 330ms/epoch - 7ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9748 - val_loss: 0.4311 - val_categorical_accuracy: 0.9041 - 325ms/epoch - 7ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9751 - val_loss: 0.4545 - val_categorical_accuracy: 0.8993 - 350ms/epoch - 7ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9743 - val_loss: 0.4342 - val_categorical_accuracy: 0.9038 - 330ms/epoch - 7ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9746 - val_loss: 0.4569 - val_categorical_accuracy: 0.8990 - 370ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9661 - val_loss: 0.4475 - val_categorical_accuracy: 0.9011 - 370ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9751 - val_loss: 0.4539 - val_categorical_accuracy: 0.9028 - 374ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9755 - val_loss: 0.4748 - val_categorical_accuracy: 0.8954 - 376ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9719 - val_loss: 0.4600 - val_categorical_accuracy: 0.9024 - 380ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9734 - val_loss: 0.4611 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9743 - val_loss: 0.4658 - val_categorical_accuracy: 0.8989 - 430ms/epoch - 9ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9738 - val_loss: 0.4673 - val_categorical_accuracy: 0.9029 - 480ms/epoch - 10ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.3193 - categorical_accuracy: 0.9231 - val_loss: 0.4047 - val_categorical_accuracy: 0.8928 - 380ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9687 - val_loss: 0.4157 - val_categorical_accuracy: 0.9044 - 380ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9739 - val_loss: 0.4111 - val_categorical_accuracy: 0.9101 - 460ms/epoch - 9ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9757 - val_loss: 0.4699 - val_categorical_accuracy: 0.8956 - 420ms/epoch - 9ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9751 - val_loss: 0.4610 - val_categorical_accuracy: 0.8942 - 370ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9719 - val_loss: 0.5219 - val_categorical_accuracy: 0.8814 - 360ms/epoch - 7ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9545 - val_loss: 0.4319 - val_categorical_accuracy: 0.9024 - 370ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9753 - val_loss: 0.4411 - val_categorical_accuracy: 0.9003 - 330ms/epoch - 7ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9760 - val_loss: 0.4668 - val_categorical_accuracy: 0.8996 - 360ms/epoch - 7ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9735 - val_loss: 0.4316 - val_categorical_accuracy: 0.9082 - 370ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9743 - val_loss: 0.4488 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9747 - val_loss: 0.4460 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.1618 - categorical_accuracy: 0.9543 - val_loss: 0.4379 - val_categorical_accuracy: 0.8954 - 376ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 1s - loss: 0.0774 - categorical_accuracy: 0.9735 - val_loss: 0.4410 - val_categorical_accuracy: 0.9006 - 510ms/epoch - 10ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9744 - val_loss: 0.4739 - val_categorical_accuracy: 0.8936 - 310ms/epoch - 6ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9752 - val_loss: 0.4682 - val_categorical_accuracy: 0.9002 - 310ms/epoch - 6ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9753 - val_loss: 0.5065 - val_categorical_accuracy: 0.8928 - 310ms/epoch - 6ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9713 - val_loss: 0.4549 - val_categorical_accuracy: 0.9030 - 330ms/epoch - 7ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9745 - val_loss: 0.4675 - val_categorical_accuracy: 0.9023 - 310ms/epoch - 6ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9747 - val_loss: 0.4724 - val_categorical_accuracy: 0.8970 - 460ms/epoch - 9ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.2801 - categorical_accuracy: 0.9314 - val_loss: 0.4000 - val_categorical_accuracy: 0.8927 - 360ms/epoch - 7ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9708 - val_loss: 0.4224 - val_categorical_accuracy: 0.9046 - 325ms/epoch - 7ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9750 - val_loss: 0.4531 - val_categorical_accuracy: 0.8982 - 367ms/epoch - 7ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9742 - val_loss: 0.4333 - val_categorical_accuracy: 0.9047 - 370ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9719 - val_loss: 0.4363 - val_categorical_accuracy: 0.9068 - 440ms/epoch - 9ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9747 - val_loss: 0.4362 - val_categorical_accuracy: 0.9078 - 440ms/epoch - 9ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9744 - val_loss: 0.4997 - val_categorical_accuracy: 0.8887 - 350ms/epoch - 7ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.2011 - categorical_accuracy: 0.9457 - val_loss: 0.4355 - val_categorical_accuracy: 0.9023 - 370ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9756 - val_loss: 0.4535 - val_categorical_accuracy: 0.9035 - 360ms/epoch - 7ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9755 - val_loss: 0.4324 - val_categorical_accuracy: 0.9049 - 374ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9753 - val_loss: 0.4380 - val_categorical_accuracy: 0.9065 - 370ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9754 - val_loss: 0.4653 - val_categorical_accuracy: 0.8964 - 414ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9740 - val_loss: 0.5346 - val_categorical_accuracy: 0.8830 - 370ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9721 - val_loss: 0.4716 - val_categorical_accuracy: 0.8972 - 360ms/epoch - 7ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.1750 - categorical_accuracy: 0.9496 - val_loss: 0.4370 - val_categorical_accuracy: 0.9014 - 360ms/epoch - 7ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9752 - val_loss: 0.4376 - val_categorical_accuracy: 0.9061 - 330ms/epoch - 7ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9761 - val_loss: 0.4644 - val_categorical_accuracy: 0.8987 - 340ms/epoch - 7ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9749 - val_loss: 0.4675 - val_categorical_accuracy: 0.8974 - 403ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9749 - val_loss: 0.4561 - val_categorical_accuracy: 0.9032 - 370ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9757 - val_loss: 0.4949 - val_categorical_accuracy: 0.8990 - 380ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9730 - val_loss: 0.4701 - val_categorical_accuracy: 0.8976 - 370ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9753 - val_loss: 0.4693 - val_categorical_accuracy: 0.9010 - 440ms/epoch - 9ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9736 - val_loss: 0.4896 - val_categorical_accuracy: 0.8976 - 370ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9720 - val_loss: 0.5102 - val_categorical_accuracy: 0.8910 - 440ms/epoch - 9ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9721 - val_loss: 0.5369 - val_categorical_accuracy: 0.8866 - 340ms/epoch - 7ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.1699 - categorical_accuracy: 0.9535 - val_loss: 0.4415 - val_categorical_accuracy: 0.9024 - 330ms/epoch - 7ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9746 - val_loss: 0.4441 - val_categorical_accuracy: 0.9048 - 340ms/epoch - 7ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9735 - val_loss: 0.4831 - val_categorical_accuracy: 0.8916 - 330ms/epoch - 7ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9749 - val_loss: 0.4786 - val_categorical_accuracy: 0.8949 - 324ms/epoch - 7ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9751 - val_loss: 0.6502 - val_categorical_accuracy: 0.8714 - 380ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.2170 - categorical_accuracy: 0.9422 - val_loss: 0.4987 - val_categorical_accuracy: 0.8855 - 370ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9730 - val_loss: 0.4353 - val_categorical_accuracy: 0.9060 - 370ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9770 - val_loss: 0.4564 - val_categorical_accuracy: 0.8990 - 380ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9750 - val_loss: 0.4893 - val_categorical_accuracy: 0.8997 - 385ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9758 - val_loss: 0.4625 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9758 - val_loss: 0.4687 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.1668 - categorical_accuracy: 0.9524 - val_loss: 0.4138 - val_categorical_accuracy: 0.9027 - 380ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 1s - loss: 0.0755 - categorical_accuracy: 0.9732 - val_loss: 0.4521 - val_categorical_accuracy: 0.9015 - 580ms/epoch - 12ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9769 - val_loss: 0.4528 - val_categorical_accuracy: 0.9050 - 420ms/epoch - 9ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9744 - val_loss: 0.4660 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9766 - val_loss: 0.4832 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9735 - val_loss: 0.4690 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9766 - val_loss: 0.4756 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9755 - val_loss: 0.4725 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4769 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.3545 - categorical_accuracy: 0.9147 - val_loss: 0.3880 - val_categorical_accuracy: 0.9024 - 380ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9724 - val_loss: 0.4542 - val_categorical_accuracy: 0.8986 - 380ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9750 - val_loss: 0.4431 - val_categorical_accuracy: 0.9031 - 380ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9761 - val_loss: 0.4361 - val_categorical_accuracy: 0.9093 - 374ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9760 - val_loss: 0.4535 - val_categorical_accuracy: 0.9038 - 380ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9750 - val_loss: 0.5386 - val_categorical_accuracy: 0.8948 - 380ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9752 - val_loss: 0.4774 - val_categorical_accuracy: 0.8995 - 380ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9759 - val_loss: 0.4608 - val_categorical_accuracy: 0.9058 - 380ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9770 - val_loss: 0.4936 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9761 - val_loss: 0.4820 - val_categorical_accuracy: 0.9010 - 380ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9757 - val_loss: 0.4885 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9742 - val_loss: 0.5027 - val_categorical_accuracy: 0.8942 - 380ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.2188 - categorical_accuracy: 0.9434 - val_loss: 0.4327 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9759 - val_loss: 0.4538 - val_categorical_accuracy: 0.9034 - 384ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9758 - val_loss: 0.4703 - val_categorical_accuracy: 0.9034 - 376ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9756 - val_loss: 0.4699 - val_categorical_accuracy: 0.9027 - 380ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9750 - val_loss: 0.4586 - val_categorical_accuracy: 0.9038 - 380ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9745 - val_loss: 0.4618 - val_categorical_accuracy: 0.9069 - 418ms/epoch - 9ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9767 - val_loss: 0.4700 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9742 - val_loss: 0.4770 - val_categorical_accuracy: 0.9037 - 385ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9771 - val_loss: 0.4841 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9752 - val_loss: 0.4808 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9765 - val_loss: 0.4987 - val_categorical_accuracy: 0.8965 - 420ms/epoch - 9ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9758 - val_loss: 0.4737 - val_categorical_accuracy: 0.9010 - 380ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.4410 - categorical_accuracy: 0.9001 - val_loss: 0.4164 - val_categorical_accuracy: 0.8976 - 385ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9728 - val_loss: 0.4724 - val_categorical_accuracy: 0.8908 - 420ms/epoch - 9ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9751 - val_loss: 0.4441 - val_categorical_accuracy: 0.9049 - 380ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9762 - val_loss: 0.5011 - val_categorical_accuracy: 0.8844 - 380ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9729 - val_loss: 0.4561 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 946/1500
49/49 - 1s - loss: 0.0692 - categorical_accuracy: 0.9752 - val_loss: 0.5302 - val_categorical_accuracy: 0.8890 - 524ms/epoch - 11ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.1855 - categorical_accuracy: 0.9491 - val_loss: 0.4365 - val_categorical_accuracy: 0.9011 - 440ms/epoch - 9ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9758 - val_loss: 0.4553 - val_categorical_accuracy: 0.9022 - 360ms/epoch - 7ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9760 - val_loss: 0.4829 - val_categorical_accuracy: 0.8986 - 360ms/epoch - 7ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9768 - val_loss: 0.4786 - val_categorical_accuracy: 0.9001 - 360ms/epoch - 7ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9755 - val_loss: 0.4527 - val_categorical_accuracy: 0.9075 - 360ms/epoch - 7ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9773 - val_loss: 0.4773 - val_categorical_accuracy: 0.9036 - 380ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9738 - val_loss: 0.4893 - val_categorical_accuracy: 0.9000 - 420ms/epoch - 9ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9750 - val_loss: 0.4874 - val_categorical_accuracy: 0.8995 - 360ms/epoch - 7ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9757 - val_loss: 0.4738 - val_categorical_accuracy: 0.9037 - 350ms/epoch - 7ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9760 - val_loss: 0.4883 - val_categorical_accuracy: 0.8966 - 350ms/epoch - 7ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9748 - val_loss: 0.5005 - val_categorical_accuracy: 0.8975 - 360ms/epoch - 7ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.2009 - categorical_accuracy: 0.9473 - val_loss: 0.4583 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9767 - val_loss: 0.4529 - val_categorical_accuracy: 0.9038 - 425ms/epoch - 9ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9757 - val_loss: 0.4624 - val_categorical_accuracy: 0.9054 - 370ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9770 - val_loss: 0.4666 - val_categorical_accuracy: 0.9025 - 364ms/epoch - 7ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9744 - val_loss: 0.4578 - val_categorical_accuracy: 0.9060 - 356ms/epoch - 7ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9761 - val_loss: 0.4736 - val_categorical_accuracy: 0.9038 - 360ms/epoch - 7ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.4875 - val_categorical_accuracy: 0.9007 - 430ms/epoch - 9ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9761 - val_loss: 0.5181 - val_categorical_accuracy: 0.8947 - 440ms/epoch - 9ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9747 - val_loss: 0.4747 - val_categorical_accuracy: 0.9032 - 374ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9751 - val_loss: 0.6108 - val_categorical_accuracy: 0.8799 - 356ms/epoch - 7ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.2060 - categorical_accuracy: 0.9421 - val_loss: 0.4716 - val_categorical_accuracy: 0.8960 - 370ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9754 - val_loss: 0.5009 - val_categorical_accuracy: 0.8964 - 370ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9767 - val_loss: 0.4766 - val_categorical_accuracy: 0.9045 - 380ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9767 - val_loss: 0.4805 - val_categorical_accuracy: 0.9019 - 430ms/epoch - 9ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9758 - val_loss: 0.4629 - val_categorical_accuracy: 0.9060 - 434ms/epoch - 9ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9758 - val_loss: 0.4785 - val_categorical_accuracy: 0.9043 - 450ms/epoch - 9ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9739 - val_loss: 0.4775 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9745 - val_loss: 0.5032 - val_categorical_accuracy: 0.9021 - 360ms/epoch - 7ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9739 - val_loss: 0.5064 - val_categorical_accuracy: 0.8982 - 360ms/epoch - 7ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9757 - val_loss: 0.5027 - val_categorical_accuracy: 0.8999 - 354ms/epoch - 7ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9766 - val_loss: 0.5083 - val_categorical_accuracy: 0.9012 - 370ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9766 - val_loss: 0.4900 - val_categorical_accuracy: 0.9008 - 430ms/epoch - 9ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9762 - val_loss: 0.4823 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9765 - val_loss: 0.5400 - val_categorical_accuracy: 0.8964 - 370ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9705 - val_loss: 0.5963 - val_categorical_accuracy: 0.8814 - 364ms/epoch - 7ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9413 - val_loss: 0.4674 - val_categorical_accuracy: 0.8980 - 360ms/epoch - 7ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9768 - val_loss: 0.4840 - val_categorical_accuracy: 0.9004 - 360ms/epoch - 7ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9772 - val_loss: 0.4926 - val_categorical_accuracy: 0.9020 - 430ms/epoch - 9ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9758 - val_loss: 0.5421 - val_categorical_accuracy: 0.8846 - 380ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.1323 - categorical_accuracy: 0.9583 - val_loss: 0.5014 - val_categorical_accuracy: 0.8975 - 360ms/epoch - 7ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9756 - val_loss: 0.4778 - val_categorical_accuracy: 0.9048 - 370ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9773 - val_loss: 0.4924 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9769 - val_loss: 0.4878 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9767 - val_loss: 0.4811 - val_categorical_accuracy: 0.9061 - 430ms/epoch - 9ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9772 - val_loss: 0.4895 - val_categorical_accuracy: 0.9032 - 360ms/epoch - 7ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9769 - val_loss: 0.5414 - val_categorical_accuracy: 0.8917 - 360ms/epoch - 7ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9721 - val_loss: 0.5028 - val_categorical_accuracy: 0.9019 - 360ms/epoch - 7ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9771 - val_loss: 0.4813 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9768 - val_loss: 0.5363 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9737 - val_loss: 0.4928 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9757 - val_loss: 0.5240 - val_categorical_accuracy: 0.8966 - 360ms/epoch - 7ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.3836 - categorical_accuracy: 0.9073 - val_loss: 0.4209 - val_categorical_accuracy: 0.9006 - 360ms/epoch - 7ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9740 - val_loss: 0.4481 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9767 - val_loss: 0.4622 - val_categorical_accuracy: 0.9045 - 430ms/epoch - 9ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9772 - val_loss: 0.4964 - val_categorical_accuracy: 0.8943 - 410ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9766 - val_loss: 0.5541 - val_categorical_accuracy: 0.8848 - 360ms/epoch - 7ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.2003 - categorical_accuracy: 0.9468 - val_loss: 0.4761 - val_categorical_accuracy: 0.8992 - 360ms/epoch - 7ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9764 - val_loss: 0.4792 - val_categorical_accuracy: 0.9041 - 360ms/epoch - 7ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9777 - val_loss: 0.4548 - val_categorical_accuracy: 0.9081 - 330ms/epoch - 7ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9774 - val_loss: 0.4948 - val_categorical_accuracy: 0.8972 - 330ms/epoch - 7ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.1663 - categorical_accuracy: 0.9518 - val_loss: 0.4730 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9775 - val_loss: 0.5043 - val_categorical_accuracy: 0.8999 - 397ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9755 - val_loss: 0.5063 - val_categorical_accuracy: 0.8929 - 370ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9770 - val_loss: 0.4675 - val_categorical_accuracy: 0.9053 - 380ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9781 - val_loss: 0.4711 - val_categorical_accuracy: 0.9042 - 380ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9750 - val_loss: 0.4714 - val_categorical_accuracy: 0.9049 - 410ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9771 - val_loss: 0.5068 - val_categorical_accuracy: 0.8945 - 380ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9767 - val_loss: 0.4869 - val_categorical_accuracy: 0.9027 - 380ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9583 - val_loss: 0.5486 - val_categorical_accuracy: 0.8746 - 488ms/epoch - 10ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9730 - val_loss: 0.4602 - val_categorical_accuracy: 0.9045 - 450ms/epoch - 9ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9778 - val_loss: 0.4765 - val_categorical_accuracy: 0.9003 - 327ms/epoch - 7ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9768 - val_loss: 0.4928 - val_categorical_accuracy: 0.9022 - 320ms/epoch - 7ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9751 - val_loss: 0.4997 - val_categorical_accuracy: 0.8961 - 341ms/epoch - 7ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9767 - val_loss: 0.5243 - val_categorical_accuracy: 0.8952 - 320ms/epoch - 7ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9748 - val_loss: 0.4749 - val_categorical_accuracy: 0.9050 - 324ms/epoch - 7ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9771 - val_loss: 0.4976 - val_categorical_accuracy: 0.9018 - 430ms/epoch - 9ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.5038 - val_categorical_accuracy: 0.9023 - 350ms/epoch - 7ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9762 - val_loss: 0.5296 - val_categorical_accuracy: 0.8949 - 384ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9751 - val_loss: 0.4986 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.5144 - val_categorical_accuracy: 0.9024 - 330ms/epoch - 7ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9704 - val_loss: 0.5169 - val_categorical_accuracy: 0.8959 - 330ms/epoch - 7ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9769 - val_loss: 0.5432 - val_categorical_accuracy: 0.8880 - 330ms/epoch - 7ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.1743 - categorical_accuracy: 0.9527 - val_loss: 0.4654 - val_categorical_accuracy: 0.9067 - 330ms/epoch - 7ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9777 - val_loss: 0.4713 - val_categorical_accuracy: 0.9042 - 340ms/epoch - 7ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9791 - val_loss: 0.4881 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9781 - val_loss: 0.5229 - val_categorical_accuracy: 0.8992 - 380ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9772 - val_loss: 0.5031 - val_categorical_accuracy: 0.8976 - 450ms/epoch - 9ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.1949 - categorical_accuracy: 0.9478 - val_loss: 0.4634 - val_categorical_accuracy: 0.9054 - 430ms/epoch - 9ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9775 - val_loss: 0.4724 - val_categorical_accuracy: 0.9031 - 410ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9785 - val_loss: 0.4671 - val_categorical_accuracy: 0.9073 - 450ms/epoch - 9ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9788 - val_loss: 0.4836 - val_categorical_accuracy: 0.9048 - 354ms/epoch - 7ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9776 - val_loss: 0.5167 - val_categorical_accuracy: 0.8981 - 330ms/epoch - 7ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9753 - val_loss: 0.4992 - val_categorical_accuracy: 0.9015 - 320ms/epoch - 7ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9782 - val_loss: 0.5620 - val_categorical_accuracy: 0.8839 - 350ms/epoch - 7ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9744 - val_loss: 0.5007 - val_categorical_accuracy: 0.9007 - 340ms/epoch - 7ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9776 - val_loss: 0.5001 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9780 - val_loss: 0.5159 - val_categorical_accuracy: 0.8963 - 380ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9767 - val_loss: 0.5368 - val_categorical_accuracy: 0.8940 - 450ms/epoch - 9ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.5278 - val_categorical_accuracy: 0.8980 - 430ms/epoch - 9ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.1363 - categorical_accuracy: 0.9605 - val_loss: 0.5017 - val_categorical_accuracy: 0.8977 - 440ms/epoch - 9ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9767 - val_loss: 0.4779 - val_categorical_accuracy: 0.9070 - 360ms/epoch - 7ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9773 - val_loss: 0.5443 - val_categorical_accuracy: 0.8948 - 360ms/epoch - 7ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9760 - val_loss: 0.5114 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9767 - val_loss: 0.5023 - val_categorical_accuracy: 0.9004 - 380ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9763 - val_loss: 0.4926 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9745 - val_loss: 0.5086 - val_categorical_accuracy: 0.9031 - 440ms/epoch - 9ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9776 - val_loss: 0.5133 - val_categorical_accuracy: 0.9020 - 340ms/epoch - 7ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9767 - val_loss: 0.5629 - val_categorical_accuracy: 0.8953 - 350ms/epoch - 7ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9765 - val_loss: 0.5453 - val_categorical_accuracy: 0.8990 - 350ms/epoch - 7ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9734 - val_loss: 0.5115 - val_categorical_accuracy: 0.9047 - 340ms/epoch - 7ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9777 - val_loss: 0.5679 - val_categorical_accuracy: 0.8893 - 360ms/epoch - 7ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.4787 - categorical_accuracy: 0.8924 - val_loss: 0.4370 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9744 - val_loss: 0.4553 - val_categorical_accuracy: 0.9046 - 360ms/epoch - 7ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9779 - val_loss: 0.4749 - val_categorical_accuracy: 0.9055 - 370ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9786 - val_loss: 0.4784 - val_categorical_accuracy: 0.9065 - 370ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9788 - val_loss: 0.4912 - val_categorical_accuracy: 0.9048 - 370ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9778 - val_loss: 0.4947 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9780 - val_loss: 0.5077 - val_categorical_accuracy: 0.9020 - 480ms/epoch - 10ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9773 - val_loss: 0.5535 - val_categorical_accuracy: 0.8928 - 370ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.4889 - val_categorical_accuracy: 0.9075 - 340ms/epoch - 7ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9791 - val_loss: 0.5286 - val_categorical_accuracy: 0.9003 - 340ms/epoch - 7ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9760 - val_loss: 0.5035 - val_categorical_accuracy: 0.9062 - 360ms/epoch - 7ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9771 - val_loss: 0.5283 - val_categorical_accuracy: 0.9014 - 370ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9774 - val_loss: 0.5178 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9773 - val_loss: 0.5044 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9578 - val_loss: 0.5485 - val_categorical_accuracy: 0.8745 - 358ms/epoch - 7ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9733 - val_loss: 0.4883 - val_categorical_accuracy: 0.9050 - 370ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9791 - val_loss: 0.5193 - val_categorical_accuracy: 0.8942 - 350ms/epoch - 7ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.1352 - categorical_accuracy: 0.9585 - val_loss: 0.5072 - val_categorical_accuracy: 0.8989 - 380ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9748 - val_loss: 0.5147 - val_categorical_accuracy: 0.8978 - 430ms/epoch - 9ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9762 - val_loss: 0.4882 - val_categorical_accuracy: 0.9091 - 360ms/epoch - 7ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9789 - val_loss: 0.4850 - val_categorical_accuracy: 0.9064 - 360ms/epoch - 7ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9770 - val_loss: 0.4834 - val_categorical_accuracy: 0.9081 - 360ms/epoch - 7ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9760 - val_loss: 0.5109 - val_categorical_accuracy: 0.8979 - 350ms/epoch - 7ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9763 - val_loss: 0.4819 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.5444 - val_categorical_accuracy: 0.8916 - 440ms/epoch - 9ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9774 - val_loss: 0.5170 - val_categorical_accuracy: 0.9032 - 470ms/epoch - 10ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9784 - val_loss: 0.4943 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9781 - val_loss: 0.5621 - val_categorical_accuracy: 0.8964 - 370ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9775 - val_loss: 0.5376 - val_categorical_accuracy: 0.9008 - 350ms/epoch - 7ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9729 - val_loss: 0.7800 - val_categorical_accuracy: 0.8441 - 354ms/epoch - 7ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.2058 - categorical_accuracy: 0.9461 - val_loss: 0.4726 - val_categorical_accuracy: 0.9040 - 360ms/epoch - 7ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9778 - val_loss: 0.5198 - val_categorical_accuracy: 0.8970 - 420ms/epoch - 9ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9769 - val_loss: 0.5276 - val_categorical_accuracy: 0.8939 - 360ms/epoch - 7ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9793 - val_loss: 0.4935 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9788 - val_loss: 0.5997 - val_categorical_accuracy: 0.8894 - 360ms/epoch - 7ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9563 - val_loss: 0.4850 - val_categorical_accuracy: 0.9052 - 354ms/epoch - 7ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9787 - val_loss: 0.4936 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9774 - val_loss: 0.5446 - val_categorical_accuracy: 0.8931 - 420ms/epoch - 9ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.1813 - categorical_accuracy: 0.9510 - val_loss: 0.4464 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9777 - val_loss: 0.4752 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.4753 - val_categorical_accuracy: 0.9053 - 364ms/epoch - 7ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9784 - val_loss: 0.4892 - val_categorical_accuracy: 0.9031 - 370ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.4928 - val_categorical_accuracy: 0.9058 - 420ms/epoch - 9ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9788 - val_loss: 0.5042 - val_categorical_accuracy: 0.9047 - 460ms/epoch - 9ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9779 - val_loss: 0.5316 - val_categorical_accuracy: 0.8980 - 360ms/epoch - 7ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9771 - val_loss: 0.5398 - val_categorical_accuracy: 0.8981 - 374ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9777 - val_loss: 0.5132 - val_categorical_accuracy: 0.9022 - 320ms/epoch - 7ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9731 - val_loss: 4.9105 - val_categorical_accuracy: 0.6341 - 320ms/epoch - 7ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.4103 - categorical_accuracy: 0.9058 - val_loss: 0.4428 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9749 - val_loss: 0.4651 - val_categorical_accuracy: 0.9014 - 370ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9776 - val_loss: 0.4882 - val_categorical_accuracy: 0.8994 - 430ms/epoch - 9ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9786 - val_loss: 0.4981 - val_categorical_accuracy: 0.9014 - 324ms/epoch - 7ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9775 - val_loss: 0.4947 - val_categorical_accuracy: 0.9026 - 330ms/epoch - 7ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.4987 - val_categorical_accuracy: 0.9022 - 330ms/epoch - 7ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9795 - val_loss: 0.4821 - val_categorical_accuracy: 0.9079 - 330ms/epoch - 7ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9786 - val_loss: 0.4798 - val_categorical_accuracy: 0.9067 - 330ms/epoch - 7ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9786 - val_loss: 0.5427 - val_categorical_accuracy: 0.8939 - 370ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9789 - val_loss: 0.5253 - val_categorical_accuracy: 0.8992 - 374ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9771 - val_loss: 0.5299 - val_categorical_accuracy: 0.8974 - 380ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9775 - val_loss: 0.5359 - val_categorical_accuracy: 0.8998 - 374ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.5038 - val_categorical_accuracy: 0.9074 - 380ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.5149 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9783 - val_loss: 0.5141 - val_categorical_accuracy: 0.9028 - 385ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9777 - val_loss: 0.5167 - val_categorical_accuracy: 0.9050 - 440ms/epoch - 9ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9785 - val_loss: 0.5185 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9788 - val_loss: 0.5489 - val_categorical_accuracy: 0.8999 - 450ms/epoch - 9ms/step
Epoch 1125/1500
49/49 - 1s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.5442 - val_categorical_accuracy: 0.9011 - 514ms/epoch - 10ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.1339 - categorical_accuracy: 0.9632 - val_loss: 1.8528 - val_categorical_accuracy: 0.6513 - 320ms/epoch - 7ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.1713 - categorical_accuracy: 0.9481 - val_loss: 0.4765 - val_categorical_accuracy: 0.9017 - 310ms/epoch - 6ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.5077 - val_categorical_accuracy: 0.9034 - 320ms/epoch - 7ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9785 - val_loss: 0.5159 - val_categorical_accuracy: 0.8975 - 320ms/epoch - 7ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9786 - val_loss: 0.5272 - val_categorical_accuracy: 0.8975 - 320ms/epoch - 7ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9778 - val_loss: 0.5203 - val_categorical_accuracy: 0.9024 - 364ms/epoch - 7ms/step
Epoch 1132/1500
49/49 - 1s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.5223 - val_categorical_accuracy: 0.9040 - 536ms/epoch - 11ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9786 - val_loss: 0.5349 - val_categorical_accuracy: 0.9014 - 380ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9787 - val_loss: 0.5312 - val_categorical_accuracy: 0.9014 - 380ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9784 - val_loss: 0.5194 - val_categorical_accuracy: 0.9027 - 380ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9794 - val_loss: 0.5197 - val_categorical_accuracy: 0.9066 - 384ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9786 - val_loss: 0.5334 - val_categorical_accuracy: 0.9030 - 426ms/epoch - 9ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9764 - val_loss: 0.5646 - val_categorical_accuracy: 0.8936 - 380ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.3196 - categorical_accuracy: 0.9246 - val_loss: 0.4590 - val_categorical_accuracy: 0.9026 - 490ms/epoch - 10ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9776 - val_loss: 0.4722 - val_categorical_accuracy: 0.9065 - 450ms/epoch - 9ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9785 - val_loss: 0.4782 - val_categorical_accuracy: 0.9052 - 364ms/epoch - 7ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9796 - val_loss: 0.5381 - val_categorical_accuracy: 0.8902 - 360ms/epoch - 7ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9779 - val_loss: 0.5113 - val_categorical_accuracy: 0.8992 - 360ms/epoch - 7ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9780 - val_loss: 0.5055 - val_categorical_accuracy: 0.9030 - 370ms/epoch - 8ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9790 - val_loss: 0.5357 - val_categorical_accuracy: 0.9021 - 380ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9783 - val_loss: 0.6084 - val_categorical_accuracy: 0.8861 - 444ms/epoch - 9ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9738 - val_loss: 0.5277 - val_categorical_accuracy: 0.8980 - 440ms/epoch - 9ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9788 - val_loss: 0.5554 - val_categorical_accuracy: 0.8972 - 430ms/epoch - 9ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.5115 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9787 - val_loss: 0.5270 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9800 - val_loss: 0.5212 - val_categorical_accuracy: 0.9049 - 360ms/epoch - 7ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9771 - val_loss: 0.5282 - val_categorical_accuracy: 0.9042 - 360ms/epoch - 7ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9781 - val_loss: 0.5730 - val_categorical_accuracy: 0.8939 - 360ms/epoch - 7ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9403 - val_loss: 0.4987 - val_categorical_accuracy: 0.8969 - 420ms/epoch - 9ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9765 - val_loss: 0.4857 - val_categorical_accuracy: 0.9052 - 370ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9534 - val_loss: 0.4605 - val_categorical_accuracy: 0.9010 - 380ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9781 - val_loss: 0.4890 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9787 - val_loss: 0.4858 - val_categorical_accuracy: 0.9047 - 370ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9796 - val_loss: 0.4966 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9800 - val_loss: 0.5043 - val_categorical_accuracy: 0.9042 - 480ms/epoch - 10ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9795 - val_loss: 0.5176 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9768 - val_loss: 0.5369 - val_categorical_accuracy: 0.8980 - 364ms/epoch - 7ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9788 - val_loss: 0.5174 - val_categorical_accuracy: 0.9053 - 360ms/epoch - 7ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9787 - val_loss: 0.5141 - val_categorical_accuracy: 0.9030 - 380ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9796 - val_loss: 0.5069 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9787 - val_loss: 0.5213 - val_categorical_accuracy: 0.9029 - 370ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.2699 - categorical_accuracy: 0.9347 - val_loss: 0.4562 - val_categorical_accuracy: 0.8938 - 420ms/epoch - 9ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9765 - val_loss: 0.4609 - val_categorical_accuracy: 0.9070 - 360ms/epoch - 7ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9786 - val_loss: 0.5070 - val_categorical_accuracy: 0.8961 - 360ms/epoch - 7ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9763 - val_loss: 0.5032 - val_categorical_accuracy: 0.9003 - 370ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9794 - val_loss: 0.5127 - val_categorical_accuracy: 0.8987 - 370ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9769 - val_loss: 0.5068 - val_categorical_accuracy: 0.9061 - 364ms/epoch - 7ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9794 - val_loss: 0.5052 - val_categorical_accuracy: 0.9056 - 427ms/epoch - 9ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9796 - val_loss: 0.5198 - val_categorical_accuracy: 0.9018 - 354ms/epoch - 7ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9768 - val_loss: 0.5145 - val_categorical_accuracy: 0.9050 - 350ms/epoch - 7ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9778 - val_loss: 0.5167 - val_categorical_accuracy: 0.9041 - 350ms/epoch - 7ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9796 - val_loss: 0.5420 - val_categorical_accuracy: 0.9008 - 360ms/epoch - 7ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9787 - val_loss: 0.5232 - val_categorical_accuracy: 0.9008 - 360ms/epoch - 7ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9787 - val_loss: 0.5254 - val_categorical_accuracy: 0.9026 - 430ms/epoch - 9ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.5325 - val_categorical_accuracy: 0.9030 - 354ms/epoch - 7ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9788 - val_loss: 0.5563 - val_categorical_accuracy: 0.8978 - 360ms/epoch - 7ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.1864 - categorical_accuracy: 0.9502 - val_loss: 0.4958 - val_categorical_accuracy: 0.8996 - 360ms/epoch - 7ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9783 - val_loss: 0.5622 - val_categorical_accuracy: 0.8871 - 354ms/epoch - 7ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9781 - val_loss: 0.5505 - val_categorical_accuracy: 0.8920 - 366ms/epoch - 7ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9776 - val_loss: 0.5154 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9790 - val_loss: 0.5335 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9793 - val_loss: 0.5315 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9765 - val_loss: 1.3128 - val_categorical_accuracy: 0.7882 - 370ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.1996 - categorical_accuracy: 0.9480 - val_loss: 0.4755 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 1s - loss: 0.0581 - categorical_accuracy: 0.9797 - val_loss: 0.5081 - val_categorical_accuracy: 0.8998 - 530ms/epoch - 11ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.5020 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9789 - val_loss: 0.5472 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9792 - val_loss: 0.5480 - val_categorical_accuracy: 0.8993 - 425ms/epoch - 9ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9780 - val_loss: 0.5409 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.5323 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9780 - val_loss: 0.5664 - val_categorical_accuracy: 0.8986 - 394ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9774 - val_loss: 0.5286 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9778 - val_loss: 0.5485 - val_categorical_accuracy: 0.8989 - 454ms/epoch - 9ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.2326 - categorical_accuracy: 0.9413 - val_loss: 0.4861 - val_categorical_accuracy: 0.8987 - 350ms/epoch - 7ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9781 - val_loss: 0.4895 - val_categorical_accuracy: 0.9029 - 360ms/epoch - 7ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9793 - val_loss: 0.5358 - val_categorical_accuracy: 0.8981 - 350ms/epoch - 7ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9786 - val_loss: 0.5018 - val_categorical_accuracy: 0.9060 - 360ms/epoch - 7ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9802 - val_loss: 0.5223 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9797 - val_loss: 0.5325 - val_categorical_accuracy: 0.9010 - 480ms/epoch - 10ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9778 - val_loss: 0.5099 - val_categorical_accuracy: 0.9071 - 340ms/epoch - 7ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9795 - val_loss: 0.6033 - val_categorical_accuracy: 0.8895 - 320ms/epoch - 7ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9776 - val_loss: 0.6080 - val_categorical_accuracy: 0.8878 - 320ms/epoch - 7ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9778 - val_loss: 0.5568 - val_categorical_accuracy: 0.9020 - 340ms/epoch - 7ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9787 - val_loss: 0.5522 - val_categorical_accuracy: 0.8996 - 364ms/epoch - 7ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9785 - val_loss: 0.5237 - val_categorical_accuracy: 0.9056 - 380ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9788 - val_loss: 0.5446 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5586 - val_categorical_accuracy: 0.8994 - 380ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9774 - val_loss: 0.5263 - val_categorical_accuracy: 0.9071 - 420ms/epoch - 9ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.5540 - val_categorical_accuracy: 0.8991 - 364ms/epoch - 7ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.5446 - val_categorical_accuracy: 0.9068 - 376ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.5445 - val_categorical_accuracy: 0.9059 - 370ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5382 - val_categorical_accuracy: 0.9056 - 380ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9791 - val_loss: 0.5419 - val_categorical_accuracy: 0.9033 - 380ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 1s - loss: 0.0613 - categorical_accuracy: 0.9778 - val_loss: 0.5442 - val_categorical_accuracy: 0.9014 - 540ms/epoch - 11ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9750 - val_loss: 0.5513 - val_categorical_accuracy: 0.9000 - 460ms/epoch - 9ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9789 - val_loss: 0.5296 - val_categorical_accuracy: 0.9052 - 430ms/epoch - 9ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.5600 - val_categorical_accuracy: 0.8972 - 370ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5580 - val_categorical_accuracy: 0.9057 - 370ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9774 - val_loss: 0.5458 - val_categorical_accuracy: 0.9024 - 360ms/epoch - 7ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9784 - val_loss: 0.5464 - val_categorical_accuracy: 0.9060 - 370ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.5814 - val_categorical_accuracy: 0.8941 - 420ms/epoch - 9ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9750 - val_loss: 0.6223 - val_categorical_accuracy: 0.8891 - 360ms/epoch - 7ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.2356 - categorical_accuracy: 0.9438 - val_loss: 0.4856 - val_categorical_accuracy: 0.9045 - 360ms/epoch - 7ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9800 - val_loss: 0.5181 - val_categorical_accuracy: 0.9045 - 360ms/epoch - 7ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9800 - val_loss: 0.5541 - val_categorical_accuracy: 0.9002 - 360ms/epoch - 7ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9791 - val_loss: 0.5144 - val_categorical_accuracy: 0.9080 - 380ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9812 - val_loss: 0.5363 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9765 - val_loss: 0.5759 - val_categorical_accuracy: 0.8946 - 360ms/epoch - 7ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9773 - val_loss: 0.5386 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9794 - val_loss: 0.5507 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9723 - val_loss: 0.5335 - val_categorical_accuracy: 0.9050 - 360ms/epoch - 7ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9783 - val_loss: 0.6442 - val_categorical_accuracy: 0.8806 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.2122 - categorical_accuracy: 0.9403 - val_loss: 0.5013 - val_categorical_accuracy: 0.9028 - 450ms/epoch - 9ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9790 - val_loss: 0.5017 - val_categorical_accuracy: 0.9061 - 430ms/epoch - 9ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.5288 - val_categorical_accuracy: 0.8993 - 360ms/epoch - 7ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9799 - val_loss: 0.5196 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5308 - val_categorical_accuracy: 0.9030 - 350ms/epoch - 7ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9780 - val_loss: 0.5223 - val_categorical_accuracy: 0.9041 - 370ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5607 - val_categorical_accuracy: 0.9022 - 370ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5535 - val_categorical_accuracy: 0.9037 - 430ms/epoch - 9ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5657 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9792 - val_loss: 0.5642 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9788 - val_loss: 0.5749 - val_categorical_accuracy: 0.8974 - 350ms/epoch - 7ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.5983 - val_categorical_accuracy: 0.8932 - 360ms/epoch - 7ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.5424 - val_categorical_accuracy: 0.9050 - 370ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9805 - val_loss: 0.5493 - val_categorical_accuracy: 0.9028 - 415ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9782 - val_loss: 0.6041 - val_categorical_accuracy: 0.8955 - 370ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.5420 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9784 - val_loss: 0.5578 - val_categorical_accuracy: 0.9025 - 360ms/epoch - 7ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9787 - val_loss: 0.5589 - val_categorical_accuracy: 0.9047 - 360ms/epoch - 7ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9796 - val_loss: 0.5572 - val_categorical_accuracy: 0.9042 - 394ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9796 - val_loss: 0.5517 - val_categorical_accuracy: 0.9030 - 440ms/epoch - 9ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9805 - val_loss: 0.5410 - val_categorical_accuracy: 0.9068 - 450ms/epoch - 9ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9798 - val_loss: 0.5676 - val_categorical_accuracy: 0.9035 - 420ms/epoch - 9ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9784 - val_loss: 0.6022 - val_categorical_accuracy: 0.9021 - 360ms/epoch - 7ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.5658 - categorical_accuracy: 0.8665 - val_loss: 0.4684 - val_categorical_accuracy: 0.8844 - 360ms/epoch - 7ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9694 - val_loss: 0.4782 - val_categorical_accuracy: 0.8983 - 360ms/epoch - 7ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9775 - val_loss: 0.4740 - val_categorical_accuracy: 0.9074 - 360ms/epoch - 7ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9797 - val_loss: 0.5017 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9800 - val_loss: 0.5069 - val_categorical_accuracy: 0.9067 - 410ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9805 - val_loss: 0.5360 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9793 - val_loss: 0.5591 - val_categorical_accuracy: 0.8951 - 352ms/epoch - 7ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9789 - val_loss: 0.5238 - val_categorical_accuracy: 0.9057 - 360ms/epoch - 7ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9786 - val_loss: 0.5448 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9793 - val_loss: 0.5247 - val_categorical_accuracy: 0.9052 - 380ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9803 - val_loss: 0.5609 - val_categorical_accuracy: 0.8981 - 430ms/epoch - 9ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.5233 - val_categorical_accuracy: 0.9071 - 360ms/epoch - 7ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.5595 - val_categorical_accuracy: 0.9022 - 360ms/epoch - 7ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.5393 - val_categorical_accuracy: 0.9045 - 360ms/epoch - 7ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9800 - val_loss: 0.5507 - val_categorical_accuracy: 0.9020 - 364ms/epoch - 7ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9788 - val_loss: 0.5837 - val_categorical_accuracy: 0.8941 - 400ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9790 - val_loss: 0.5596 - val_categorical_accuracy: 0.9009 - 475ms/epoch - 10ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9804 - val_loss: 0.5552 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9801 - val_loss: 0.5555 - val_categorical_accuracy: 0.9017 - 360ms/epoch - 7ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5996 - val_categorical_accuracy: 0.8943 - 370ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.1566 - categorical_accuracy: 0.9570 - val_loss: 0.5036 - val_categorical_accuracy: 0.9069 - 360ms/epoch - 7ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9807 - val_loss: 0.5384 - val_categorical_accuracy: 0.9043 - 374ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5273 - val_categorical_accuracy: 0.9090 - 440ms/epoch - 9ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9800 - val_loss: 0.5514 - val_categorical_accuracy: 0.9040 - 440ms/epoch - 9ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9803 - val_loss: 0.5512 - val_categorical_accuracy: 0.9020 - 440ms/epoch - 9ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9554 - val_loss: 0.5073 - val_categorical_accuracy: 0.9047 - 370ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9801 - val_loss: 0.5628 - val_categorical_accuracy: 0.8986 - 364ms/epoch - 7ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9791 - val_loss: 0.5240 - val_categorical_accuracy: 0.9049 - 360ms/epoch - 7ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5547 - val_categorical_accuracy: 0.9015 - 360ms/epoch - 7ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5558 - val_categorical_accuracy: 0.9021 - 360ms/epoch - 7ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9793 - val_loss: 0.5392 - val_categorical_accuracy: 0.9045 - 450ms/epoch - 9ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9801 - val_loss: 0.5619 - val_categorical_accuracy: 0.9024 - 340ms/epoch - 7ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9793 - val_loss: 0.5887 - val_categorical_accuracy: 0.8948 - 354ms/epoch - 7ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9795 - val_loss: 0.5699 - val_categorical_accuracy: 0.9008 - 350ms/epoch - 7ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5413 - val_categorical_accuracy: 0.9051 - 340ms/epoch - 7ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9794 - val_loss: 0.5681 - val_categorical_accuracy: 0.9049 - 360ms/epoch - 7ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9793 - val_loss: 0.6325 - val_categorical_accuracy: 0.8857 - 380ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.2657 - categorical_accuracy: 0.9348 - val_loss: 0.5033 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9795 - val_loss: 0.4985 - val_categorical_accuracy: 0.9083 - 370ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9804 - val_loss: 0.5242 - val_categorical_accuracy: 0.9049 - 360ms/epoch - 7ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9807 - val_loss: 0.5348 - val_categorical_accuracy: 0.9068 - 370ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9809 - val_loss: 0.5460 - val_categorical_accuracy: 0.9034 - 370ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9808 - val_loss: 0.5538 - val_categorical_accuracy: 0.9054 - 370ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9807 - val_loss: 0.5502 - val_categorical_accuracy: 0.9033 - 428ms/epoch - 9ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9803 - val_loss: 0.5289 - val_categorical_accuracy: 0.9090 - 360ms/epoch - 7ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9781 - val_loss: 0.5608 - val_categorical_accuracy: 0.9025 - 360ms/epoch - 7ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.5595 - val_categorical_accuracy: 0.9026 - 360ms/epoch - 7ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9795 - val_loss: 0.5630 - val_categorical_accuracy: 0.9046 - 360ms/epoch - 7ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9792 - val_loss: 0.6211 - val_categorical_accuracy: 0.8862 - 385ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9764 - val_loss: 0.6407 - val_categorical_accuracy: 0.8811 - 420ms/epoch - 9ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9754 - val_loss: 0.5498 - val_categorical_accuracy: 0.9050 - 370ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.6013 - val_categorical_accuracy: 0.8952 - 380ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9795 - val_loss: 0.5568 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9805 - val_loss: 0.5636 - val_categorical_accuracy: 0.9050 - 364ms/epoch - 7ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9796 - val_loss: 0.5573 - val_categorical_accuracy: 0.9051 - 440ms/epoch - 9ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9800 - val_loss: 0.5593 - val_categorical_accuracy: 0.9054 - 360ms/epoch - 7ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9783 - val_loss: 0.5886 - val_categorical_accuracy: 0.8980 - 360ms/epoch - 7ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.3038 - categorical_accuracy: 0.9286 - val_loss: 0.5029 - val_categorical_accuracy: 0.8982 - 370ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9788 - val_loss: 0.5049 - val_categorical_accuracy: 0.9061 - 354ms/epoch - 7ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9811 - val_loss: 0.5248 - val_categorical_accuracy: 0.9020 - 370ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5406 - val_categorical_accuracy: 0.9022 - 430ms/epoch - 9ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9808 - val_loss: 0.5256 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9809 - val_loss: 0.5463 - val_categorical_accuracy: 0.9062 - 360ms/epoch - 7ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9800 - val_loss: 0.5546 - val_categorical_accuracy: 0.9021 - 350ms/epoch - 7ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9794 - val_loss: 0.5825 - val_categorical_accuracy: 0.8972 - 350ms/epoch - 7ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9778 - val_loss: 0.5551 - val_categorical_accuracy: 0.9037 - 350ms/epoch - 7ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9800 - val_loss: 0.5457 - val_categorical_accuracy: 0.9031 - 360ms/epoch - 7ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9787 - val_loss: 0.5587 - val_categorical_accuracy: 0.9040 - 430ms/epoch - 9ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5482 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9799 - val_loss: 0.6110 - val_categorical_accuracy: 0.8961 - 364ms/epoch - 7ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9798 - val_loss: 0.5663 - val_categorical_accuracy: 0.8987 - 382ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.5626 - val_categorical_accuracy: 0.9029 - 410ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9799 - val_loss: 0.5657 - val_categorical_accuracy: 0.8970 - 355ms/epoch - 7ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5544 - val_categorical_accuracy: 0.9031 - 376ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.1751 - categorical_accuracy: 0.9516 - val_loss: 0.4891 - val_categorical_accuracy: 0.9024 - 345ms/epoch - 7ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9786 - val_loss: 0.5294 - val_categorical_accuracy: 0.9012 - 345ms/epoch - 7ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9794 - val_loss: 0.5978 - val_categorical_accuracy: 0.8898 - 340ms/epoch - 7ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.1479 - categorical_accuracy: 0.9605 - val_loss: 0.5238 - val_categorical_accuracy: 0.9047 - 430ms/epoch - 9ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9802 - val_loss: 0.5195 - val_categorical_accuracy: 0.9072 - 429ms/epoch - 9ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9803 - val_loss: 0.5401 - val_categorical_accuracy: 0.9065 - 370ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9805 - val_loss: 0.5630 - val_categorical_accuracy: 0.9008 - 439ms/epoch - 9ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9810 - val_loss: 0.5459 - val_categorical_accuracy: 0.9039 - 360ms/epoch - 7ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9803 - val_loss: 0.5535 - val_categorical_accuracy: 0.9021 - 348ms/epoch - 7ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.5688 - val_categorical_accuracy: 0.8979 - 350ms/epoch - 7ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9798 - val_loss: 0.5549 - val_categorical_accuracy: 0.9047 - 358ms/epoch - 7ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9747 - val_loss: 2.4975 - val_categorical_accuracy: 0.6504 - 350ms/epoch - 7ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.3506 - categorical_accuracy: 0.9169 - val_loss: 0.4894 - val_categorical_accuracy: 0.9004 - 440ms/epoch - 9ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9785 - val_loss: 0.4962 - val_categorical_accuracy: 0.9055 - 360ms/epoch - 7ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.5213 - val_categorical_accuracy: 0.9046 - 360ms/epoch - 7ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9807 - val_loss: 0.5449 - val_categorical_accuracy: 0.9017 - 360ms/epoch - 7ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9813 - val_loss: 0.5329 - val_categorical_accuracy: 0.9068 - 365ms/epoch - 7ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9814 - val_loss: 0.5570 - val_categorical_accuracy: 0.9034 - 365ms/epoch - 7ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9810 - val_loss: 0.5354 - val_categorical_accuracy: 0.9023 - 430ms/epoch - 9ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9811 - val_loss: 0.5393 - val_categorical_accuracy: 0.9033 - 370ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5401 - val_categorical_accuracy: 0.9071 - 360ms/epoch - 7ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5348 - val_categorical_accuracy: 0.9047 - 360ms/epoch - 7ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9805 - val_loss: 0.5875 - val_categorical_accuracy: 0.8956 - 360ms/epoch - 7ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9807 - val_loss: 0.6180 - val_categorical_accuracy: 0.8929 - 390ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9751 - val_loss: 0.5527 - val_categorical_accuracy: 0.9020 - 450ms/epoch - 9ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9805 - val_loss: 0.5744 - val_categorical_accuracy: 0.8959 - 440ms/epoch - 9ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9802 - val_loss: 0.5840 - val_categorical_accuracy: 0.9009 - 420ms/epoch - 9ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5691 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9768 - val_loss: 0.5800 - val_categorical_accuracy: 0.9021 - 358ms/epoch - 7ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9788 - val_loss: 0.5861 - val_categorical_accuracy: 0.8970 - 360ms/epoch - 7ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9785 - val_loss: 0.6107 - val_categorical_accuracy: 0.8915 - 360ms/epoch - 7ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.1391 - categorical_accuracy: 0.9608 - val_loss: 0.5393 - val_categorical_accuracy: 0.9023 - 360ms/epoch - 7ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9807 - val_loss: 0.5359 - val_categorical_accuracy: 0.9079 - 430ms/epoch - 9ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9810 - val_loss: 0.5743 - val_categorical_accuracy: 0.8961 - 360ms/epoch - 7ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.5777 - val_categorical_accuracy: 0.8998 - 360ms/epoch - 7ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9809 - val_loss: 0.5577 - val_categorical_accuracy: 0.9010 - 360ms/epoch - 7ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9809 - val_loss: 0.5800 - val_categorical_accuracy: 0.9009 - 360ms/epoch - 7ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9780 - val_loss: 0.6122 - val_categorical_accuracy: 0.8906 - 375ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9786 - val_loss: 0.5673 - val_categorical_accuracy: 0.9042 - 415ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9799 - val_loss: 0.5573 - val_categorical_accuracy: 0.9029 - 368ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9816 - val_loss: 0.5729 - val_categorical_accuracy: 0.9022 - 370ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9802 - val_loss: 0.5792 - val_categorical_accuracy: 0.9000 - 370ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9795 - val_loss: 0.5962 - val_categorical_accuracy: 0.8983 - 370ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.2526 - categorical_accuracy: 0.9387 - val_loss: 0.4976 - val_categorical_accuracy: 0.8990 - 420ms/epoch - 9ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9786 - val_loss: 0.5416 - val_categorical_accuracy: 0.8998 - 368ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9806 - val_loss: 0.5420 - val_categorical_accuracy: 0.9044 - 370ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9814 - val_loss: 0.5757 - val_categorical_accuracy: 0.8978 - 370ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 1s - loss: 0.0535 - categorical_accuracy: 0.9806 - val_loss: 0.5381 - val_categorical_accuracy: 0.9054 - 540ms/epoch - 11ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.5405 - val_categorical_accuracy: 0.9072 - 448ms/epoch - 9ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9813 - val_loss: 0.5508 - val_categorical_accuracy: 0.9062 - 410ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5618 - val_categorical_accuracy: 0.9034 - 360ms/epoch - 7ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9799 - val_loss: 0.5786 - val_categorical_accuracy: 0.8990 - 360ms/epoch - 7ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9787 - val_loss: 0.6328 - val_categorical_accuracy: 0.8942 - 360ms/epoch - 7ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9655 - val_loss: 0.6730 - val_categorical_accuracy: 0.8446 - 370ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9723 - val_loss: 0.5401 - val_categorical_accuracy: 0.9033 - 410ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9808 - val_loss: 0.5469 - val_categorical_accuracy: 0.9041 - 450ms/epoch - 9ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9818 - val_loss: 0.5334 - val_categorical_accuracy: 0.9048 - 370ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9814 - val_loss: 0.5491 - val_categorical_accuracy: 0.9081 - 370ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9822 - val_loss: 0.5567 - val_categorical_accuracy: 0.9014 - 370ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9800 - val_loss: 0.5683 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9812 - val_loss: 0.5815 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9811 - val_loss: 0.5724 - val_categorical_accuracy: 0.9015 - 480ms/epoch - 10ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9638 - val_loss: 1.1010 - val_categorical_accuracy: 0.8013 - 360ms/epoch - 7ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.1127 - categorical_accuracy: 0.9660 - val_loss: 0.5173 - val_categorical_accuracy: 0.9026 - 360ms/epoch - 7ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9809 - val_loss: 0.5817 - val_categorical_accuracy: 0.8927 - 360ms/epoch - 7ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9795 - val_loss: 0.5524 - val_categorical_accuracy: 0.9031 - 360ms/epoch - 7ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9800 - val_loss: 0.5673 - val_categorical_accuracy: 0.9005 - 360ms/epoch - 7ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5504 - val_categorical_accuracy: 0.9030 - 450ms/epoch - 9ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9818 - val_loss: 0.5500 - val_categorical_accuracy: 0.9042 - 365ms/epoch - 7ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9813 - val_loss: 0.5584 - val_categorical_accuracy: 0.9074 - 360ms/epoch - 7ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.2981 - categorical_accuracy: 0.9318 - val_loss: 0.4650 - val_categorical_accuracy: 0.8857 - 370ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9716 - val_loss: 0.4920 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9806 - val_loss: 0.5041 - val_categorical_accuracy: 0.9060 - 360ms/epoch - 7ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9814 - val_loss: 0.5194 - val_categorical_accuracy: 0.9065 - 425ms/epoch - 9ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.5309 - val_categorical_accuracy: 0.9061 - 370ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9819 - val_loss: 0.5489 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9819 - val_loss: 0.5609 - val_categorical_accuracy: 0.8989 - 360ms/epoch - 7ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9816 - val_loss: 0.5508 - val_categorical_accuracy: 0.9025 - 370ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.6044 - val_categorical_accuracy: 0.8921 - 390ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9544 - val_loss: 0.5386 - val_categorical_accuracy: 0.9041 - 455ms/epoch - 9ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9809 - val_loss: 0.5269 - val_categorical_accuracy: 0.9028 - 450ms/epoch - 9ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9820 - val_loss: 0.5467 - val_categorical_accuracy: 0.9055 - 430ms/epoch - 9ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9816 - val_loss: 0.5428 - val_categorical_accuracy: 0.9034 - 355ms/epoch - 7ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9816 - val_loss: 0.5659 - val_categorical_accuracy: 0.9001 - 360ms/epoch - 7ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9771 - val_loss: 0.5362 - val_categorical_accuracy: 0.9039 - 350ms/epoch - 7ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9805 - val_loss: 0.5552 - val_categorical_accuracy: 0.9031 - 360ms/epoch - 7ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9818 - val_loss: 0.5493 - val_categorical_accuracy: 0.9035 - 430ms/epoch - 9ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5670 - val_categorical_accuracy: 0.9020 - 350ms/epoch - 7ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9806 - val_loss: 0.5725 - val_categorical_accuracy: 0.9004 - 340ms/epoch - 7ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9805 - val_loss: 0.5639 - val_categorical_accuracy: 0.9036 - 340ms/epoch - 7ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9821 - val_loss: 0.5526 - val_categorical_accuracy: 0.9067 - 340ms/epoch - 7ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.6431 - val_categorical_accuracy: 0.8866 - 340ms/epoch - 7ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.5673 - val_categorical_accuracy: 0.9046 - 410ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9807 - val_loss: 0.5733 - val_categorical_accuracy: 0.9022 - 360ms/epoch - 7ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9798 - val_loss: 0.6800 - val_categorical_accuracy: 0.8873 - 359ms/epoch - 7ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.3031 - categorical_accuracy: 0.9290 - val_loss: 0.5010 - val_categorical_accuracy: 0.9027 - 360ms/epoch - 7ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9803 - val_loss: 0.5104 - val_categorical_accuracy: 0.9060 - 350ms/epoch - 7ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9820 - val_loss: 0.5406 - val_categorical_accuracy: 0.9017 - 370ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5317 - val_categorical_accuracy: 0.9037 - 430ms/epoch - 9ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9805 - val_loss: 0.5581 - val_categorical_accuracy: 0.8999 - 370ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5405 - val_categorical_accuracy: 0.9088 - 360ms/epoch - 7ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9773 - val_loss: 0.5465 - val_categorical_accuracy: 0.9039 - 359ms/epoch - 7ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9818 - val_loss: 0.5796 - val_categorical_accuracy: 0.8986 - 348ms/epoch - 7ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9806 - val_loss: 0.5595 - val_categorical_accuracy: 0.9053 - 420ms/epoch - 9ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9820 - val_loss: 0.5571 - val_categorical_accuracy: 0.9076 - 411ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9818 - val_loss: 0.5707 - val_categorical_accuracy: 0.9052 - 455ms/epoch - 9ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9818 - val_loss: 0.5604 - val_categorical_accuracy: 0.9053 - 440ms/epoch - 9ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9815 - val_loss: 0.5901 - val_categorical_accuracy: 0.9014 - 355ms/epoch - 7ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9810 - val_loss: 0.5906 - val_categorical_accuracy: 0.9020 - 350ms/epoch - 7ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9813 - val_loss: 0.5938 - val_categorical_accuracy: 0.9000 - 360ms/epoch - 7ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9814 - val_loss: 0.6182 - val_categorical_accuracy: 0.8909 - 350ms/epoch - 7ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9808 - val_loss: 0.5837 - val_categorical_accuracy: 0.9052 - 360ms/epoch - 7ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9805 - val_loss: 0.5711 - val_categorical_accuracy: 0.9068 - 430ms/epoch - 9ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9793 - val_loss: 0.6436 - val_categorical_accuracy: 0.8836 - 360ms/epoch - 7ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.2937 - categorical_accuracy: 0.9275 - val_loss: 0.4963 - val_categorical_accuracy: 0.9023 - 370ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9801 - val_loss: 0.5517 - val_categorical_accuracy: 0.8994 - 360ms/epoch - 7ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9801 - val_loss: 0.5382 - val_categorical_accuracy: 0.9061 - 369ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.5546 - val_categorical_accuracy: 0.9039 - 370ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.5457 - val_categorical_accuracy: 0.9058 - 403ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9816 - val_loss: 0.5943 - val_categorical_accuracy: 0.8932 - 470ms/epoch - 10ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9572 - val_loss: 0.5210 - val_categorical_accuracy: 0.9025 - 330ms/epoch - 7ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9813 - val_loss: 0.5258 - val_categorical_accuracy: 0.9061 - 330ms/epoch - 7ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9812 - val_loss: 0.5321 - val_categorical_accuracy: 0.9069 - 330ms/epoch - 7ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0482 - categorical_accuracy: 0.9825 - val_loss: 0.5562 - val_categorical_accuracy: 0.9036 - 340ms/epoch - 7ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9813 - val_loss: 0.5497 - val_categorical_accuracy: 0.9037 - 352ms/epoch - 7ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9819 - val_loss: 0.5899 - val_categorical_accuracy: 0.8984 - 435ms/epoch - 9ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.5601 - val_categorical_accuracy: 0.9020 - 360ms/epoch - 7ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.5559 - val_categorical_accuracy: 0.9041 - 360ms/epoch - 7ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9806 - val_loss: 0.5939 - val_categorical_accuracy: 0.8975 - 360ms/epoch - 7ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5628 - val_categorical_accuracy: 0.9056 - 362ms/epoch - 7ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5645 - val_categorical_accuracy: 0.9019 - 340ms/epoch - 7ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9794 - val_loss: 0.5770 - val_categorical_accuracy: 0.9010 - 406ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9805 - val_loss: 0.6107 - val_categorical_accuracy: 0.9010 - 374ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9787 - val_loss: 0.5826 - val_categorical_accuracy: 0.8985 - 370ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9812 - val_loss: 0.5726 - val_categorical_accuracy: 0.9038 - 380ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9804 - val_loss: 0.6650 - val_categorical_accuracy: 0.8879 - 390ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9808 - val_loss: 0.5785 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 1s - loss: 0.0507 - categorical_accuracy: 0.9813 - val_loss: 0.5853 - val_categorical_accuracy: 0.9036 - 544ms/epoch - 11ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0484 - categorical_accuracy: 0.9823 - val_loss: 0.5882 - val_categorical_accuracy: 0.9039 - 330ms/epoch - 7ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9815 - val_loss: 0.5843 - val_categorical_accuracy: 0.9024 - 340ms/epoch - 7ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.5808 - val_categorical_accuracy: 0.9054 - 340ms/epoch - 7ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9775 - val_loss: 0.5981 - val_categorical_accuracy: 0.8982 - 373ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9803 - val_loss: 0.6126 - val_categorical_accuracy: 0.8968 - 399ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9812 - val_loss: 0.6512 - val_categorical_accuracy: 0.8986 - 455ms/epoch - 9ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9759 - val_loss: 0.6077 - val_categorical_accuracy: 0.9001 - 435ms/epoch - 9ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9800 - val_loss: 0.5806 - val_categorical_accuracy: 0.9056 - 412ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9807 - val_loss: 0.5923 - val_categorical_accuracy: 0.9012 - 445ms/epoch - 9ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9818 - val_loss: 0.5893 - val_categorical_accuracy: 0.9037 - 427ms/epoch - 9ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9799 - val_loss: 0.6117 - val_categorical_accuracy: 0.9032 - 456ms/epoch - 9ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9805 - val_loss: 0.6067 - val_categorical_accuracy: 0.9028 - 428ms/epoch - 9ms/step
Epoch 1485/1500
49/49 - 1s - loss: 0.0498 - categorical_accuracy: 0.9818 - val_loss: 0.5905 - val_categorical_accuracy: 0.9030 - 508ms/epoch - 10ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9817 - val_loss: 0.6115 - val_categorical_accuracy: 0.9034 - 440ms/epoch - 9ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9818 - val_loss: 0.6072 - val_categorical_accuracy: 0.9042 - 412ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9816 - val_loss: 0.6179 - val_categorical_accuracy: 0.9023 - 406ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 1s - loss: 0.0563 - categorical_accuracy: 0.9796 - val_loss: 0.6199 - val_categorical_accuracy: 0.9010 - 549ms/epoch - 11ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9816 - val_loss: 0.6099 - val_categorical_accuracy: 0.9023 - 426ms/epoch - 9ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.3262 - categorical_accuracy: 0.9244 - val_loss: 0.5246 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9799 - val_loss: 0.5494 - val_categorical_accuracy: 0.9012 - 377ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9808 - val_loss: 0.6108 - val_categorical_accuracy: 0.8951 - 379ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.1165 - categorical_accuracy: 0.9654 - val_loss: 0.5538 - val_categorical_accuracy: 0.9011 - 420ms/epoch - 9ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9818 - val_loss: 0.5554 - val_categorical_accuracy: 0.8998 - 377ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 1s - loss: 0.0503 - categorical_accuracy: 0.9819 - val_loss: 0.5381 - val_categorical_accuracy: 0.9081 - 518ms/epoch - 11ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9821 - val_loss: 0.5474 - val_categorical_accuracy: 0.9076 - 456ms/epoch - 9ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0492 - categorical_accuracy: 0.9818 - val_loss: 0.6334 - val_categorical_accuracy: 0.8925 - 399ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.1734 - categorical_accuracy: 0.9543 - val_loss: 0.5158 - val_categorical_accuracy: 0.9048 - 340ms/epoch - 7ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9821 - val_loss: 0.5373 - val_categorical_accuracy: 0.9037 - 360ms/epoch - 7ms/step
processing fold # 3 
Epoch 1/1500
49/49 - 1s - loss: 1.8937 - categorical_accuracy: 0.3530 - val_loss: 1.8435 - val_categorical_accuracy: 0.3698 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8298 - categorical_accuracy: 0.3630 - val_loss: 1.7940 - val_categorical_accuracy: 0.3698 - 390ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 1s - loss: 1.7720 - categorical_accuracy: 0.3733 - val_loss: 1.7531 - val_categorical_accuracy: 0.4220 - 600ms/epoch - 12ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7137 - categorical_accuracy: 0.4096 - val_loss: 1.6703 - val_categorical_accuracy: 0.4269 - 310ms/epoch - 6ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6382 - categorical_accuracy: 0.4356 - val_loss: 1.5795 - val_categorical_accuracy: 0.4284 - 309ms/epoch - 6ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.5530 - categorical_accuracy: 0.4601 - val_loss: 1.4671 - val_categorical_accuracy: 0.5157 - 334ms/epoch - 7ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.4639 - categorical_accuracy: 0.4923 - val_loss: 1.5528 - val_categorical_accuracy: 0.4512 - 360ms/epoch - 7ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4260 - categorical_accuracy: 0.5043 - val_loss: 1.3323 - val_categorical_accuracy: 0.5385 - 340ms/epoch - 7ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.3573 - categorical_accuracy: 0.5285 - val_loss: 1.3731 - val_categorical_accuracy: 0.5199 - 370ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3215 - categorical_accuracy: 0.5349 - val_loss: 1.2979 - val_categorical_accuracy: 0.5416 - 320ms/epoch - 7ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.2746 - categorical_accuracy: 0.5508 - val_loss: 1.3643 - val_categorical_accuracy: 0.5056 - 390ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2597 - categorical_accuracy: 0.5543 - val_loss: 1.2005 - val_categorical_accuracy: 0.5753 - 400ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2172 - categorical_accuracy: 0.5667 - val_loss: 1.2285 - val_categorical_accuracy: 0.5727 - 430ms/epoch - 9ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.1947 - categorical_accuracy: 0.5707 - val_loss: 1.1152 - val_categorical_accuracy: 0.6060 - 340ms/epoch - 7ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1511 - categorical_accuracy: 0.5859 - val_loss: 1.1878 - val_categorical_accuracy: 0.5850 - 330ms/epoch - 7ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1287 - categorical_accuracy: 0.5939 - val_loss: 1.1361 - val_categorical_accuracy: 0.5890 - 320ms/epoch - 7ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1416 - categorical_accuracy: 0.5890 - val_loss: 1.1753 - val_categorical_accuracy: 0.5715 - 330ms/epoch - 7ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.0888 - categorical_accuracy: 0.6077 - val_loss: 1.0636 - val_categorical_accuracy: 0.6192 - 330ms/epoch - 7ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0657 - categorical_accuracy: 0.6167 - val_loss: 1.0403 - val_categorical_accuracy: 0.6299 - 360ms/epoch - 7ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0383 - categorical_accuracy: 0.6269 - val_loss: 1.0846 - val_categorical_accuracy: 0.6086 - 390ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0703 - categorical_accuracy: 0.6154 - val_loss: 1.0366 - val_categorical_accuracy: 0.6309 - 390ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0492 - categorical_accuracy: 0.6255 - val_loss: 1.3728 - val_categorical_accuracy: 0.5253 - 390ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 0.9929 - categorical_accuracy: 0.6433 - val_loss: 0.9783 - val_categorical_accuracy: 0.6488 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9627 - categorical_accuracy: 0.6535 - val_loss: 1.0332 - val_categorical_accuracy: 0.6316 - 380ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9661 - categorical_accuracy: 0.6475 - val_loss: 0.9856 - val_categorical_accuracy: 0.6447 - 400ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9784 - categorical_accuracy: 0.6472 - val_loss: 0.9340 - val_categorical_accuracy: 0.6692 - 390ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9203 - categorical_accuracy: 0.6638 - val_loss: 0.9041 - val_categorical_accuracy: 0.6760 - 390ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9293 - categorical_accuracy: 0.6598 - val_loss: 0.8708 - val_categorical_accuracy: 0.6844 - 400ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 1s - loss: 0.8748 - categorical_accuracy: 0.6794 - val_loss: 0.8218 - val_categorical_accuracy: 0.7037 - 500ms/epoch - 10ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.8796 - categorical_accuracy: 0.6773 - val_loss: 0.8375 - val_categorical_accuracy: 0.6992 - 380ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8650 - categorical_accuracy: 0.6811 - val_loss: 0.8555 - val_categorical_accuracy: 0.6881 - 440ms/epoch - 9ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.9287 - categorical_accuracy: 0.6682 - val_loss: 0.8293 - val_categorical_accuracy: 0.6955 - 340ms/epoch - 7ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8337 - categorical_accuracy: 0.6905 - val_loss: 0.8910 - val_categorical_accuracy: 0.6647 - 410ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8394 - categorical_accuracy: 0.6879 - val_loss: 0.8505 - val_categorical_accuracy: 0.6766 - 330ms/epoch - 7ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8903 - categorical_accuracy: 0.6786 - val_loss: 0.7738 - val_categorical_accuracy: 0.7196 - 380ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.7908 - categorical_accuracy: 0.7071 - val_loss: 0.7514 - val_categorical_accuracy: 0.7240 - 370ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8139 - categorical_accuracy: 0.7002 - val_loss: 0.8542 - val_categorical_accuracy: 0.6754 - 330ms/epoch - 7ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7895 - categorical_accuracy: 0.7076 - val_loss: 1.2507 - val_categorical_accuracy: 0.5392 - 390ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.7840 - categorical_accuracy: 0.7094 - val_loss: 0.7800 - val_categorical_accuracy: 0.7111 - 340ms/epoch - 7ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7639 - categorical_accuracy: 0.7173 - val_loss: 0.8112 - val_categorical_accuracy: 0.6902 - 360ms/epoch - 7ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.8960 - categorical_accuracy: 0.6833 - val_loss: 0.7989 - val_categorical_accuracy: 0.7070 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7577 - categorical_accuracy: 0.7173 - val_loss: 0.7284 - val_categorical_accuracy: 0.7306 - 490ms/epoch - 10ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7465 - categorical_accuracy: 0.7266 - val_loss: 0.7500 - val_categorical_accuracy: 0.7234 - 340ms/epoch - 7ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7419 - categorical_accuracy: 0.7228 - val_loss: 0.7412 - val_categorical_accuracy: 0.7339 - 340ms/epoch - 7ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7277 - categorical_accuracy: 0.7264 - val_loss: 0.7226 - val_categorical_accuracy: 0.7309 - 330ms/epoch - 7ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7058 - categorical_accuracy: 0.7361 - val_loss: 0.7459 - val_categorical_accuracy: 0.7229 - 335ms/epoch - 7ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7343 - categorical_accuracy: 0.7278 - val_loss: 0.7557 - val_categorical_accuracy: 0.7152 - 330ms/epoch - 7ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7508 - categorical_accuracy: 0.7237 - val_loss: 0.7045 - val_categorical_accuracy: 0.7408 - 360ms/epoch - 7ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.6946 - categorical_accuracy: 0.7394 - val_loss: 0.7238 - val_categorical_accuracy: 0.7264 - 420ms/epoch - 9ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7067 - categorical_accuracy: 0.7364 - val_loss: 0.8218 - val_categorical_accuracy: 0.6933 - 440ms/epoch - 9ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6866 - categorical_accuracy: 0.7418 - val_loss: 1.2400 - val_categorical_accuracy: 0.5580 - 380ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.7461 - categorical_accuracy: 0.7242 - val_loss: 0.6604 - val_categorical_accuracy: 0.7558 - 400ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6791 - categorical_accuracy: 0.7469 - val_loss: 0.6740 - val_categorical_accuracy: 0.7500 - 400ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6496 - categorical_accuracy: 0.7556 - val_loss: 1.0992 - val_categorical_accuracy: 0.6670 - 380ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6693 - categorical_accuracy: 0.7510 - val_loss: 0.8074 - val_categorical_accuracy: 0.6734 - 370ms/epoch - 8ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6703 - categorical_accuracy: 0.7493 - val_loss: 0.6888 - val_categorical_accuracy: 0.7399 - 390ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.7124 - categorical_accuracy: 0.7423 - val_loss: 0.6632 - val_categorical_accuracy: 0.7494 - 390ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6359 - categorical_accuracy: 0.7602 - val_loss: 0.7141 - val_categorical_accuracy: 0.7265 - 380ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.7808 - categorical_accuracy: 0.7235 - val_loss: 0.7258 - val_categorical_accuracy: 0.7213 - 400ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6435 - categorical_accuracy: 0.7612 - val_loss: 0.6581 - val_categorical_accuracy: 0.7497 - 400ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6153 - categorical_accuracy: 0.7686 - val_loss: 0.7389 - val_categorical_accuracy: 0.7233 - 414ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6554 - categorical_accuracy: 0.7568 - val_loss: 0.6679 - val_categorical_accuracy: 0.7497 - 400ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6079 - categorical_accuracy: 0.7700 - val_loss: 0.6493 - val_categorical_accuracy: 0.7570 - 380ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6029 - categorical_accuracy: 0.7738 - val_loss: 0.6291 - val_categorical_accuracy: 0.7647 - 400ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6539 - categorical_accuracy: 0.7607 - val_loss: 0.6416 - val_categorical_accuracy: 0.7597 - 390ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6141 - categorical_accuracy: 0.7683 - val_loss: 0.5973 - val_categorical_accuracy: 0.7762 - 400ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.5955 - categorical_accuracy: 0.7758 - val_loss: 0.6280 - val_categorical_accuracy: 0.7640 - 400ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.6050 - categorical_accuracy: 0.7747 - val_loss: 0.6163 - val_categorical_accuracy: 0.7681 - 390ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 1s - loss: 0.6361 - categorical_accuracy: 0.7681 - val_loss: 0.6123 - val_categorical_accuracy: 0.7652 - 580ms/epoch - 12ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5730 - categorical_accuracy: 0.7827 - val_loss: 0.6673 - val_categorical_accuracy: 0.7405 - 380ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5719 - categorical_accuracy: 0.7855 - val_loss: 0.6516 - val_categorical_accuracy: 0.7428 - 404ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.6036 - categorical_accuracy: 0.7747 - val_loss: 0.5574 - val_categorical_accuracy: 0.7943 - 429ms/epoch - 9ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5798 - categorical_accuracy: 0.7839 - val_loss: 0.6356 - val_categorical_accuracy: 0.7480 - 390ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5730 - categorical_accuracy: 0.7831 - val_loss: 0.5797 - val_categorical_accuracy: 0.7810 - 410ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5572 - categorical_accuracy: 0.7889 - val_loss: 0.6155 - val_categorical_accuracy: 0.7744 - 410ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5476 - categorical_accuracy: 0.7937 - val_loss: 0.5539 - val_categorical_accuracy: 0.7935 - 390ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5894 - categorical_accuracy: 0.7810 - val_loss: 0.6048 - val_categorical_accuracy: 0.7701 - 480ms/epoch - 10ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5772 - categorical_accuracy: 0.7850 - val_loss: 0.6638 - val_categorical_accuracy: 0.7554 - 440ms/epoch - 9ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5328 - categorical_accuracy: 0.8002 - val_loss: 0.6377 - val_categorical_accuracy: 0.7725 - 420ms/epoch - 9ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5448 - categorical_accuracy: 0.7952 - val_loss: 0.5418 - val_categorical_accuracy: 0.7966 - 385ms/epoch - 8ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5330 - categorical_accuracy: 0.7997 - val_loss: 0.6238 - val_categorical_accuracy: 0.7592 - 475ms/epoch - 10ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5486 - categorical_accuracy: 0.7934 - val_loss: 0.6215 - val_categorical_accuracy: 0.7743 - 435ms/epoch - 9ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5897 - categorical_accuracy: 0.7850 - val_loss: 0.5999 - val_categorical_accuracy: 0.7715 - 379ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5282 - categorical_accuracy: 0.8008 - val_loss: 0.5319 - val_categorical_accuracy: 0.8031 - 400ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5766 - categorical_accuracy: 0.7889 - val_loss: 0.5223 - val_categorical_accuracy: 0.8053 - 400ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5241 - categorical_accuracy: 0.8038 - val_loss: 0.5508 - val_categorical_accuracy: 0.7957 - 400ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5170 - categorical_accuracy: 0.8062 - val_loss: 0.5431 - val_categorical_accuracy: 0.7982 - 360ms/epoch - 7ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5331 - categorical_accuracy: 0.8023 - val_loss: 0.5531 - val_categorical_accuracy: 0.7951 - 380ms/epoch - 8ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5246 - categorical_accuracy: 0.8029 - val_loss: 0.5694 - val_categorical_accuracy: 0.7817 - 420ms/epoch - 9ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5149 - categorical_accuracy: 0.8074 - val_loss: 0.5502 - val_categorical_accuracy: 0.7940 - 430ms/epoch - 9ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.6679 - categorical_accuracy: 0.7693 - val_loss: 0.5477 - val_categorical_accuracy: 0.7985 - 390ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.4842 - categorical_accuracy: 0.8223 - val_loss: 0.5293 - val_categorical_accuracy: 0.8088 - 370ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.4961 - categorical_accuracy: 0.8139 - val_loss: 0.5265 - val_categorical_accuracy: 0.7995 - 380ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4953 - categorical_accuracy: 0.8164 - val_loss: 0.5329 - val_categorical_accuracy: 0.8003 - 370ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4855 - categorical_accuracy: 0.8194 - val_loss: 0.5414 - val_categorical_accuracy: 0.7978 - 400ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.4893 - categorical_accuracy: 0.8187 - val_loss: 0.5528 - val_categorical_accuracy: 0.7944 - 484ms/epoch - 10ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4852 - categorical_accuracy: 0.8186 - val_loss: 0.5487 - val_categorical_accuracy: 0.7961 - 380ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4890 - categorical_accuracy: 0.8191 - val_loss: 0.6104 - val_categorical_accuracy: 0.7903 - 380ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.5540 - categorical_accuracy: 0.8026 - val_loss: 0.5095 - val_categorical_accuracy: 0.8106 - 380ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4697 - categorical_accuracy: 0.8248 - val_loss: 0.5222 - val_categorical_accuracy: 0.8018 - 370ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4737 - categorical_accuracy: 0.8225 - val_loss: 0.5375 - val_categorical_accuracy: 0.7991 - 437ms/epoch - 9ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.7142 - categorical_accuracy: 0.7646 - val_loss: 0.5163 - val_categorical_accuracy: 0.8064 - 480ms/epoch - 10ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4661 - categorical_accuracy: 0.8272 - val_loss: 0.5581 - val_categorical_accuracy: 0.7896 - 470ms/epoch - 10ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4607 - categorical_accuracy: 0.8307 - val_loss: 0.5988 - val_categorical_accuracy: 0.7792 - 330ms/epoch - 7ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4733 - categorical_accuracy: 0.8245 - val_loss: 0.5092 - val_categorical_accuracy: 0.8137 - 349ms/epoch - 7ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4589 - categorical_accuracy: 0.8300 - val_loss: 0.5090 - val_categorical_accuracy: 0.8069 - 354ms/epoch - 7ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4992 - categorical_accuracy: 0.8175 - val_loss: 0.4992 - val_categorical_accuracy: 0.8141 - 320ms/epoch - 7ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4555 - categorical_accuracy: 0.8312 - val_loss: 0.4710 - val_categorical_accuracy: 0.8254 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4460 - categorical_accuracy: 0.8330 - val_loss: 0.4955 - val_categorical_accuracy: 0.8162 - 390ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4632 - categorical_accuracy: 0.8275 - val_loss: 0.4955 - val_categorical_accuracy: 0.8137 - 330ms/epoch - 7ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4432 - categorical_accuracy: 0.8356 - val_loss: 0.4719 - val_categorical_accuracy: 0.8262 - 425ms/epoch - 9ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4603 - categorical_accuracy: 0.8300 - val_loss: 0.4826 - val_categorical_accuracy: 0.8217 - 390ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4484 - categorical_accuracy: 0.8341 - val_loss: 0.5083 - val_categorical_accuracy: 0.8128 - 420ms/epoch - 9ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4339 - categorical_accuracy: 0.8397 - val_loss: 0.4881 - val_categorical_accuracy: 0.8208 - 340ms/epoch - 7ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4296 - categorical_accuracy: 0.8424 - val_loss: 0.5325 - val_categorical_accuracy: 0.8001 - 330ms/epoch - 7ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.5025 - categorical_accuracy: 0.8208 - val_loss: 0.4807 - val_categorical_accuracy: 0.8212 - 340ms/epoch - 7ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4376 - categorical_accuracy: 0.8388 - val_loss: 0.4575 - val_categorical_accuracy: 0.8338 - 344ms/epoch - 7ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4366 - categorical_accuracy: 0.8378 - val_loss: 0.5132 - val_categorical_accuracy: 0.8153 - 330ms/epoch - 7ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.6659 - categorical_accuracy: 0.7804 - val_loss: 0.4720 - val_categorical_accuracy: 0.8276 - 380ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4128 - categorical_accuracy: 0.8498 - val_loss: 0.4847 - val_categorical_accuracy: 0.8192 - 380ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4350 - categorical_accuracy: 0.8414 - val_loss: 0.5215 - val_categorical_accuracy: 0.8095 - 380ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4302 - categorical_accuracy: 0.8393 - val_loss: 0.5038 - val_categorical_accuracy: 0.8127 - 404ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4549 - categorical_accuracy: 0.8334 - val_loss: 0.6728 - val_categorical_accuracy: 0.7589 - 390ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4142 - categorical_accuracy: 0.8485 - val_loss: 0.4805 - val_categorical_accuracy: 0.8228 - 390ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4143 - categorical_accuracy: 0.8467 - val_loss: 0.5349 - val_categorical_accuracy: 0.7977 - 410ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4150 - categorical_accuracy: 0.8473 - val_loss: 0.4486 - val_categorical_accuracy: 0.8380 - 380ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4178 - categorical_accuracy: 0.8489 - val_loss: 0.5860 - val_categorical_accuracy: 0.8036 - 394ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4127 - categorical_accuracy: 0.8469 - val_loss: 0.4782 - val_categorical_accuracy: 0.8212 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4020 - categorical_accuracy: 0.8534 - val_loss: 0.4536 - val_categorical_accuracy: 0.8320 - 390ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4142 - categorical_accuracy: 0.8464 - val_loss: 0.4455 - val_categorical_accuracy: 0.8347 - 400ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4161 - categorical_accuracy: 0.8462 - val_loss: 0.4967 - val_categorical_accuracy: 0.8212 - 380ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.6653 - categorical_accuracy: 0.7840 - val_loss: 0.4829 - val_categorical_accuracy: 0.8251 - 400ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.3867 - categorical_accuracy: 0.8606 - val_loss: 0.5741 - val_categorical_accuracy: 0.7954 - 400ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.3971 - categorical_accuracy: 0.8545 - val_loss: 0.5112 - val_categorical_accuracy: 0.8115 - 490ms/epoch - 10ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3969 - categorical_accuracy: 0.8539 - val_loss: 0.5304 - val_categorical_accuracy: 0.8046 - 400ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.3967 - categorical_accuracy: 0.8534 - val_loss: 0.6072 - val_categorical_accuracy: 0.7827 - 380ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.4153 - categorical_accuracy: 0.8508 - val_loss: 0.4222 - val_categorical_accuracy: 0.8459 - 474ms/epoch - 10ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.3913 - categorical_accuracy: 0.8553 - val_loss: 0.5219 - val_categorical_accuracy: 0.8078 - 369ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.4076 - categorical_accuracy: 0.8509 - val_loss: 0.4694 - val_categorical_accuracy: 0.8264 - 400ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4084 - categorical_accuracy: 0.8509 - val_loss: 0.4773 - val_categorical_accuracy: 0.8238 - 440ms/epoch - 9ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3822 - categorical_accuracy: 0.8597 - val_loss: 0.4681 - val_categorical_accuracy: 0.8234 - 436ms/epoch - 9ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3857 - categorical_accuracy: 0.8577 - val_loss: 0.5598 - val_categorical_accuracy: 0.8007 - 380ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3743 - categorical_accuracy: 0.8635 - val_loss: 0.5580 - val_categorical_accuracy: 0.8013 - 345ms/epoch - 7ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3875 - categorical_accuracy: 0.8573 - val_loss: 0.4501 - val_categorical_accuracy: 0.8358 - 344ms/epoch - 7ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3815 - categorical_accuracy: 0.8594 - val_loss: 0.4405 - val_categorical_accuracy: 0.8408 - 350ms/epoch - 7ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3870 - categorical_accuracy: 0.8593 - val_loss: 0.4728 - val_categorical_accuracy: 0.8297 - 330ms/epoch - 7ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3795 - categorical_accuracy: 0.8619 - val_loss: 0.7327 - val_categorical_accuracy: 0.7691 - 384ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3807 - categorical_accuracy: 0.8614 - val_loss: 0.4544 - val_categorical_accuracy: 0.8337 - 390ms/epoch - 8ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3731 - categorical_accuracy: 0.8635 - val_loss: 0.4334 - val_categorical_accuracy: 0.8411 - 370ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3564 - categorical_accuracy: 0.8696 - val_loss: 0.4919 - val_categorical_accuracy: 0.8224 - 400ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3564 - categorical_accuracy: 0.8685 - val_loss: 0.4227 - val_categorical_accuracy: 0.8484 - 390ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3825 - categorical_accuracy: 0.8595 - val_loss: 0.4535 - val_categorical_accuracy: 0.8371 - 420ms/epoch - 9ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3709 - categorical_accuracy: 0.8626 - val_loss: 0.4371 - val_categorical_accuracy: 0.8393 - 400ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3714 - categorical_accuracy: 0.8653 - val_loss: 0.5006 - val_categorical_accuracy: 0.8173 - 390ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3589 - categorical_accuracy: 0.8692 - val_loss: 0.4244 - val_categorical_accuracy: 0.8441 - 400ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3583 - categorical_accuracy: 0.8679 - val_loss: 0.5029 - val_categorical_accuracy: 0.8110 - 390ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3483 - categorical_accuracy: 0.8715 - val_loss: 0.4481 - val_categorical_accuracy: 0.8370 - 390ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3588 - categorical_accuracy: 0.8697 - val_loss: 0.4276 - val_categorical_accuracy: 0.8462 - 410ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3683 - categorical_accuracy: 0.8669 - val_loss: 0.5655 - val_categorical_accuracy: 0.8016 - 380ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3564 - categorical_accuracy: 0.8696 - val_loss: 0.5335 - val_categorical_accuracy: 0.8085 - 400ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.5343 - categorical_accuracy: 0.8284 - val_loss: 0.4106 - val_categorical_accuracy: 0.8543 - 390ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3400 - categorical_accuracy: 0.8763 - val_loss: 0.4761 - val_categorical_accuracy: 0.8241 - 390ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3484 - categorical_accuracy: 0.8715 - val_loss: 0.4475 - val_categorical_accuracy: 0.8385 - 404ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3408 - categorical_accuracy: 0.8747 - val_loss: 0.4332 - val_categorical_accuracy: 0.8438 - 390ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3550 - categorical_accuracy: 0.8728 - val_loss: 0.4248 - val_categorical_accuracy: 0.8456 - 400ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3350 - categorical_accuracy: 0.8772 - val_loss: 0.5144 - val_categorical_accuracy: 0.8180 - 400ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3358 - categorical_accuracy: 0.8775 - val_loss: 0.5524 - val_categorical_accuracy: 0.8063 - 390ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3635 - categorical_accuracy: 0.8707 - val_loss: 0.4286 - val_categorical_accuracy: 0.8442 - 434ms/epoch - 9ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3447 - categorical_accuracy: 0.8740 - val_loss: 0.4687 - val_categorical_accuracy: 0.8313 - 390ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3376 - categorical_accuracy: 0.8765 - val_loss: 0.4367 - val_categorical_accuracy: 0.8382 - 390ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3321 - categorical_accuracy: 0.8797 - val_loss: 0.4064 - val_categorical_accuracy: 0.8527 - 390ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.4090 - categorical_accuracy: 0.8569 - val_loss: 0.3954 - val_categorical_accuracy: 0.8567 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 1s - loss: 0.3186 - categorical_accuracy: 0.8850 - val_loss: 0.3942 - val_categorical_accuracy: 0.8598 - 534ms/epoch - 11ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3379 - categorical_accuracy: 0.8773 - val_loss: 0.4380 - val_categorical_accuracy: 0.8415 - 310ms/epoch - 6ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3399 - categorical_accuracy: 0.8764 - val_loss: 0.4625 - val_categorical_accuracy: 0.8296 - 320ms/epoch - 7ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3313 - categorical_accuracy: 0.8779 - val_loss: 0.4233 - val_categorical_accuracy: 0.8490 - 320ms/epoch - 7ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3923 - categorical_accuracy: 0.8627 - val_loss: 0.4279 - val_categorical_accuracy: 0.8431 - 310ms/epoch - 6ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3212 - categorical_accuracy: 0.8840 - val_loss: 0.4893 - val_categorical_accuracy: 0.8322 - 320ms/epoch - 7ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3266 - categorical_accuracy: 0.8814 - val_loss: 0.4203 - val_categorical_accuracy: 0.8472 - 380ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3171 - categorical_accuracy: 0.8833 - val_loss: 0.4977 - val_categorical_accuracy: 0.8279 - 370ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3269 - categorical_accuracy: 0.8803 - val_loss: 0.3917 - val_categorical_accuracy: 0.8609 - 380ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3166 - categorical_accuracy: 0.8843 - val_loss: 0.4696 - val_categorical_accuracy: 0.8315 - 400ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3866 - categorical_accuracy: 0.8644 - val_loss: 0.4157 - val_categorical_accuracy: 0.8524 - 390ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3130 - categorical_accuracy: 0.8855 - val_loss: 0.3982 - val_categorical_accuracy: 0.8590 - 394ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3116 - categorical_accuracy: 0.8859 - val_loss: 0.4106 - val_categorical_accuracy: 0.8534 - 470ms/epoch - 10ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3225 - categorical_accuracy: 0.8821 - val_loss: 0.4121 - val_categorical_accuracy: 0.8501 - 420ms/epoch - 9ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3048 - categorical_accuracy: 0.8886 - val_loss: 0.4729 - val_categorical_accuracy: 0.8408 - 340ms/epoch - 7ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3157 - categorical_accuracy: 0.8845 - val_loss: 0.4941 - val_categorical_accuracy: 0.8287 - 340ms/epoch - 7ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3141 - categorical_accuracy: 0.8856 - val_loss: 0.4142 - val_categorical_accuracy: 0.8519 - 354ms/epoch - 7ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.6158 - categorical_accuracy: 0.8125 - val_loss: 0.3962 - val_categorical_accuracy: 0.8603 - 350ms/epoch - 7ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3055 - categorical_accuracy: 0.8892 - val_loss: 0.4222 - val_categorical_accuracy: 0.8523 - 390ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.2962 - categorical_accuracy: 0.8940 - val_loss: 0.4565 - val_categorical_accuracy: 0.8303 - 390ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3105 - categorical_accuracy: 0.8865 - val_loss: 0.4201 - val_categorical_accuracy: 0.8492 - 380ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3061 - categorical_accuracy: 0.8886 - val_loss: 0.4139 - val_categorical_accuracy: 0.8515 - 404ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.2804 - categorical_accuracy: 0.9008 - val_loss: 0.6083 - val_categorical_accuracy: 0.7719 - 400ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.3129 - categorical_accuracy: 0.8895 - val_loss: 0.3983 - val_categorical_accuracy: 0.8591 - 400ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3761 - categorical_accuracy: 0.8709 - val_loss: 0.3694 - val_categorical_accuracy: 0.8728 - 410ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.2957 - categorical_accuracy: 0.8930 - val_loss: 0.4441 - val_categorical_accuracy: 0.8423 - 420ms/epoch - 9ms/step
Epoch 199/1500
49/49 - 1s - loss: 0.3007 - categorical_accuracy: 0.8899 - val_loss: 0.3815 - val_categorical_accuracy: 0.8622 - 530ms/epoch - 11ms/step
Epoch 200/1500
49/49 - 1s - loss: 0.3028 - categorical_accuracy: 0.8899 - val_loss: 0.3669 - val_categorical_accuracy: 0.8706 - 500ms/epoch - 10ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3913 - categorical_accuracy: 0.8696 - val_loss: 0.3872 - val_categorical_accuracy: 0.8631 - 340ms/epoch - 7ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.2837 - categorical_accuracy: 0.8983 - val_loss: 0.4363 - val_categorical_accuracy: 0.8414 - 330ms/epoch - 7ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2968 - categorical_accuracy: 0.8918 - val_loss: 0.4007 - val_categorical_accuracy: 0.8568 - 330ms/epoch - 7ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2917 - categorical_accuracy: 0.8950 - val_loss: 0.3596 - val_categorical_accuracy: 0.8752 - 334ms/epoch - 7ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.2925 - categorical_accuracy: 0.8937 - val_loss: 0.4016 - val_categorical_accuracy: 0.8568 - 340ms/epoch - 7ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.3047 - categorical_accuracy: 0.8923 - val_loss: 0.4241 - val_categorical_accuracy: 0.8479 - 330ms/epoch - 7ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.2932 - categorical_accuracy: 0.8924 - val_loss: 0.4262 - val_categorical_accuracy: 0.8445 - 410ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2862 - categorical_accuracy: 0.8962 - val_loss: 0.5151 - val_categorical_accuracy: 0.8086 - 380ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.2937 - categorical_accuracy: 0.8954 - val_loss: 0.3741 - val_categorical_accuracy: 0.8685 - 420ms/epoch - 9ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2730 - categorical_accuracy: 0.9012 - val_loss: 0.4259 - val_categorical_accuracy: 0.8558 - 390ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.3183 - categorical_accuracy: 0.8860 - val_loss: 0.4362 - val_categorical_accuracy: 0.8425 - 380ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2869 - categorical_accuracy: 0.8964 - val_loss: 0.4625 - val_categorical_accuracy: 0.8393 - 400ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.3169 - categorical_accuracy: 0.8893 - val_loss: 0.4129 - val_categorical_accuracy: 0.8536 - 390ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.2838 - categorical_accuracy: 0.8970 - val_loss: 0.3891 - val_categorical_accuracy: 0.8631 - 410ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2762 - categorical_accuracy: 0.8999 - val_loss: 0.4387 - val_categorical_accuracy: 0.8523 - 400ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.3052 - categorical_accuracy: 0.8902 - val_loss: 0.3926 - val_categorical_accuracy: 0.8633 - 440ms/epoch - 9ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2751 - categorical_accuracy: 0.9001 - val_loss: 0.3795 - val_categorical_accuracy: 0.8655 - 420ms/epoch - 9ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2689 - categorical_accuracy: 0.9030 - val_loss: 0.4592 - val_categorical_accuracy: 0.8442 - 390ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.6088 - categorical_accuracy: 0.8259 - val_loss: 0.5499 - val_categorical_accuracy: 0.8075 - 435ms/epoch - 9ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.3121 - categorical_accuracy: 0.8914 - val_loss: 0.3861 - val_categorical_accuracy: 0.8656 - 390ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9043 - val_loss: 0.4527 - val_categorical_accuracy: 0.8435 - 400ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2826 - categorical_accuracy: 0.8980 - val_loss: 0.4598 - val_categorical_accuracy: 0.8449 - 420ms/epoch - 9ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2746 - categorical_accuracy: 0.9003 - val_loss: 0.3846 - val_categorical_accuracy: 0.8655 - 390ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2638 - categorical_accuracy: 0.9055 - val_loss: 0.4631 - val_categorical_accuracy: 0.8378 - 410ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2922 - categorical_accuracy: 0.8950 - val_loss: 0.3748 - val_categorical_accuracy: 0.8663 - 420ms/epoch - 9ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2684 - categorical_accuracy: 0.9028 - val_loss: 0.3837 - val_categorical_accuracy: 0.8695 - 396ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2639 - categorical_accuracy: 0.9038 - val_loss: 0.3574 - val_categorical_accuracy: 0.8766 - 486ms/epoch - 10ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2706 - categorical_accuracy: 0.9021 - val_loss: 0.5069 - val_categorical_accuracy: 0.8160 - 441ms/epoch - 9ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2732 - categorical_accuracy: 0.9012 - val_loss: 0.3474 - val_categorical_accuracy: 0.8814 - 454ms/epoch - 9ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.3119 - categorical_accuracy: 0.8935 - val_loss: 0.8515 - val_categorical_accuracy: 0.7123 - 369ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2874 - categorical_accuracy: 0.8993 - val_loss: 0.4072 - val_categorical_accuracy: 0.8563 - 387ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2673 - categorical_accuracy: 0.9025 - val_loss: 0.3895 - val_categorical_accuracy: 0.8663 - 387ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9097 - val_loss: 0.3839 - val_categorical_accuracy: 0.8682 - 360ms/epoch - 7ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.3022 - categorical_accuracy: 0.8944 - val_loss: 0.3967 - val_categorical_accuracy: 0.8556 - 436ms/epoch - 9ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2489 - categorical_accuracy: 0.9115 - val_loss: 0.3924 - val_categorical_accuracy: 0.8669 - 441ms/epoch - 9ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2657 - categorical_accuracy: 0.9046 - val_loss: 0.3767 - val_categorical_accuracy: 0.8733 - 391ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2584 - categorical_accuracy: 0.9068 - val_loss: 0.4328 - val_categorical_accuracy: 0.8537 - 387ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2614 - categorical_accuracy: 0.9054 - val_loss: 0.3992 - val_categorical_accuracy: 0.8641 - 378ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2515 - categorical_accuracy: 0.9096 - val_loss: 0.6391 - val_categorical_accuracy: 0.7771 - 382ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2592 - categorical_accuracy: 0.9071 - val_loss: 0.4055 - val_categorical_accuracy: 0.8594 - 414ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2722 - categorical_accuracy: 0.9026 - val_loss: 0.3877 - val_categorical_accuracy: 0.8664 - 450ms/epoch - 9ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.3663 - categorical_accuracy: 0.8840 - val_loss: 0.3599 - val_categorical_accuracy: 0.8767 - 405ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2542 - categorical_accuracy: 0.9083 - val_loss: 0.3942 - val_categorical_accuracy: 0.8630 - 360ms/epoch - 7ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2434 - categorical_accuracy: 0.9125 - val_loss: 0.4291 - val_categorical_accuracy: 0.8525 - 373ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2504 - categorical_accuracy: 0.9110 - val_loss: 0.4215 - val_categorical_accuracy: 0.8527 - 378ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2581 - categorical_accuracy: 0.9054 - val_loss: 0.3702 - val_categorical_accuracy: 0.8738 - 378ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9146 - val_loss: 0.3682 - val_categorical_accuracy: 0.8756 - 432ms/epoch - 9ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2395 - categorical_accuracy: 0.9144 - val_loss: 0.5346 - val_categorical_accuracy: 0.8188 - 477ms/epoch - 10ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2948 - categorical_accuracy: 0.9002 - val_loss: 0.3693 - val_categorical_accuracy: 0.8769 - 388ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2557 - categorical_accuracy: 0.9075 - val_loss: 0.3845 - val_categorical_accuracy: 0.8643 - 382ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2674 - categorical_accuracy: 0.9035 - val_loss: 0.4102 - val_categorical_accuracy: 0.8616 - 396ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2362 - categorical_accuracy: 0.9141 - val_loss: 0.4350 - val_categorical_accuracy: 0.8585 - 378ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2505 - categorical_accuracy: 0.9101 - val_loss: 0.3621 - val_categorical_accuracy: 0.8758 - 400ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2663 - categorical_accuracy: 0.9039 - val_loss: 0.3859 - val_categorical_accuracy: 0.8697 - 400ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2424 - categorical_accuracy: 0.9128 - val_loss: 0.4633 - val_categorical_accuracy: 0.8453 - 378ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2346 - categorical_accuracy: 0.9166 - val_loss: 0.4967 - val_categorical_accuracy: 0.8492 - 423ms/epoch - 9ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2502 - categorical_accuracy: 0.9102 - val_loss: 0.3944 - val_categorical_accuracy: 0.8679 - 423ms/epoch - 9ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2388 - categorical_accuracy: 0.9139 - val_loss: 0.4685 - val_categorical_accuracy: 0.8469 - 387ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2491 - categorical_accuracy: 0.9113 - val_loss: 0.3945 - val_categorical_accuracy: 0.8674 - 400ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2365 - categorical_accuracy: 0.9150 - val_loss: 0.3698 - val_categorical_accuracy: 0.8754 - 378ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2448 - categorical_accuracy: 0.9111 - val_loss: 0.4036 - val_categorical_accuracy: 0.8622 - 396ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2421 - categorical_accuracy: 0.9129 - val_loss: 0.5064 - val_categorical_accuracy: 0.8391 - 405ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2821 - categorical_accuracy: 0.9025 - val_loss: 0.3713 - val_categorical_accuracy: 0.8742 - 405ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2245 - categorical_accuracy: 0.9198 - val_loss: 0.3783 - val_categorical_accuracy: 0.8733 - 409ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2405 - categorical_accuracy: 0.9151 - val_loss: 0.3689 - val_categorical_accuracy: 0.8733 - 441ms/epoch - 9ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2367 - categorical_accuracy: 0.9157 - val_loss: 0.4935 - val_categorical_accuracy: 0.8335 - 423ms/epoch - 9ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2417 - categorical_accuracy: 0.9130 - val_loss: 0.4406 - val_categorical_accuracy: 0.8593 - 396ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2289 - categorical_accuracy: 0.9178 - val_loss: 0.3645 - val_categorical_accuracy: 0.8769 - 396ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2769 - categorical_accuracy: 0.9037 - val_loss: 0.4638 - val_categorical_accuracy: 0.8476 - 400ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2206 - categorical_accuracy: 0.9224 - val_loss: 0.4503 - val_categorical_accuracy: 0.8451 - 387ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2336 - categorical_accuracy: 0.9166 - val_loss: 0.4557 - val_categorical_accuracy: 0.8485 - 441ms/epoch - 9ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2372 - categorical_accuracy: 0.9149 - val_loss: 0.4067 - val_categorical_accuracy: 0.8616 - 396ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 1s - loss: 0.2283 - categorical_accuracy: 0.9204 - val_loss: 0.3970 - val_categorical_accuracy: 0.8705 - 535ms/epoch - 11ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2590 - categorical_accuracy: 0.9090 - val_loss: 0.3484 - val_categorical_accuracy: 0.8817 - 324ms/epoch - 7ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2008 - categorical_accuracy: 0.9296 - val_loss: 0.4080 - val_categorical_accuracy: 0.8625 - 306ms/epoch - 6ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2427 - categorical_accuracy: 0.9130 - val_loss: 0.4032 - val_categorical_accuracy: 0.8617 - 324ms/epoch - 7ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2287 - categorical_accuracy: 0.9175 - val_loss: 0.6318 - val_categorical_accuracy: 0.8007 - 324ms/epoch - 7ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2876 - categorical_accuracy: 0.9051 - val_loss: 0.3536 - val_categorical_accuracy: 0.8813 - 306ms/epoch - 6ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2372 - categorical_accuracy: 0.9128 - val_loss: 0.3536 - val_categorical_accuracy: 0.8801 - 373ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2273 - categorical_accuracy: 0.9188 - val_loss: 0.4211 - val_categorical_accuracy: 0.8630 - 387ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9237 - val_loss: 0.4701 - val_categorical_accuracy: 0.8507 - 369ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2200 - categorical_accuracy: 0.9228 - val_loss: 0.4924 - val_categorical_accuracy: 0.8377 - 396ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2524 - categorical_accuracy: 0.9123 - val_loss: 0.3673 - val_categorical_accuracy: 0.8787 - 387ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2802 - categorical_accuracy: 0.9037 - val_loss: 0.4917 - val_categorical_accuracy: 0.8441 - 418ms/epoch - 9ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2248 - categorical_accuracy: 0.9192 - val_loss: 0.3977 - val_categorical_accuracy: 0.8655 - 394ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2128 - categorical_accuracy: 0.9236 - val_loss: 0.3843 - val_categorical_accuracy: 0.8709 - 378ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2193 - categorical_accuracy: 0.9218 - val_loss: 0.3556 - val_categorical_accuracy: 0.8810 - 405ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2367 - categorical_accuracy: 0.9163 - val_loss: 0.3616 - val_categorical_accuracy: 0.8789 - 387ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2113 - categorical_accuracy: 0.9249 - val_loss: 0.3474 - val_categorical_accuracy: 0.8850 - 396ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2371 - categorical_accuracy: 0.9151 - val_loss: 0.3616 - val_categorical_accuracy: 0.8809 - 409ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.1996 - categorical_accuracy: 0.9286 - val_loss: 0.3860 - val_categorical_accuracy: 0.8713 - 396ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2253 - categorical_accuracy: 0.9173 - val_loss: 0.4359 - val_categorical_accuracy: 0.8584 - 432ms/epoch - 9ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2051 - categorical_accuracy: 0.9263 - val_loss: 0.3672 - val_categorical_accuracy: 0.8797 - 396ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2378 - categorical_accuracy: 0.9150 - val_loss: 0.3691 - val_categorical_accuracy: 0.8768 - 391ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.3742 - categorical_accuracy: 0.8850 - val_loss: 0.3600 - val_categorical_accuracy: 0.8743 - 414ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.1933 - categorical_accuracy: 0.9332 - val_loss: 0.3657 - val_categorical_accuracy: 0.8777 - 414ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2075 - categorical_accuracy: 0.9273 - val_loss: 0.6276 - val_categorical_accuracy: 0.7944 - 454ms/epoch - 9ms/step
Epoch 298/1500
49/49 - 1s - loss: 0.2451 - categorical_accuracy: 0.9137 - val_loss: 0.3540 - val_categorical_accuracy: 0.8827 - 558ms/epoch - 11ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2183 - categorical_accuracy: 0.9224 - val_loss: 0.3619 - val_categorical_accuracy: 0.8825 - 346ms/epoch - 7ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2047 - categorical_accuracy: 0.9281 - val_loss: 0.3598 - val_categorical_accuracy: 0.8806 - 315ms/epoch - 6ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2371 - categorical_accuracy: 0.9185 - val_loss: 0.3577 - val_categorical_accuracy: 0.8827 - 315ms/epoch - 6ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2066 - categorical_accuracy: 0.9287 - val_loss: 0.3842 - val_categorical_accuracy: 0.8705 - 327ms/epoch - 7ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2095 - categorical_accuracy: 0.9248 - val_loss: 0.4126 - val_categorical_accuracy: 0.8684 - 320ms/epoch - 7ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2083 - categorical_accuracy: 0.9248 - val_loss: 0.3579 - val_categorical_accuracy: 0.8845 - 330ms/epoch - 7ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2068 - categorical_accuracy: 0.9272 - val_loss: 0.3693 - val_categorical_accuracy: 0.8749 - 384ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2302 - categorical_accuracy: 0.9211 - val_loss: 0.3561 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2185 - categorical_accuracy: 0.9224 - val_loss: 0.3516 - val_categorical_accuracy: 0.8807 - 380ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2039 - categorical_accuracy: 0.9270 - val_loss: 0.3621 - val_categorical_accuracy: 0.8797 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.1873 - categorical_accuracy: 0.9335 - val_loss: 0.3624 - val_categorical_accuracy: 0.8802 - 380ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2099 - categorical_accuracy: 0.9254 - val_loss: 0.3940 - val_categorical_accuracy: 0.8702 - 400ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2162 - categorical_accuracy: 0.9212 - val_loss: 0.8681 - val_categorical_accuracy: 0.7754 - 390ms/epoch - 8ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.3199 - categorical_accuracy: 0.8986 - val_loss: 0.3373 - val_categorical_accuracy: 0.8897 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1898 - categorical_accuracy: 0.9330 - val_loss: 0.3733 - val_categorical_accuracy: 0.8740 - 404ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.2100 - categorical_accuracy: 0.9255 - val_loss: 0.4361 - val_categorical_accuracy: 0.8603 - 390ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.1893 - categorical_accuracy: 0.9329 - val_loss: 0.4162 - val_categorical_accuracy: 0.8711 - 414ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1904 - categorical_accuracy: 0.9320 - val_loss: 0.3857 - val_categorical_accuracy: 0.8769 - 400ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.2188 - categorical_accuracy: 0.9219 - val_loss: 0.4227 - val_categorical_accuracy: 0.8637 - 390ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9272 - val_loss: 0.3940 - val_categorical_accuracy: 0.8748 - 468ms/epoch - 10ms/step
Epoch 319/1500
49/49 - 1s - loss: 0.2075 - categorical_accuracy: 0.9263 - val_loss: 0.4627 - val_categorical_accuracy: 0.8516 - 684ms/epoch - 14ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1877 - categorical_accuracy: 0.9345 - val_loss: 0.4900 - val_categorical_accuracy: 0.8548 - 346ms/epoch - 7ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.3544 - categorical_accuracy: 0.8923 - val_loss: 0.3892 - val_categorical_accuracy: 0.8756 - 340ms/epoch - 7ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.1915 - categorical_accuracy: 0.9321 - val_loss: 0.4122 - val_categorical_accuracy: 0.8686 - 420ms/epoch - 9ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9230 - val_loss: 0.4110 - val_categorical_accuracy: 0.8690 - 340ms/epoch - 7ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9397 - val_loss: 0.4055 - val_categorical_accuracy: 0.8747 - 360ms/epoch - 7ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9295 - val_loss: 0.4246 - val_categorical_accuracy: 0.8689 - 400ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2150 - categorical_accuracy: 0.9224 - val_loss: 0.3348 - val_categorical_accuracy: 0.8938 - 397ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9440 - val_loss: 0.3539 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1981 - categorical_accuracy: 0.9312 - val_loss: 0.4089 - val_categorical_accuracy: 0.8716 - 410ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2970 - categorical_accuracy: 0.9076 - val_loss: 0.3449 - val_categorical_accuracy: 0.8895 - 498ms/epoch - 10ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1858 - categorical_accuracy: 0.9350 - val_loss: 0.3458 - val_categorical_accuracy: 0.8912 - 396ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2213 - categorical_accuracy: 0.9200 - val_loss: 0.3440 - val_categorical_accuracy: 0.8888 - 368ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1701 - categorical_accuracy: 0.9414 - val_loss: 0.3675 - val_categorical_accuracy: 0.8817 - 400ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.2029 - categorical_accuracy: 0.9281 - val_loss: 0.3720 - val_categorical_accuracy: 0.8811 - 451ms/epoch - 9ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1854 - categorical_accuracy: 0.9340 - val_loss: 0.3976 - val_categorical_accuracy: 0.8777 - 460ms/epoch - 9ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.1775 - categorical_accuracy: 0.9385 - val_loss: 0.3867 - val_categorical_accuracy: 0.8775 - 465ms/epoch - 9ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.2191 - categorical_accuracy: 0.9224 - val_loss: 0.3414 - val_categorical_accuracy: 0.8900 - 340ms/epoch - 7ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1912 - categorical_accuracy: 0.9313 - val_loss: 0.4291 - val_categorical_accuracy: 0.8654 - 360ms/epoch - 7ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.2099 - categorical_accuracy: 0.9292 - val_loss: 0.3630 - val_categorical_accuracy: 0.8883 - 350ms/epoch - 7ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9362 - val_loss: 0.3615 - val_categorical_accuracy: 0.8875 - 396ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.2005 - categorical_accuracy: 0.9291 - val_loss: 0.3757 - val_categorical_accuracy: 0.8827 - 436ms/epoch - 9ms/step
Epoch 341/1500
49/49 - 1s - loss: 0.2035 - categorical_accuracy: 0.9282 - val_loss: 0.3563 - val_categorical_accuracy: 0.8875 - 515ms/epoch - 11ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.1644 - categorical_accuracy: 0.9430 - val_loss: 0.4544 - val_categorical_accuracy: 0.8584 - 395ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1790 - categorical_accuracy: 0.9368 - val_loss: 0.3606 - val_categorical_accuracy: 0.8852 - 356ms/epoch - 7ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.2033 - categorical_accuracy: 0.9288 - val_loss: 0.3904 - val_categorical_accuracy: 0.8774 - 386ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1943 - categorical_accuracy: 0.9324 - val_loss: 0.3407 - val_categorical_accuracy: 0.8923 - 408ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.3370 - categorical_accuracy: 0.8979 - val_loss: 0.3703 - val_categorical_accuracy: 0.8762 - 450ms/epoch - 9ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9389 - val_loss: 0.4172 - val_categorical_accuracy: 0.8640 - 470ms/epoch - 10ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9425 - val_loss: 0.3967 - val_categorical_accuracy: 0.8754 - 380ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.2241 - categorical_accuracy: 0.9247 - val_loss: 0.3589 - val_categorical_accuracy: 0.8881 - 400ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1859 - categorical_accuracy: 0.9346 - val_loss: 0.3570 - val_categorical_accuracy: 0.8879 - 440ms/epoch - 9ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1865 - categorical_accuracy: 0.9337 - val_loss: 0.3924 - val_categorical_accuracy: 0.8770 - 443ms/epoch - 9ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1934 - categorical_accuracy: 0.9326 - val_loss: 0.4059 - val_categorical_accuracy: 0.8713 - 400ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1752 - categorical_accuracy: 0.9386 - val_loss: 0.3636 - val_categorical_accuracy: 0.8898 - 350ms/epoch - 7ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1924 - categorical_accuracy: 0.9306 - val_loss: 0.4307 - val_categorical_accuracy: 0.8664 - 449ms/epoch - 9ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1711 - categorical_accuracy: 0.9401 - val_loss: 0.6721 - val_categorical_accuracy: 0.7884 - 380ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1930 - categorical_accuracy: 0.9342 - val_loss: 0.5528 - val_categorical_accuracy: 0.8435 - 470ms/epoch - 10ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1909 - categorical_accuracy: 0.9325 - val_loss: 0.3410 - val_categorical_accuracy: 0.8959 - 450ms/epoch - 9ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1496 - categorical_accuracy: 0.9490 - val_loss: 0.3808 - val_categorical_accuracy: 0.8800 - 360ms/epoch - 7ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9201 - val_loss: 0.3478 - val_categorical_accuracy: 0.8929 - 380ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1681 - categorical_accuracy: 0.9402 - val_loss: 0.3917 - val_categorical_accuracy: 0.8760 - 370ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.1854 - categorical_accuracy: 0.9341 - val_loss: 0.3708 - val_categorical_accuracy: 0.8844 - 378ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1956 - categorical_accuracy: 0.9319 - val_loss: 0.3458 - val_categorical_accuracy: 0.8891 - 480ms/epoch - 10ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1661 - categorical_accuracy: 0.9428 - val_loss: 0.8167 - val_categorical_accuracy: 0.7619 - 360ms/epoch - 7ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1835 - categorical_accuracy: 0.9395 - val_loss: 0.4988 - val_categorical_accuracy: 0.8397 - 380ms/epoch - 8ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.2006 - categorical_accuracy: 0.9276 - val_loss: 0.3765 - val_categorical_accuracy: 0.8829 - 370ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.1746 - categorical_accuracy: 0.9380 - val_loss: 0.3585 - val_categorical_accuracy: 0.8873 - 370ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1611 - categorical_accuracy: 0.9434 - val_loss: 0.4370 - val_categorical_accuracy: 0.8699 - 410ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1980 - categorical_accuracy: 0.9292 - val_loss: 0.4112 - val_categorical_accuracy: 0.8763 - 440ms/epoch - 9ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1636 - categorical_accuracy: 0.9425 - val_loss: 0.3689 - val_categorical_accuracy: 0.8871 - 455ms/epoch - 9ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9350 - val_loss: 0.3587 - val_categorical_accuracy: 0.8908 - 430ms/epoch - 9ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1474 - categorical_accuracy: 0.9492 - val_loss: 0.3539 - val_categorical_accuracy: 0.8902 - 380ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.2535 - categorical_accuracy: 0.9190 - val_loss: 0.3654 - val_categorical_accuracy: 0.8864 - 380ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9414 - val_loss: 0.3754 - val_categorical_accuracy: 0.8877 - 370ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9395 - val_loss: 0.4278 - val_categorical_accuracy: 0.8645 - 385ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1840 - categorical_accuracy: 0.9373 - val_loss: 0.3360 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9507 - val_loss: 0.3845 - val_categorical_accuracy: 0.8822 - 470ms/epoch - 10ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1578 - categorical_accuracy: 0.9449 - val_loss: 0.6049 - val_categorical_accuracy: 0.8147 - 440ms/epoch - 9ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1937 - categorical_accuracy: 0.9350 - val_loss: 0.3572 - val_categorical_accuracy: 0.8925 - 370ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1567 - categorical_accuracy: 0.9450 - val_loss: 0.4166 - val_categorical_accuracy: 0.8726 - 388ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.4915 - categorical_accuracy: 0.8678 - val_loss: 0.3363 - val_categorical_accuracy: 0.8939 - 370ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9492 - val_loss: 0.3578 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1860 - categorical_accuracy: 0.9351 - val_loss: 0.3609 - val_categorical_accuracy: 0.8900 - 430ms/epoch - 9ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1422 - categorical_accuracy: 0.9512 - val_loss: 0.3691 - val_categorical_accuracy: 0.8870 - 450ms/epoch - 9ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1793 - categorical_accuracy: 0.9358 - val_loss: 0.3951 - val_categorical_accuracy: 0.8735 - 380ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1768 - categorical_accuracy: 0.9379 - val_loss: 0.4422 - val_categorical_accuracy: 0.8655 - 360ms/epoch - 7ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1675 - categorical_accuracy: 0.9394 - val_loss: 0.4532 - val_categorical_accuracy: 0.8580 - 380ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.2126 - categorical_accuracy: 0.9286 - val_loss: 0.3584 - val_categorical_accuracy: 0.8912 - 380ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1471 - categorical_accuracy: 0.9485 - val_loss: 0.7476 - val_categorical_accuracy: 0.7840 - 430ms/epoch - 9ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1763 - categorical_accuracy: 0.9435 - val_loss: 0.3910 - val_categorical_accuracy: 0.8792 - 445ms/epoch - 9ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1844 - categorical_accuracy: 0.9370 - val_loss: 0.4142 - val_categorical_accuracy: 0.8753 - 370ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9498 - val_loss: 0.4365 - val_categorical_accuracy: 0.8737 - 390ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.2093 - categorical_accuracy: 0.9265 - val_loss: 0.3335 - val_categorical_accuracy: 0.8980 - 380ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1580 - categorical_accuracy: 0.9438 - val_loss: 0.4281 - val_categorical_accuracy: 0.8696 - 360ms/epoch - 7ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9480 - val_loss: 0.3582 - val_categorical_accuracy: 0.8913 - 413ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9404 - val_loss: 0.3963 - val_categorical_accuracy: 0.8811 - 460ms/epoch - 9ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1622 - categorical_accuracy: 0.9423 - val_loss: 0.7530 - val_categorical_accuracy: 0.8241 - 470ms/epoch - 10ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1845 - categorical_accuracy: 0.9373 - val_loss: 0.4285 - val_categorical_accuracy: 0.8756 - 420ms/epoch - 9ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1811 - categorical_accuracy: 0.9373 - val_loss: 0.3453 - val_categorical_accuracy: 0.8943 - 360ms/epoch - 7ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1397 - categorical_accuracy: 0.9515 - val_loss: 0.4374 - val_categorical_accuracy: 0.8711 - 405ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9404 - val_loss: 0.4226 - val_categorical_accuracy: 0.8686 - 340ms/epoch - 7ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1433 - categorical_accuracy: 0.9501 - val_loss: 0.3783 - val_categorical_accuracy: 0.8866 - 370ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1684 - categorical_accuracy: 0.9412 - val_loss: 0.3960 - val_categorical_accuracy: 0.8807 - 450ms/epoch - 9ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1437 - categorical_accuracy: 0.9502 - val_loss: 0.3537 - val_categorical_accuracy: 0.8961 - 350ms/epoch - 7ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.2262 - categorical_accuracy: 0.9270 - val_loss: 0.3723 - val_categorical_accuracy: 0.8841 - 365ms/epoch - 7ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1419 - categorical_accuracy: 0.9512 - val_loss: 0.3574 - val_categorical_accuracy: 0.8930 - 349ms/epoch - 7ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1591 - categorical_accuracy: 0.9446 - val_loss: 0.3864 - val_categorical_accuracy: 0.8850 - 370ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1515 - categorical_accuracy: 0.9463 - val_loss: 0.4760 - val_categorical_accuracy: 0.8568 - 380ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.2088 - categorical_accuracy: 0.9290 - val_loss: 0.4163 - val_categorical_accuracy: 0.8765 - 418ms/epoch - 9ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1900 - categorical_accuracy: 0.9358 - val_loss: 0.3772 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1704 - categorical_accuracy: 0.9430 - val_loss: 0.3731 - val_categorical_accuracy: 0.8884 - 380ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9512 - val_loss: 0.4605 - val_categorical_accuracy: 0.8547 - 380ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.2034 - categorical_accuracy: 0.9311 - val_loss: 0.3481 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1281 - categorical_accuracy: 0.9564 - val_loss: 0.3601 - val_categorical_accuracy: 0.8966 - 420ms/epoch - 9ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.2004 - categorical_accuracy: 0.9296 - val_loss: 0.3453 - val_categorical_accuracy: 0.8975 - 380ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1285 - categorical_accuracy: 0.9559 - val_loss: 0.3625 - val_categorical_accuracy: 0.8896 - 380ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1489 - categorical_accuracy: 0.9473 - val_loss: 0.6494 - val_categorical_accuracy: 0.8421 - 370ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1624 - categorical_accuracy: 0.9446 - val_loss: 0.4082 - val_categorical_accuracy: 0.8764 - 380ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.2309 - categorical_accuracy: 0.9273 - val_loss: 0.3486 - val_categorical_accuracy: 0.8973 - 410ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1367 - categorical_accuracy: 0.9525 - val_loss: 0.6993 - val_categorical_accuracy: 0.8360 - 465ms/epoch - 9ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9423 - val_loss: 0.3521 - val_categorical_accuracy: 0.8960 - 470ms/epoch - 10ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9564 - val_loss: 0.3782 - val_categorical_accuracy: 0.8915 - 430ms/epoch - 9ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9377 - val_loss: 0.3978 - val_categorical_accuracy: 0.8840 - 380ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.2091 - categorical_accuracy: 0.9317 - val_loss: 0.3696 - val_categorical_accuracy: 0.8882 - 360ms/epoch - 7ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1369 - categorical_accuracy: 0.9527 - val_loss: 0.4182 - val_categorical_accuracy: 0.8797 - 385ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1330 - categorical_accuracy: 0.9542 - val_loss: 0.3764 - val_categorical_accuracy: 0.8904 - 380ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1360 - categorical_accuracy: 0.9520 - val_loss: 0.5210 - val_categorical_accuracy: 0.8517 - 430ms/epoch - 9ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1721 - categorical_accuracy: 0.9388 - val_loss: 0.3847 - val_categorical_accuracy: 0.8898 - 400ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1623 - categorical_accuracy: 0.9448 - val_loss: 0.3570 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.2168 - categorical_accuracy: 0.9321 - val_loss: 0.3554 - val_categorical_accuracy: 0.8924 - 400ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1289 - categorical_accuracy: 0.9565 - val_loss: 0.3457 - val_categorical_accuracy: 0.8996 - 405ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9401 - val_loss: 0.3738 - val_categorical_accuracy: 0.8898 - 490ms/epoch - 10ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1259 - categorical_accuracy: 0.9569 - val_loss: 0.4079 - val_categorical_accuracy: 0.8864 - 428ms/epoch - 9ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1338 - categorical_accuracy: 0.9537 - val_loss: 0.3581 - val_categorical_accuracy: 0.8972 - 392ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9393 - val_loss: 0.3697 - val_categorical_accuracy: 0.8916 - 392ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1582 - categorical_accuracy: 0.9452 - val_loss: 0.4020 - val_categorical_accuracy: 0.8806 - 392ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1329 - categorical_accuracy: 0.9529 - val_loss: 0.3713 - val_categorical_accuracy: 0.8945 - 440ms/epoch - 9ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1620 - categorical_accuracy: 0.9444 - val_loss: 0.3729 - val_categorical_accuracy: 0.8912 - 436ms/epoch - 9ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1640 - categorical_accuracy: 0.9456 - val_loss: 0.3552 - val_categorical_accuracy: 0.8992 - 412ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1317 - categorical_accuracy: 0.9545 - val_loss: 0.7228 - val_categorical_accuracy: 0.8309 - 483ms/epoch - 10ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.2440 - categorical_accuracy: 0.9256 - val_loss: 0.3524 - val_categorical_accuracy: 0.9020 - 399ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1333 - categorical_accuracy: 0.9535 - val_loss: 0.3525 - val_categorical_accuracy: 0.9014 - 370ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1703 - categorical_accuracy: 0.9431 - val_loss: 0.3772 - val_categorical_accuracy: 0.8858 - 458ms/epoch - 9ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1268 - categorical_accuracy: 0.9561 - val_loss: 0.3617 - val_categorical_accuracy: 0.8944 - 367ms/epoch - 7ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1693 - categorical_accuracy: 0.9411 - val_loss: 0.3503 - val_categorical_accuracy: 0.8954 - 397ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1251 - categorical_accuracy: 0.9565 - val_loss: 0.5502 - val_categorical_accuracy: 0.8389 - 433ms/epoch - 9ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9488 - val_loss: 0.3799 - val_categorical_accuracy: 0.8913 - 386ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1310 - categorical_accuracy: 0.9545 - val_loss: 0.4035 - val_categorical_accuracy: 0.8873 - 380ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1858 - categorical_accuracy: 0.9371 - val_loss: 0.3661 - val_categorical_accuracy: 0.8956 - 375ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1229 - categorical_accuracy: 0.9583 - val_loss: 0.3623 - val_categorical_accuracy: 0.8992 - 463ms/epoch - 9ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1200 - categorical_accuracy: 0.9588 - val_loss: 0.3621 - val_categorical_accuracy: 0.9027 - 498ms/epoch - 10ms/step
Epoch 451/1500
49/49 - 1s - loss: 0.1812 - categorical_accuracy: 0.9396 - val_loss: 0.3825 - val_categorical_accuracy: 0.8900 - 506ms/epoch - 10ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1260 - categorical_accuracy: 0.9562 - val_loss: 0.4244 - val_categorical_accuracy: 0.8739 - 372ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.2199 - categorical_accuracy: 0.9323 - val_loss: 0.3666 - val_categorical_accuracy: 0.8954 - 328ms/epoch - 7ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1257 - categorical_accuracy: 0.9566 - val_loss: 0.3670 - val_categorical_accuracy: 0.8960 - 336ms/epoch - 7ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1781 - categorical_accuracy: 0.9429 - val_loss: 0.3932 - val_categorical_accuracy: 0.8879 - 396ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9434 - val_loss: 0.4810 - val_categorical_accuracy: 0.8649 - 328ms/epoch - 7ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.2138 - categorical_accuracy: 0.9336 - val_loss: 0.3827 - val_categorical_accuracy: 0.8912 - 440ms/epoch - 9ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1214 - categorical_accuracy: 0.9583 - val_loss: 0.3700 - val_categorical_accuracy: 0.8944 - 430ms/epoch - 9ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1545 - categorical_accuracy: 0.9461 - val_loss: 0.3505 - val_categorical_accuracy: 0.9030 - 409ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1210 - categorical_accuracy: 0.9581 - val_loss: 0.3663 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1185 - categorical_accuracy: 0.9588 - val_loss: 0.4305 - val_categorical_accuracy: 0.8815 - 344ms/epoch - 7ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1803 - categorical_accuracy: 0.9377 - val_loss: 0.3512 - val_categorical_accuracy: 0.9021 - 346ms/epoch - 7ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1404 - categorical_accuracy: 0.9499 - val_loss: 0.3818 - val_categorical_accuracy: 0.8949 - 372ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1157 - categorical_accuracy: 0.9605 - val_loss: 0.4034 - val_categorical_accuracy: 0.8888 - 396ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.2050 - categorical_accuracy: 0.9346 - val_loss: 0.3587 - val_categorical_accuracy: 0.8978 - 388ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1253 - categorical_accuracy: 0.9561 - val_loss: 0.4188 - val_categorical_accuracy: 0.8818 - 408ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1553 - categorical_accuracy: 0.9465 - val_loss: 0.3555 - val_categorical_accuracy: 0.8982 - 412ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 1s - loss: 0.1168 - categorical_accuracy: 0.9599 - val_loss: 0.3966 - val_categorical_accuracy: 0.8906 - 587ms/epoch - 12ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1604 - categorical_accuracy: 0.9450 - val_loss: 0.3652 - val_categorical_accuracy: 0.9000 - 412ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9597 - val_loss: 0.3598 - val_categorical_accuracy: 0.9028 - 404ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1156 - categorical_accuracy: 0.9600 - val_loss: 0.4073 - val_categorical_accuracy: 0.8929 - 432ms/epoch - 9ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9479 - val_loss: 0.4196 - val_categorical_accuracy: 0.8830 - 368ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1603 - categorical_accuracy: 0.9438 - val_loss: 0.4578 - val_categorical_accuracy: 0.8766 - 355ms/epoch - 7ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1403 - categorical_accuracy: 0.9509 - val_loss: 0.4843 - val_categorical_accuracy: 0.8716 - 337ms/epoch - 7ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.2885 - categorical_accuracy: 0.9121 - val_loss: 0.3554 - val_categorical_accuracy: 0.9002 - 315ms/epoch - 6ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1180 - categorical_accuracy: 0.9593 - val_loss: 0.3601 - val_categorical_accuracy: 0.8985 - 440ms/epoch - 9ms/step
Epoch 477/1500
49/49 - 1s - loss: 0.1114 - categorical_accuracy: 0.9620 - val_loss: 0.3737 - val_categorical_accuracy: 0.8989 - 504ms/epoch - 10ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9488 - val_loss: 0.3770 - val_categorical_accuracy: 0.8931 - 368ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1571 - categorical_accuracy: 0.9444 - val_loss: 0.3816 - val_categorical_accuracy: 0.8949 - 384ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1144 - categorical_accuracy: 0.9613 - val_loss: 0.3807 - val_categorical_accuracy: 0.8938 - 380ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1164 - categorical_accuracy: 0.9596 - val_loss: 0.4385 - val_categorical_accuracy: 0.8767 - 356ms/epoch - 7ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1707 - categorical_accuracy: 0.9419 - val_loss: 0.3949 - val_categorical_accuracy: 0.8893 - 414ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1320 - categorical_accuracy: 0.9534 - val_loss: 0.5273 - val_categorical_accuracy: 0.8527 - 360ms/epoch - 7ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1261 - categorical_accuracy: 0.9571 - val_loss: 0.3730 - val_categorical_accuracy: 0.9009 - 420ms/epoch - 9ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1536 - categorical_accuracy: 0.9490 - val_loss: 0.3916 - val_categorical_accuracy: 0.8888 - 460ms/epoch - 9ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1526 - categorical_accuracy: 0.9467 - val_loss: 0.4636 - val_categorical_accuracy: 0.8640 - 404ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1484 - categorical_accuracy: 0.9490 - val_loss: 0.4541 - val_categorical_accuracy: 0.8705 - 388ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1165 - categorical_accuracy: 0.9600 - val_loss: 0.3720 - val_categorical_accuracy: 0.8973 - 351ms/epoch - 7ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9631 - val_loss: 0.3850 - val_categorical_accuracy: 0.9001 - 392ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1603 - categorical_accuracy: 0.9463 - val_loss: 0.3934 - val_categorical_accuracy: 0.8955 - 317ms/epoch - 6ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1367 - categorical_accuracy: 0.9525 - val_loss: 0.3983 - val_categorical_accuracy: 0.8929 - 348ms/epoch - 7ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1323 - categorical_accuracy: 0.9546 - val_loss: 0.4070 - val_categorical_accuracy: 0.8891 - 343ms/epoch - 7ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1168 - categorical_accuracy: 0.9590 - val_loss: 0.3748 - val_categorical_accuracy: 0.8981 - 344ms/epoch - 7ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.2059 - categorical_accuracy: 0.9341 - val_loss: 0.4248 - val_categorical_accuracy: 0.8774 - 476ms/epoch - 10ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1104 - categorical_accuracy: 0.9622 - val_loss: 0.3785 - val_categorical_accuracy: 0.8959 - 340ms/epoch - 7ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9598 - val_loss: 0.3898 - val_categorical_accuracy: 0.8962 - 316ms/epoch - 6ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1241 - categorical_accuracy: 0.9565 - val_loss: 0.4858 - val_categorical_accuracy: 0.8779 - 340ms/epoch - 7ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9472 - val_loss: 0.3686 - val_categorical_accuracy: 0.8994 - 336ms/epoch - 7ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1622 - categorical_accuracy: 0.9466 - val_loss: 0.3740 - val_categorical_accuracy: 0.8929 - 320ms/epoch - 7ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1077 - categorical_accuracy: 0.9636 - val_loss: 0.4106 - val_categorical_accuracy: 0.8903 - 400ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1364 - categorical_accuracy: 0.9543 - val_loss: 0.9556 - val_categorical_accuracy: 0.7409 - 384ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1589 - categorical_accuracy: 0.9480 - val_loss: 0.3697 - val_categorical_accuracy: 0.9024 - 404ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 1s - loss: 0.1301 - categorical_accuracy: 0.9547 - val_loss: 0.4492 - val_categorical_accuracy: 0.8734 - 544ms/epoch - 11ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1154 - categorical_accuracy: 0.9598 - val_loss: 0.3579 - val_categorical_accuracy: 0.9035 - 375ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1072 - categorical_accuracy: 0.9629 - val_loss: 0.4068 - val_categorical_accuracy: 0.8957 - 336ms/epoch - 7ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1484 - categorical_accuracy: 0.9521 - val_loss: 0.5290 - val_categorical_accuracy: 0.8450 - 336ms/epoch - 7ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.2598 - categorical_accuracy: 0.9237 - val_loss: 0.3597 - val_categorical_accuracy: 0.8983 - 392ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9634 - val_loss: 0.3837 - val_categorical_accuracy: 0.8959 - 444ms/epoch - 9ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1096 - categorical_accuracy: 0.9622 - val_loss: 0.6473 - val_categorical_accuracy: 0.8320 - 324ms/epoch - 7ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1497 - categorical_accuracy: 0.9501 - val_loss: 0.4591 - val_categorical_accuracy: 0.8768 - 332ms/epoch - 7ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1443 - categorical_accuracy: 0.9496 - val_loss: 0.3656 - val_categorical_accuracy: 0.9021 - 344ms/epoch - 7ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1077 - categorical_accuracy: 0.9630 - val_loss: 0.4000 - val_categorical_accuracy: 0.8923 - 320ms/epoch - 7ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9368 - val_loss: 0.3674 - val_categorical_accuracy: 0.8974 - 393ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1048 - categorical_accuracy: 0.9648 - val_loss: 0.3670 - val_categorical_accuracy: 0.9035 - 440ms/epoch - 9ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1367 - categorical_accuracy: 0.9547 - val_loss: 0.3656 - val_categorical_accuracy: 0.9008 - 340ms/epoch - 7ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1041 - categorical_accuracy: 0.9644 - val_loss: 0.3914 - val_categorical_accuracy: 0.8983 - 356ms/epoch - 7ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9601 - val_loss: 0.4415 - val_categorical_accuracy: 0.8860 - 416ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1091 - categorical_accuracy: 0.9627 - val_loss: 0.3899 - val_categorical_accuracy: 0.9006 - 374ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1575 - categorical_accuracy: 0.9487 - val_loss: 0.5047 - val_categorical_accuracy: 0.8625 - 381ms/epoch - 8ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1237 - categorical_accuracy: 0.9567 - val_loss: 0.3729 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1062 - categorical_accuracy: 0.9636 - val_loss: 0.3769 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9642 - val_loss: 0.4136 - val_categorical_accuracy: 0.8922 - 451ms/epoch - 9ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1976 - categorical_accuracy: 0.9371 - val_loss: 0.3856 - val_categorical_accuracy: 0.8946 - 341ms/epoch - 7ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1052 - categorical_accuracy: 0.9642 - val_loss: 0.3966 - val_categorical_accuracy: 0.8951 - 328ms/epoch - 7ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1431 - categorical_accuracy: 0.9515 - val_loss: 0.7425 - val_categorical_accuracy: 0.8152 - 316ms/epoch - 6ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1493 - categorical_accuracy: 0.9513 - val_loss: 0.3810 - val_categorical_accuracy: 0.8984 - 328ms/epoch - 7ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1130 - categorical_accuracy: 0.9605 - val_loss: 1.0932 - val_categorical_accuracy: 0.7877 - 332ms/epoch - 7ms/step
Epoch 528/1500
49/49 - 1s - loss: 0.1586 - categorical_accuracy: 0.9483 - val_loss: 0.3903 - val_categorical_accuracy: 0.8962 - 560ms/epoch - 11ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9663 - val_loss: 0.3884 - val_categorical_accuracy: 0.9011 - 404ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9649 - val_loss: 0.4174 - val_categorical_accuracy: 0.8963 - 344ms/epoch - 7ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1699 - categorical_accuracy: 0.9457 - val_loss: 0.4046 - val_categorical_accuracy: 0.8876 - 422ms/epoch - 9ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1074 - categorical_accuracy: 0.9629 - val_loss: 0.3862 - val_categorical_accuracy: 0.8963 - 392ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1047 - categorical_accuracy: 0.9640 - val_loss: 0.4915 - val_categorical_accuracy: 0.8723 - 400ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1164 - categorical_accuracy: 0.9596 - val_loss: 0.8625 - val_categorical_accuracy: 0.8279 - 388ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9358 - val_loss: 0.3910 - val_categorical_accuracy: 0.8960 - 350ms/epoch - 7ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9651 - val_loss: 0.4887 - val_categorical_accuracy: 0.8727 - 385ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1622 - categorical_accuracy: 0.9459 - val_loss: 0.3774 - val_categorical_accuracy: 0.9019 - 365ms/epoch - 7ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1058 - categorical_accuracy: 0.9633 - val_loss: 0.3839 - val_categorical_accuracy: 0.9013 - 380ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.2296 - categorical_accuracy: 0.9353 - val_loss: 0.3771 - val_categorical_accuracy: 0.8913 - 417ms/epoch - 9ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.1072 - categorical_accuracy: 0.9643 - val_loss: 0.3804 - val_categorical_accuracy: 0.9004 - 384ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1720 - categorical_accuracy: 0.9466 - val_loss: 0.3741 - val_categorical_accuracy: 0.9000 - 376ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9658 - val_loss: 0.3859 - val_categorical_accuracy: 0.8997 - 345ms/epoch - 7ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9662 - val_loss: 0.4556 - val_categorical_accuracy: 0.8732 - 340ms/epoch - 7ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1385 - categorical_accuracy: 0.9528 - val_loss: 0.4020 - val_categorical_accuracy: 0.8952 - 384ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9663 - val_loss: 0.4075 - val_categorical_accuracy: 0.8912 - 476ms/epoch - 10ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.2037 - categorical_accuracy: 0.9353 - val_loss: 0.3832 - val_categorical_accuracy: 0.8888 - 387ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1068 - categorical_accuracy: 0.9635 - val_loss: 0.3730 - val_categorical_accuracy: 0.9004 - 360ms/epoch - 7ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1063 - categorical_accuracy: 0.9628 - val_loss: 0.4077 - val_categorical_accuracy: 0.8946 - 408ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1024 - categorical_accuracy: 0.9645 - val_loss: 0.4019 - val_categorical_accuracy: 0.8930 - 434ms/epoch - 9ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1648 - categorical_accuracy: 0.9438 - val_loss: 0.4184 - val_categorical_accuracy: 0.8906 - 397ms/epoch - 8ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1055 - categorical_accuracy: 0.9632 - val_loss: 0.3773 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1417 - categorical_accuracy: 0.9546 - val_loss: 0.3921 - val_categorical_accuracy: 0.8972 - 464ms/epoch - 9ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9661 - val_loss: 0.4693 - val_categorical_accuracy: 0.8799 - 332ms/epoch - 7ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.2418 - categorical_accuracy: 0.9269 - val_loss: 0.3724 - val_categorical_accuracy: 0.8964 - 364ms/epoch - 7ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1053 - categorical_accuracy: 0.9632 - val_loss: 0.4031 - val_categorical_accuracy: 0.8953 - 440ms/epoch - 9ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.0970 - categorical_accuracy: 0.9666 - val_loss: 0.4064 - val_categorical_accuracy: 0.8973 - 404ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9672 - val_loss: 0.4132 - val_categorical_accuracy: 0.8919 - 346ms/epoch - 7ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1021 - categorical_accuracy: 0.9641 - val_loss: 0.5232 - val_categorical_accuracy: 0.8641 - 409ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9488 - val_loss: 0.4073 - val_categorical_accuracy: 0.8957 - 408ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.1021 - categorical_accuracy: 0.9642 - val_loss: 0.4555 - val_categorical_accuracy: 0.8788 - 420ms/epoch - 9ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1305 - categorical_accuracy: 0.9551 - val_loss: 0.3884 - val_categorical_accuracy: 0.9016 - 435ms/epoch - 9ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.1550 - categorical_accuracy: 0.9488 - val_loss: 0.4029 - val_categorical_accuracy: 0.8977 - 454ms/epoch - 9ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9660 - val_loss: 0.3708 - val_categorical_accuracy: 0.9077 - 416ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1677 - categorical_accuracy: 0.9461 - val_loss: 0.7102 - val_categorical_accuracy: 0.8084 - 453ms/epoch - 9ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1213 - categorical_accuracy: 0.9588 - val_loss: 0.4192 - val_categorical_accuracy: 0.8858 - 360ms/epoch - 7ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9662 - val_loss: 0.3954 - val_categorical_accuracy: 0.8977 - 330ms/epoch - 7ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9660 - val_loss: 0.3949 - val_categorical_accuracy: 0.9016 - 325ms/epoch - 7ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.1010 - categorical_accuracy: 0.9648 - val_loss: 0.4114 - val_categorical_accuracy: 0.8972 - 310ms/epoch - 6ms/step
Epoch 569/1500
49/49 - 1s - loss: 0.1456 - categorical_accuracy: 0.9507 - val_loss: 0.4081 - val_categorical_accuracy: 0.8966 - 719ms/epoch - 15ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.1005 - categorical_accuracy: 0.9651 - val_loss: 0.3950 - val_categorical_accuracy: 0.9022 - 372ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1501 - categorical_accuracy: 0.9529 - val_loss: 0.3946 - val_categorical_accuracy: 0.8936 - 384ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.1062 - categorical_accuracy: 0.9635 - val_loss: 0.3978 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9616 - val_loss: 0.3985 - val_categorical_accuracy: 0.8985 - 359ms/epoch - 7ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.2328 - categorical_accuracy: 0.9401 - val_loss: 0.4768 - val_categorical_accuracy: 0.8601 - 433ms/epoch - 9ms/step
Epoch 575/1500
49/49 - 1s - loss: 0.1201 - categorical_accuracy: 0.9590 - val_loss: 0.3680 - val_categorical_accuracy: 0.9041 - 527ms/epoch - 11ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9650 - val_loss: 0.4090 - val_categorical_accuracy: 0.8896 - 365ms/epoch - 7ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.0942 - categorical_accuracy: 0.9674 - val_loss: 0.3856 - val_categorical_accuracy: 0.9052 - 350ms/epoch - 7ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9657 - val_loss: 0.3798 - val_categorical_accuracy: 0.9068 - 311ms/epoch - 6ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9675 - val_loss: 0.3893 - val_categorical_accuracy: 0.9075 - 396ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.1251 - categorical_accuracy: 0.9570 - val_loss: 0.3952 - val_categorical_accuracy: 0.9024 - 356ms/epoch - 7ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.0957 - categorical_accuracy: 0.9666 - val_loss: 0.4090 - val_categorical_accuracy: 0.8959 - 416ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.1596 - categorical_accuracy: 0.9505 - val_loss: 0.3850 - val_categorical_accuracy: 0.9009 - 394ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9667 - val_loss: 0.4254 - val_categorical_accuracy: 0.8898 - 455ms/epoch - 9ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9524 - val_loss: 0.3857 - val_categorical_accuracy: 0.9049 - 488ms/epoch - 10ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0921 - categorical_accuracy: 0.9681 - val_loss: 0.3814 - val_categorical_accuracy: 0.9078 - 406ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9676 - val_loss: 0.4261 - val_categorical_accuracy: 0.8944 - 360ms/epoch - 7ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.2338 - categorical_accuracy: 0.9316 - val_loss: 0.3729 - val_categorical_accuracy: 0.9043 - 333ms/epoch - 7ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9674 - val_loss: 0.3973 - val_categorical_accuracy: 0.9006 - 349ms/epoch - 7ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9671 - val_loss: 0.4142 - val_categorical_accuracy: 0.8998 - 432ms/epoch - 9ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.1121 - categorical_accuracy: 0.9599 - val_loss: 0.3871 - val_categorical_accuracy: 0.9050 - 404ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9664 - val_loss: 0.4561 - val_categorical_accuracy: 0.8888 - 399ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.1081 - categorical_accuracy: 0.9625 - val_loss: 0.4664 - val_categorical_accuracy: 0.8906 - 428ms/epoch - 9ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9512 - val_loss: 0.4111 - val_categorical_accuracy: 0.8959 - 432ms/epoch - 9ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9649 - val_loss: 0.4105 - val_categorical_accuracy: 0.8985 - 412ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9654 - val_loss: 0.4064 - val_categorical_accuracy: 0.9016 - 480ms/epoch - 10ms/step
Epoch 596/1500
49/49 - 1s - loss: 0.0915 - categorical_accuracy: 0.9683 - val_loss: 0.4191 - val_categorical_accuracy: 0.8995 - 508ms/epoch - 10ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.2586 - categorical_accuracy: 0.9275 - val_loss: 0.3783 - val_categorical_accuracy: 0.9030 - 436ms/epoch - 9ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0945 - categorical_accuracy: 0.9677 - val_loss: 0.3932 - val_categorical_accuracy: 0.9033 - 371ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0945 - categorical_accuracy: 0.9668 - val_loss: 0.4091 - val_categorical_accuracy: 0.9009 - 340ms/epoch - 7ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.1209 - categorical_accuracy: 0.9603 - val_loss: 0.6405 - val_categorical_accuracy: 0.8307 - 360ms/epoch - 7ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.1261 - categorical_accuracy: 0.9570 - val_loss: 0.3943 - val_categorical_accuracy: 0.9033 - 401ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.0910 - categorical_accuracy: 0.9689 - val_loss: 0.4551 - val_categorical_accuracy: 0.8857 - 424ms/epoch - 9ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9659 - val_loss: 0.4035 - val_categorical_accuracy: 0.9000 - 412ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9649 - val_loss: 0.4703 - val_categorical_accuracy: 0.8838 - 448ms/epoch - 9ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.2217 - categorical_accuracy: 0.9361 - val_loss: 0.3788 - val_categorical_accuracy: 0.9021 - 421ms/epoch - 9ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9685 - val_loss: 0.3918 - val_categorical_accuracy: 0.9024 - 452ms/epoch - 9ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9686 - val_loss: 0.4111 - val_categorical_accuracy: 0.9011 - 486ms/epoch - 10ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.0920 - categorical_accuracy: 0.9679 - val_loss: 0.4032 - val_categorical_accuracy: 0.9026 - 382ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9512 - val_loss: 0.4053 - val_categorical_accuracy: 0.8975 - 333ms/epoch - 7ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9677 - val_loss: 0.4240 - val_categorical_accuracy: 0.8948 - 318ms/epoch - 6ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9683 - val_loss: 0.4333 - val_categorical_accuracy: 0.8981 - 334ms/epoch - 7ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.1834 - categorical_accuracy: 0.9470 - val_loss: 0.5673 - val_categorical_accuracy: 0.8487 - 335ms/epoch - 7ms/step
Epoch 613/1500
49/49 - 1s - loss: 0.1134 - categorical_accuracy: 0.9616 - val_loss: 0.3992 - val_categorical_accuracy: 0.9005 - 540ms/epoch - 11ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9676 - val_loss: 0.4304 - val_categorical_accuracy: 0.8932 - 333ms/epoch - 7ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9666 - val_loss: 0.4057 - val_categorical_accuracy: 0.8990 - 316ms/epoch - 6ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9677 - val_loss: 0.5238 - val_categorical_accuracy: 0.8701 - 333ms/epoch - 7ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9430 - val_loss: 0.3850 - val_categorical_accuracy: 0.9027 - 333ms/epoch - 7ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9694 - val_loss: 0.4113 - val_categorical_accuracy: 0.8986 - 319ms/epoch - 7ms/step
Epoch 619/1500
49/49 - 1s - loss: 0.0905 - categorical_accuracy: 0.9688 - val_loss: 0.4067 - val_categorical_accuracy: 0.9019 - 538ms/epoch - 11ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9682 - val_loss: 0.4188 - val_categorical_accuracy: 0.9019 - 347ms/epoch - 7ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9694 - val_loss: 0.4469 - val_categorical_accuracy: 0.8929 - 380ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.1393 - categorical_accuracy: 0.9544 - val_loss: 0.4435 - val_categorical_accuracy: 0.8903 - 352ms/epoch - 7ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.0938 - categorical_accuracy: 0.9673 - val_loss: 0.4027 - val_categorical_accuracy: 0.9005 - 341ms/epoch - 7ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9678 - val_loss: 0.4238 - val_categorical_accuracy: 0.8944 - 408ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.1459 - categorical_accuracy: 0.9533 - val_loss: 0.4129 - val_categorical_accuracy: 0.8968 - 396ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9669 - val_loss: 0.4971 - val_categorical_accuracy: 0.8757 - 476ms/epoch - 10ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9517 - val_loss: 0.3849 - val_categorical_accuracy: 0.9048 - 428ms/epoch - 9ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0942 - categorical_accuracy: 0.9672 - val_loss: 0.5668 - val_categorical_accuracy: 0.8589 - 456ms/epoch - 9ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.1253 - categorical_accuracy: 0.9589 - val_loss: 0.4038 - val_categorical_accuracy: 0.9002 - 418ms/epoch - 9ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9662 - val_loss: 0.4240 - val_categorical_accuracy: 0.8973 - 372ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0941 - categorical_accuracy: 0.9662 - val_loss: 0.4315 - val_categorical_accuracy: 0.8931 - 330ms/epoch - 7ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9664 - val_loss: 0.4217 - val_categorical_accuracy: 0.8970 - 324ms/epoch - 7ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.1808 - categorical_accuracy: 0.9422 - val_loss: 0.4031 - val_categorical_accuracy: 0.8963 - 342ms/epoch - 7ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9687 - val_loss: 0.4359 - val_categorical_accuracy: 0.8956 - 339ms/epoch - 7ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0958 - categorical_accuracy: 0.9663 - val_loss: 0.4354 - val_categorical_accuracy: 0.8912 - 412ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 1s - loss: 0.0896 - categorical_accuracy: 0.9683 - val_loss: 0.4454 - val_categorical_accuracy: 0.8879 - 540ms/epoch - 11ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9658 - val_loss: 0.4120 - val_categorical_accuracy: 0.9043 - 380ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9661 - val_loss: 0.4081 - val_categorical_accuracy: 0.9083 - 351ms/epoch - 7ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.1057 - categorical_accuracy: 0.9631 - val_loss: 0.6018 - val_categorical_accuracy: 0.8614 - 374ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.3627 - categorical_accuracy: 0.9073 - val_loss: 0.4211 - val_categorical_accuracy: 0.8916 - 419ms/epoch - 9ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9668 - val_loss: 0.3939 - val_categorical_accuracy: 0.9019 - 461ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0890 - categorical_accuracy: 0.9694 - val_loss: 0.4476 - val_categorical_accuracy: 0.8851 - 356ms/epoch - 7ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9679 - val_loss: 0.4951 - val_categorical_accuracy: 0.8788 - 372ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.1520 - categorical_accuracy: 0.9516 - val_loss: 0.4046 - val_categorical_accuracy: 0.9004 - 372ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.4398 - val_categorical_accuracy: 0.8934 - 368ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0929 - categorical_accuracy: 0.9671 - val_loss: 0.6917 - val_categorical_accuracy: 0.8353 - 400ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9557 - val_loss: 0.4419 - val_categorical_accuracy: 0.8962 - 388ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9681 - val_loss: 0.4427 - val_categorical_accuracy: 0.8975 - 384ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9658 - val_loss: 0.4179 - val_categorical_accuracy: 0.9033 - 396ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9691 - val_loss: 0.4114 - val_categorical_accuracy: 0.9040 - 444ms/epoch - 9ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9692 - val_loss: 0.4133 - val_categorical_accuracy: 0.9030 - 388ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9600 - val_loss: 1.0012 - val_categorical_accuracy: 0.7739 - 392ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.2495 - categorical_accuracy: 0.9283 - val_loss: 0.3836 - val_categorical_accuracy: 0.9058 - 336ms/epoch - 7ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9687 - val_loss: 0.4288 - val_categorical_accuracy: 0.8949 - 420ms/epoch - 9ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9661 - val_loss: 0.4090 - val_categorical_accuracy: 0.9041 - 351ms/epoch - 7ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9698 - val_loss: 0.5101 - val_categorical_accuracy: 0.8787 - 336ms/epoch - 7ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.1674 - categorical_accuracy: 0.9468 - val_loss: 0.4016 - val_categorical_accuracy: 0.9055 - 379ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0847 - categorical_accuracy: 0.9711 - val_loss: 0.3909 - val_categorical_accuracy: 0.9069 - 339ms/epoch - 7ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9707 - val_loss: 0.4277 - val_categorical_accuracy: 0.8992 - 342ms/epoch - 7ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9701 - val_loss: 0.4313 - val_categorical_accuracy: 0.8954 - 494ms/epoch - 10ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9697 - val_loss: 0.4197 - val_categorical_accuracy: 0.9036 - 408ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9435 - val_loss: 0.4564 - val_categorical_accuracy: 0.8759 - 380ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9660 - val_loss: 0.4338 - val_categorical_accuracy: 0.8959 - 399ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9702 - val_loss: 0.4316 - val_categorical_accuracy: 0.8970 - 324ms/epoch - 7ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9707 - val_loss: 0.4151 - val_categorical_accuracy: 0.9030 - 368ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.1194 - categorical_accuracy: 0.9609 - val_loss: 1.4372 - val_categorical_accuracy: 0.6803 - 478ms/epoch - 10ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.1751 - categorical_accuracy: 0.9479 - val_loss: 0.3959 - val_categorical_accuracy: 0.9019 - 452ms/epoch - 9ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9696 - val_loss: 0.4999 - val_categorical_accuracy: 0.8797 - 381ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9654 - val_loss: 0.4097 - val_categorical_accuracy: 0.9019 - 340ms/epoch - 7ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9696 - val_loss: 0.4392 - val_categorical_accuracy: 0.8941 - 380ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9692 - val_loss: 0.4351 - val_categorical_accuracy: 0.8968 - 360ms/epoch - 7ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9694 - val_loss: 0.4057 - val_categorical_accuracy: 0.9045 - 360ms/epoch - 7ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9708 - val_loss: 0.4337 - val_categorical_accuracy: 0.8990 - 379ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.2328 - categorical_accuracy: 0.9374 - val_loss: 0.5353 - val_categorical_accuracy: 0.8547 - 346ms/epoch - 7ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.1092 - categorical_accuracy: 0.9623 - val_loss: 0.3976 - val_categorical_accuracy: 0.9037 - 340ms/epoch - 7ms/step
Epoch 676/1500
49/49 - 1s - loss: 0.0884 - categorical_accuracy: 0.9694 - val_loss: 0.4112 - val_categorical_accuracy: 0.9027 - 545ms/epoch - 11ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9695 - val_loss: 0.4174 - val_categorical_accuracy: 0.9041 - 352ms/epoch - 7ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9694 - val_loss: 0.4165 - val_categorical_accuracy: 0.9025 - 405ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9714 - val_loss: 0.4502 - val_categorical_accuracy: 0.8956 - 448ms/epoch - 9ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0948 - categorical_accuracy: 0.9663 - val_loss: 0.4489 - val_categorical_accuracy: 0.8959 - 427ms/epoch - 9ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.1891 - categorical_accuracy: 0.9465 - val_loss: 0.4026 - val_categorical_accuracy: 0.8925 - 444ms/epoch - 9ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9690 - val_loss: 0.4262 - val_categorical_accuracy: 0.8955 - 460ms/epoch - 9ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9706 - val_loss: 0.4171 - val_categorical_accuracy: 0.8987 - 377ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.1242 - categorical_accuracy: 0.9587 - val_loss: 0.4048 - val_categorical_accuracy: 0.9038 - 328ms/epoch - 7ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9708 - val_loss: 0.4315 - val_categorical_accuracy: 0.8998 - 336ms/epoch - 7ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9693 - val_loss: 0.5380 - val_categorical_accuracy: 0.8726 - 327ms/epoch - 7ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.1446 - categorical_accuracy: 0.9527 - val_loss: 0.4229 - val_categorical_accuracy: 0.8983 - 485ms/epoch - 10ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9706 - val_loss: 0.4304 - val_categorical_accuracy: 0.8990 - 365ms/epoch - 7ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.1480 - categorical_accuracy: 0.9524 - val_loss: 0.4335 - val_categorical_accuracy: 0.8978 - 350ms/epoch - 7ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9716 - val_loss: 0.4163 - val_categorical_accuracy: 0.9042 - 360ms/epoch - 7ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9716 - val_loss: 0.4484 - val_categorical_accuracy: 0.8971 - 374ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9704 - val_loss: 0.4455 - val_categorical_accuracy: 0.8986 - 380ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9672 - val_loss: 0.4168 - val_categorical_accuracy: 0.9065 - 460ms/epoch - 9ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9442 - val_loss: 0.4105 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9711 - val_loss: 0.4266 - val_categorical_accuracy: 0.8991 - 330ms/epoch - 7ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9698 - val_loss: 0.4500 - val_categorical_accuracy: 0.8955 - 392ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9700 - val_loss: 0.4320 - val_categorical_accuracy: 0.9052 - 339ms/epoch - 7ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9713 - val_loss: 0.4266 - val_categorical_accuracy: 0.9052 - 462ms/epoch - 9ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9723 - val_loss: 0.4370 - val_categorical_accuracy: 0.8966 - 406ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9711 - val_loss: 0.4589 - val_categorical_accuracy: 0.8985 - 351ms/epoch - 7ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.1661 - categorical_accuracy: 0.9489 - val_loss: 0.4165 - val_categorical_accuracy: 0.9005 - 367ms/epoch - 7ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9715 - val_loss: 0.4419 - val_categorical_accuracy: 0.8968 - 334ms/epoch - 7ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0911 - categorical_accuracy: 0.9675 - val_loss: 0.4612 - val_categorical_accuracy: 0.8929 - 424ms/epoch - 9ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9700 - val_loss: 0.4531 - val_categorical_accuracy: 0.8992 - 460ms/epoch - 9ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9709 - val_loss: 0.5066 - val_categorical_accuracy: 0.8867 - 470ms/epoch - 10ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.2449 - categorical_accuracy: 0.9318 - val_loss: 0.3979 - val_categorical_accuracy: 0.9030 - 434ms/epoch - 9ms/step
Epoch 707/1500
49/49 - 1s - loss: 0.0813 - categorical_accuracy: 0.9717 - val_loss: 0.4172 - val_categorical_accuracy: 0.9053 - 596ms/epoch - 12ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0826 - categorical_accuracy: 0.9706 - val_loss: 0.4476 - val_categorical_accuracy: 0.8983 - 335ms/epoch - 7ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.1383 - categorical_accuracy: 0.9580 - val_loss: 0.4029 - val_categorical_accuracy: 0.9085 - 431ms/epoch - 9ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9728 - val_loss: 0.4105 - val_categorical_accuracy: 0.9087 - 462ms/epoch - 9ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0826 - categorical_accuracy: 0.9709 - val_loss: 0.4872 - val_categorical_accuracy: 0.8844 - 420ms/epoch - 9ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9524 - val_loss: 0.4463 - val_categorical_accuracy: 0.8947 - 397ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9710 - val_loss: 0.4325 - val_categorical_accuracy: 0.9009 - 439ms/epoch - 9ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9479 - val_loss: 0.3962 - val_categorical_accuracy: 0.9061 - 381ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9723 - val_loss: 0.4180 - val_categorical_accuracy: 0.9044 - 444ms/epoch - 9ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9708 - val_loss: 0.4440 - val_categorical_accuracy: 0.8988 - 320ms/epoch - 7ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9713 - val_loss: 0.4355 - val_categorical_accuracy: 0.9014 - 389ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9719 - val_loss: 0.4190 - val_categorical_accuracy: 0.9073 - 352ms/epoch - 7ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9717 - val_loss: 0.4367 - val_categorical_accuracy: 0.9046 - 376ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9716 - val_loss: 0.4441 - val_categorical_accuracy: 0.8994 - 428ms/epoch - 9ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9697 - val_loss: 0.4426 - val_categorical_accuracy: 0.9017 - 475ms/epoch - 10ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9711 - val_loss: 2.2239 - val_categorical_accuracy: 0.7128 - 437ms/epoch - 9ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.3209 - categorical_accuracy: 0.9164 - val_loss: 0.3973 - val_categorical_accuracy: 0.9030 - 372ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9711 - val_loss: 0.4247 - val_categorical_accuracy: 0.8999 - 324ms/epoch - 7ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9722 - val_loss: 0.4383 - val_categorical_accuracy: 0.9000 - 364ms/epoch - 7ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9710 - val_loss: 0.4640 - val_categorical_accuracy: 0.8967 - 352ms/epoch - 7ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9666 - val_loss: 0.8199 - val_categorical_accuracy: 0.8077 - 449ms/epoch - 9ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.1178 - categorical_accuracy: 0.9612 - val_loss: 0.4170 - val_categorical_accuracy: 0.9031 - 392ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9719 - val_loss: 0.4418 - val_categorical_accuracy: 0.9028 - 417ms/epoch - 9ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9688 - val_loss: 0.6608 - val_categorical_accuracy: 0.8512 - 382ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.1519 - categorical_accuracy: 0.9535 - val_loss: 0.4212 - val_categorical_accuracy: 0.9028 - 416ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9721 - val_loss: 0.4365 - val_categorical_accuracy: 0.8997 - 412ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9462 - val_loss: 0.4073 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9707 - val_loss: 0.4050 - val_categorical_accuracy: 0.9081 - 359ms/epoch - 7ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9724 - val_loss: 0.4169 - val_categorical_accuracy: 0.9064 - 392ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9722 - val_loss: 0.4419 - val_categorical_accuracy: 0.8982 - 352ms/epoch - 7ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9706 - val_loss: 0.4484 - val_categorical_accuracy: 0.8988 - 357ms/epoch - 7ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9691 - val_loss: 0.4815 - val_categorical_accuracy: 0.8899 - 352ms/epoch - 7ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9470 - val_loss: 0.4212 - val_categorical_accuracy: 0.9020 - 376ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9739 - val_loss: 0.4256 - val_categorical_accuracy: 0.9026 - 388ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9710 - val_loss: 0.4382 - val_categorical_accuracy: 0.9020 - 380ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9732 - val_loss: 0.4295 - val_categorical_accuracy: 0.9025 - 372ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 1s - loss: 0.0913 - categorical_accuracy: 0.9678 - val_loss: 0.4441 - val_categorical_accuracy: 0.8974 - 588ms/epoch - 12ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9702 - val_loss: 0.4319 - val_categorical_accuracy: 0.9047 - 337ms/epoch - 7ms/step
Epoch 745/1500
49/49 - 1s - loss: 0.0770 - categorical_accuracy: 0.9726 - val_loss: 0.4636 - val_categorical_accuracy: 0.8956 - 524ms/epoch - 11ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9710 - val_loss: 0.4421 - val_categorical_accuracy: 0.9017 - 364ms/epoch - 7ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9721 - val_loss: 0.4414 - val_categorical_accuracy: 0.9051 - 324ms/epoch - 7ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9714 - val_loss: 0.5031 - val_categorical_accuracy: 0.8914 - 316ms/epoch - 6ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.1477 - categorical_accuracy: 0.9541 - val_loss: 0.4812 - val_categorical_accuracy: 0.8946 - 480ms/epoch - 10ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9694 - val_loss: 0.5958 - val_categorical_accuracy: 0.8636 - 392ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9489 - val_loss: 0.4307 - val_categorical_accuracy: 0.9038 - 362ms/epoch - 7ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9728 - val_loss: 0.4298 - val_categorical_accuracy: 0.9060 - 368ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9684 - val_loss: 0.4179 - val_categorical_accuracy: 0.9080 - 318ms/epoch - 6ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9739 - val_loss: 0.4453 - val_categorical_accuracy: 0.8995 - 352ms/epoch - 7ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9335 - val_loss: 0.4092 - val_categorical_accuracy: 0.9026 - 327ms/epoch - 7ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9729 - val_loss: 0.4353 - val_categorical_accuracy: 0.8988 - 331ms/epoch - 7ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9722 - val_loss: 0.4422 - val_categorical_accuracy: 0.9003 - 444ms/epoch - 9ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9719 - val_loss: 0.4457 - val_categorical_accuracy: 0.8992 - 328ms/epoch - 7ms/step
Epoch 759/1500
49/49 - 1s - loss: 0.0822 - categorical_accuracy: 0.9706 - val_loss: 0.4441 - val_categorical_accuracy: 0.9009 - 545ms/epoch - 11ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9717 - val_loss: 0.4416 - val_categorical_accuracy: 0.9000 - 408ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9724 - val_loss: 0.4771 - val_categorical_accuracy: 0.8981 - 385ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9519 - val_loss: 1.0710 - val_categorical_accuracy: 0.7500 - 319ms/epoch - 7ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.1204 - categorical_accuracy: 0.9598 - val_loss: 0.4155 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9725 - val_loss: 0.4371 - val_categorical_accuracy: 0.9009 - 486ms/epoch - 10ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9733 - val_loss: 0.4404 - val_categorical_accuracy: 0.9018 - 384ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9727 - val_loss: 0.4319 - val_categorical_accuracy: 0.9079 - 378ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9732 - val_loss: 0.4679 - val_categorical_accuracy: 0.8954 - 370ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9649 - val_loss: 0.4738 - val_categorical_accuracy: 0.8975 - 408ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9726 - val_loss: 0.4481 - val_categorical_accuracy: 0.9049 - 388ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9726 - val_loss: 0.4540 - val_categorical_accuracy: 0.9024 - 412ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9719 - val_loss: 0.5101 - val_categorical_accuracy: 0.8896 - 424ms/epoch - 9ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0880 - categorical_accuracy: 0.9687 - val_loss: 0.5460 - val_categorical_accuracy: 0.8815 - 448ms/epoch - 9ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.1591 - categorical_accuracy: 0.9516 - val_loss: 0.4493 - val_categorical_accuracy: 0.8959 - 416ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9737 - val_loss: 0.4443 - val_categorical_accuracy: 0.9030 - 356ms/epoch - 7ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9735 - val_loss: 0.4819 - val_categorical_accuracy: 0.8987 - 304ms/epoch - 6ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9734 - val_loss: 0.4406 - val_categorical_accuracy: 0.9100 - 316ms/epoch - 6ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9732 - val_loss: 0.5556 - val_categorical_accuracy: 0.8816 - 312ms/epoch - 6ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.1775 - categorical_accuracy: 0.9452 - val_loss: 0.5068 - val_categorical_accuracy: 0.8851 - 332ms/epoch - 7ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9697 - val_loss: 0.4442 - val_categorical_accuracy: 0.9022 - 356ms/epoch - 7ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9739 - val_loss: 0.4400 - val_categorical_accuracy: 0.9064 - 368ms/epoch - 8ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9735 - val_loss: 0.4635 - val_categorical_accuracy: 0.9035 - 376ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 1s - loss: 0.0810 - categorical_accuracy: 0.9716 - val_loss: 0.5010 - val_categorical_accuracy: 0.8892 - 620ms/epoch - 13ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9432 - val_loss: 0.4332 - val_categorical_accuracy: 0.8997 - 340ms/epoch - 7ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9729 - val_loss: 0.4277 - val_categorical_accuracy: 0.9068 - 332ms/epoch - 7ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9749 - val_loss: 0.4256 - val_categorical_accuracy: 0.9075 - 304ms/epoch - 6ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9723 - val_loss: 0.4705 - val_categorical_accuracy: 0.8949 - 344ms/epoch - 7ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9685 - val_loss: 0.4628 - val_categorical_accuracy: 0.8982 - 368ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9729 - val_loss: 0.4628 - val_categorical_accuracy: 0.8994 - 387ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9741 - val_loss: 0.4837 - val_categorical_accuracy: 0.8961 - 448ms/epoch - 9ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9696 - val_loss: 0.4492 - val_categorical_accuracy: 0.9078 - 396ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9727 - val_loss: 0.4834 - val_categorical_accuracy: 0.8934 - 454ms/epoch - 9ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.2952 - categorical_accuracy: 0.9240 - val_loss: 0.4241 - val_categorical_accuracy: 0.9022 - 388ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9718 - val_loss: 0.4332 - val_categorical_accuracy: 0.9055 - 391ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9737 - val_loss: 0.4508 - val_categorical_accuracy: 0.9024 - 436ms/epoch - 9ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9737 - val_loss: 0.4843 - val_categorical_accuracy: 0.8947 - 409ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9708 - val_loss: 0.4605 - val_categorical_accuracy: 0.9032 - 328ms/epoch - 7ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9736 - val_loss: 0.4630 - val_categorical_accuracy: 0.9043 - 356ms/epoch - 7ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9530 - val_loss: 0.4466 - val_categorical_accuracy: 0.8943 - 320ms/epoch - 7ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9727 - val_loss: 0.4332 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9743 - val_loss: 0.4464 - val_categorical_accuracy: 0.9025 - 386ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9732 - val_loss: 0.4645 - val_categorical_accuracy: 0.8983 - 336ms/epoch - 7ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0867 - categorical_accuracy: 0.9692 - val_loss: 0.5440 - val_categorical_accuracy: 0.8849 - 392ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.1697 - categorical_accuracy: 0.9533 - val_loss: 0.4272 - val_categorical_accuracy: 0.9052 - 336ms/epoch - 7ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9745 - val_loss: 0.4308 - val_categorical_accuracy: 0.9074 - 461ms/epoch - 9ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9739 - val_loss: 0.4505 - val_categorical_accuracy: 0.9062 - 311ms/epoch - 6ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9721 - val_loss: 0.4468 - val_categorical_accuracy: 0.9048 - 417ms/epoch - 9ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9720 - val_loss: 0.4821 - val_categorical_accuracy: 0.8981 - 420ms/epoch - 9ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9737 - val_loss: 0.4547 - val_categorical_accuracy: 0.9045 - 408ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0965 - categorical_accuracy: 0.9660 - val_loss: 0.6109 - val_categorical_accuracy: 0.8676 - 348ms/epoch - 7ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.1593 - categorical_accuracy: 0.9526 - val_loss: 0.5051 - val_categorical_accuracy: 0.8895 - 396ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9733 - val_loss: 0.4321 - val_categorical_accuracy: 0.9064 - 448ms/epoch - 9ms/step
Epoch 812/1500
49/49 - 1s - loss: 0.0886 - categorical_accuracy: 0.9679 - val_loss: 0.4429 - val_categorical_accuracy: 0.9054 - 517ms/epoch - 11ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9726 - val_loss: 0.4540 - val_categorical_accuracy: 0.9016 - 392ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9739 - val_loss: 0.4455 - val_categorical_accuracy: 0.9055 - 316ms/epoch - 6ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9746 - val_loss: 0.4510 - val_categorical_accuracy: 0.9077 - 372ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9719 - val_loss: 0.4880 - val_categorical_accuracy: 0.8984 - 369ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9721 - val_loss: 0.5024 - val_categorical_accuracy: 0.8935 - 380ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9727 - val_loss: 0.5048 - val_categorical_accuracy: 0.8908 - 337ms/epoch - 7ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.2349 - categorical_accuracy: 0.9371 - val_loss: 0.4306 - val_categorical_accuracy: 0.9003 - 336ms/epoch - 7ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9741 - val_loss: 0.4410 - val_categorical_accuracy: 0.9023 - 332ms/epoch - 7ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9746 - val_loss: 0.4972 - val_categorical_accuracy: 0.8918 - 380ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9725 - val_loss: 0.4523 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9745 - val_loss: 0.4743 - val_categorical_accuracy: 0.9016 - 440ms/epoch - 9ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.3811 - categorical_accuracy: 0.9131 - val_loss: 0.4838 - val_categorical_accuracy: 0.8586 - 410ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.1277 - categorical_accuracy: 0.9555 - val_loss: 0.4349 - val_categorical_accuracy: 0.8967 - 480ms/epoch - 10ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9717 - val_loss: 0.4432 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9733 - val_loss: 0.4374 - val_categorical_accuracy: 0.9054 - 330ms/epoch - 7ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9740 - val_loss: 0.5120 - val_categorical_accuracy: 0.8850 - 370ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9719 - val_loss: 0.4622 - val_categorical_accuracy: 0.9010 - 330ms/epoch - 7ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9730 - val_loss: 0.4670 - val_categorical_accuracy: 0.9009 - 320ms/epoch - 7ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9720 - val_loss: 0.4798 - val_categorical_accuracy: 0.8969 - 320ms/epoch - 7ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.1954 - categorical_accuracy: 0.9436 - val_loss: 0.4037 - val_categorical_accuracy: 0.9076 - 460ms/epoch - 9ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9749 - val_loss: 0.4232 - val_categorical_accuracy: 0.9062 - 439ms/epoch - 9ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9745 - val_loss: 0.4434 - val_categorical_accuracy: 0.9061 - 436ms/epoch - 9ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9680 - val_loss: 0.4303 - val_categorical_accuracy: 0.9086 - 384ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9739 - val_loss: 0.4358 - val_categorical_accuracy: 0.9091 - 369ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9733 - val_loss: 0.4639 - val_categorical_accuracy: 0.9023 - 452ms/epoch - 9ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9751 - val_loss: 0.4695 - val_categorical_accuracy: 0.9051 - 465ms/epoch - 9ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9740 - val_loss: 0.4602 - val_categorical_accuracy: 0.9056 - 415ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9748 - val_loss: 0.4760 - val_categorical_accuracy: 0.8980 - 420ms/epoch - 9ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9731 - val_loss: 0.4640 - val_categorical_accuracy: 0.9054 - 378ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9743 - val_loss: 0.4564 - val_categorical_accuracy: 0.9055 - 364ms/epoch - 7ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9752 - val_loss: 0.4940 - val_categorical_accuracy: 0.8985 - 301ms/epoch - 6ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9709 - val_loss: 0.4978 - val_categorical_accuracy: 0.9007 - 313ms/epoch - 6ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9734 - val_loss: 0.4741 - val_categorical_accuracy: 0.9030 - 303ms/epoch - 6ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9495 - val_loss: 0.4818 - val_categorical_accuracy: 0.8890 - 363ms/epoch - 7ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9714 - val_loss: 0.4384 - val_categorical_accuracy: 0.9029 - 351ms/epoch - 7ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9745 - val_loss: 0.4621 - val_categorical_accuracy: 0.9037 - 495ms/epoch - 10ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9749 - val_loss: 0.4644 - val_categorical_accuracy: 0.9030 - 381ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.1628 - categorical_accuracy: 0.9565 - val_loss: 0.7998 - val_categorical_accuracy: 0.8236 - 372ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.1106 - categorical_accuracy: 0.9628 - val_loss: 0.4497 - val_categorical_accuracy: 0.9006 - 316ms/epoch - 6ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9745 - val_loss: 0.4532 - val_categorical_accuracy: 0.9032 - 325ms/epoch - 7ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9753 - val_loss: 0.4625 - val_categorical_accuracy: 0.8980 - 340ms/epoch - 7ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.1315 - categorical_accuracy: 0.9598 - val_loss: 0.4554 - val_categorical_accuracy: 0.9011 - 320ms/epoch - 7ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9744 - val_loss: 0.4877 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9735 - val_loss: 0.4436 - val_categorical_accuracy: 0.9051 - 360ms/epoch - 7ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9744 - val_loss: 0.4632 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9749 - val_loss: 0.4779 - val_categorical_accuracy: 0.8999 - 415ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9736 - val_loss: 0.4547 - val_categorical_accuracy: 0.9093 - 460ms/epoch - 9ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9732 - val_loss: 0.4567 - val_categorical_accuracy: 0.9080 - 410ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9523 - val_loss: 0.4383 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9739 - val_loss: 0.4453 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9763 - val_loss: 0.4616 - val_categorical_accuracy: 0.9041 - 365ms/epoch - 7ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.2204 - categorical_accuracy: 0.9408 - val_loss: 0.4252 - val_categorical_accuracy: 0.9049 - 353ms/epoch - 7ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9749 - val_loss: 0.4621 - val_categorical_accuracy: 0.9016 - 442ms/epoch - 9ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9750 - val_loss: 0.4529 - val_categorical_accuracy: 0.9027 - 346ms/epoch - 7ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9753 - val_loss: 0.4712 - val_categorical_accuracy: 0.9025 - 356ms/epoch - 7ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9750 - val_loss: 0.4567 - val_categorical_accuracy: 0.9046 - 333ms/epoch - 7ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9727 - val_loss: 0.6334 - val_categorical_accuracy: 0.8673 - 319ms/epoch - 7ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9594 - val_loss: 0.4564 - val_categorical_accuracy: 0.8984 - 316ms/epoch - 6ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9749 - val_loss: 0.4729 - val_categorical_accuracy: 0.9013 - 370ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.1111 - categorical_accuracy: 0.9612 - val_loss: 0.4626 - val_categorical_accuracy: 0.9020 - 376ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9750 - val_loss: 0.4422 - val_categorical_accuracy: 0.9049 - 480ms/epoch - 10ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9747 - val_loss: 0.4853 - val_categorical_accuracy: 0.9013 - 388ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.3568 - categorical_accuracy: 0.9110 - val_loss: 0.4116 - val_categorical_accuracy: 0.9010 - 326ms/epoch - 7ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9734 - val_loss: 0.4148 - val_categorical_accuracy: 0.9089 - 351ms/epoch - 7ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9747 - val_loss: 0.4473 - val_categorical_accuracy: 0.9058 - 324ms/epoch - 7ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9746 - val_loss: 0.4435 - val_categorical_accuracy: 0.9054 - 330ms/epoch - 7ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9750 - val_loss: 0.4654 - val_categorical_accuracy: 0.9010 - 347ms/epoch - 7ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9737 - val_loss: 0.4476 - val_categorical_accuracy: 0.9079 - 417ms/epoch - 9ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9755 - val_loss: 0.4494 - val_categorical_accuracy: 0.9064 - 428ms/epoch - 9ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9727 - val_loss: 0.4830 - val_categorical_accuracy: 0.8988 - 372ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9743 - val_loss: 0.4748 - val_categorical_accuracy: 0.9021 - 376ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9734 - val_loss: 0.4597 - val_categorical_accuracy: 0.9083 - 372ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9746 - val_loss: 0.4728 - val_categorical_accuracy: 0.9013 - 336ms/epoch - 7ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9758 - val_loss: 0.4568 - val_categorical_accuracy: 0.9083 - 346ms/epoch - 7ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9755 - val_loss: 0.5463 - val_categorical_accuracy: 0.8870 - 380ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9736 - val_loss: 0.5095 - val_categorical_accuracy: 0.8938 - 376ms/epoch - 8ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.1711 - categorical_accuracy: 0.9497 - val_loss: 0.4471 - val_categorical_accuracy: 0.9047 - 415ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9751 - val_loss: 0.4963 - val_categorical_accuracy: 0.8949 - 384ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9753 - val_loss: 0.4786 - val_categorical_accuracy: 0.9018 - 412ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9746 - val_loss: 0.5786 - val_categorical_accuracy: 0.8804 - 452ms/epoch - 9ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.1957 - categorical_accuracy: 0.9444 - val_loss: 0.4743 - val_categorical_accuracy: 0.8975 - 404ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9755 - val_loss: 0.4583 - val_categorical_accuracy: 0.9060 - 368ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9753 - val_loss: 0.4666 - val_categorical_accuracy: 0.9020 - 368ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9755 - val_loss: 0.4636 - val_categorical_accuracy: 0.9030 - 360ms/epoch - 7ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9756 - val_loss: 0.4735 - val_categorical_accuracy: 0.9069 - 368ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.2440 - categorical_accuracy: 0.9383 - val_loss: 0.4216 - val_categorical_accuracy: 0.9009 - 384ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9742 - val_loss: 0.4772 - val_categorical_accuracy: 0.8988 - 384ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9754 - val_loss: 0.4882 - val_categorical_accuracy: 0.8931 - 384ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9748 - val_loss: 0.4814 - val_categorical_accuracy: 0.9001 - 380ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9749 - val_loss: 0.4681 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9748 - val_loss: 0.5129 - val_categorical_accuracy: 0.8898 - 384ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9731 - val_loss: 0.4559 - val_categorical_accuracy: 0.9054 - 384ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9724 - val_loss: 0.4725 - val_categorical_accuracy: 0.9020 - 384ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9757 - val_loss: 0.4860 - val_categorical_accuracy: 0.9020 - 384ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9756 - val_loss: 0.5059 - val_categorical_accuracy: 0.8985 - 384ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9733 - val_loss: 0.4733 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.4615 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.2048 - categorical_accuracy: 0.9432 - val_loss: 0.4639 - val_categorical_accuracy: 0.8924 - 388ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9742 - val_loss: 0.4598 - val_categorical_accuracy: 0.9043 - 387ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9755 - val_loss: 0.4524 - val_categorical_accuracy: 0.9102 - 391ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9753 - val_loss: 0.4728 - val_categorical_accuracy: 0.9054 - 384ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9752 - val_loss: 0.4819 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9754 - val_loss: 0.5414 - val_categorical_accuracy: 0.8858 - 396ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9732 - val_loss: 0.4899 - val_categorical_accuracy: 0.9008 - 384ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9743 - val_loss: 0.4920 - val_categorical_accuracy: 0.9041 - 412ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9752 - val_loss: 0.5302 - val_categorical_accuracy: 0.8896 - 436ms/epoch - 9ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.2043 - categorical_accuracy: 0.9406 - val_loss: 0.4377 - val_categorical_accuracy: 0.9068 - 388ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9752 - val_loss: 0.4544 - val_categorical_accuracy: 0.9071 - 388ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9747 - val_loss: 0.5025 - val_categorical_accuracy: 0.8950 - 392ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9716 - val_loss: 0.4707 - val_categorical_accuracy: 0.9059 - 384ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9746 - val_loss: 0.5098 - val_categorical_accuracy: 0.8980 - 412ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9743 - val_loss: 0.4911 - val_categorical_accuracy: 0.9019 - 498ms/epoch - 10ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.4944 - val_categorical_accuracy: 0.9004 - 384ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9755 - val_loss: 0.4734 - val_categorical_accuracy: 0.9057 - 473ms/epoch - 10ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.1551 - categorical_accuracy: 0.9578 - val_loss: 0.6427 - val_categorical_accuracy: 0.8548 - 445ms/epoch - 9ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9681 - val_loss: 0.5283 - val_categorical_accuracy: 0.8849 - 460ms/epoch - 9ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9735 - val_loss: 0.4817 - val_categorical_accuracy: 0.9010 - 372ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9763 - val_loss: 0.4993 - val_categorical_accuracy: 0.8979 - 368ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.1720 - categorical_accuracy: 0.9512 - val_loss: 0.4602 - val_categorical_accuracy: 0.8949 - 370ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9735 - val_loss: 0.4463 - val_categorical_accuracy: 0.9075 - 376ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9761 - val_loss: 0.4737 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9765 - val_loss: 0.4708 - val_categorical_accuracy: 0.9066 - 443ms/epoch - 9ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9752 - val_loss: 0.4988 - val_categorical_accuracy: 0.8977 - 444ms/epoch - 9ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9750 - val_loss: 0.5862 - val_categorical_accuracy: 0.8757 - 441ms/epoch - 9ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.1690 - categorical_accuracy: 0.9475 - val_loss: 0.4586 - val_categorical_accuracy: 0.9004 - 360ms/epoch - 7ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9770 - val_loss: 0.4811 - val_categorical_accuracy: 0.8967 - 368ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9757 - val_loss: 0.4821 - val_categorical_accuracy: 0.9034 - 363ms/epoch - 7ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9745 - val_loss: 0.4953 - val_categorical_accuracy: 0.8989 - 364ms/epoch - 7ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9755 - val_loss: 0.4897 - val_categorical_accuracy: 0.8989 - 380ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9756 - val_loss: 0.4736 - val_categorical_accuracy: 0.9064 - 416ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9733 - val_loss: 0.5024 - val_categorical_accuracy: 0.9000 - 356ms/epoch - 7ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.1597 - categorical_accuracy: 0.9569 - val_loss: 0.5002 - val_categorical_accuracy: 0.8939 - 368ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9745 - val_loss: 0.5138 - val_categorical_accuracy: 0.8949 - 364ms/epoch - 7ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9719 - val_loss: 0.5281 - val_categorical_accuracy: 0.8928 - 356ms/epoch - 7ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.1353 - categorical_accuracy: 0.9595 - val_loss: 0.5889 - val_categorical_accuracy: 0.8756 - 401ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.1273 - categorical_accuracy: 0.9607 - val_loss: 0.4393 - val_categorical_accuracy: 0.9081 - 464ms/epoch - 9ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9766 - val_loss: 0.4565 - val_categorical_accuracy: 0.9083 - 452ms/epoch - 9ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9768 - val_loss: 0.4812 - val_categorical_accuracy: 0.9006 - 352ms/epoch - 7ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9757 - val_loss: 0.4589 - val_categorical_accuracy: 0.9070 - 355ms/epoch - 7ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9753 - val_loss: 0.4696 - val_categorical_accuracy: 0.9046 - 348ms/epoch - 7ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9757 - val_loss: 0.4959 - val_categorical_accuracy: 0.9018 - 365ms/epoch - 7ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9714 - val_loss: 0.5256 - val_categorical_accuracy: 0.8979 - 352ms/epoch - 7ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.1529 - categorical_accuracy: 0.9549 - val_loss: 0.4756 - val_categorical_accuracy: 0.8968 - 424ms/epoch - 9ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9769 - val_loss: 0.4644 - val_categorical_accuracy: 0.9067 - 364ms/epoch - 7ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9764 - val_loss: 0.4796 - val_categorical_accuracy: 0.9018 - 364ms/epoch - 7ms/step
Epoch 958/1500
49/49 - 1s - loss: 0.0687 - categorical_accuracy: 0.9753 - val_loss: 0.7578 - val_categorical_accuracy: 0.8488 - 540ms/epoch - 11ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9464 - val_loss: 0.4608 - val_categorical_accuracy: 0.9012 - 360ms/epoch - 7ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9756 - val_loss: 0.4736 - val_categorical_accuracy: 0.9012 - 440ms/epoch - 9ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9762 - val_loss: 0.4705 - val_categorical_accuracy: 0.9008 - 372ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9766 - val_loss: 0.4845 - val_categorical_accuracy: 0.9021 - 368ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9761 - val_loss: 0.5022 - val_categorical_accuracy: 0.9016 - 384ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9768 - val_loss: 0.4670 - val_categorical_accuracy: 0.9090 - 372ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9766 - val_loss: 0.5176 - val_categorical_accuracy: 0.8987 - 416ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9753 - val_loss: 0.5144 - val_categorical_accuracy: 0.8971 - 370ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9743 - val_loss: 0.4985 - val_categorical_accuracy: 0.9030 - 380ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9735 - val_loss: 0.4850 - val_categorical_accuracy: 0.9060 - 368ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9763 - val_loss: 0.4850 - val_categorical_accuracy: 0.9034 - 366ms/epoch - 7ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9773 - val_loss: 0.5163 - val_categorical_accuracy: 0.8992 - 396ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9757 - val_loss: 0.5308 - val_categorical_accuracy: 0.8934 - 447ms/epoch - 9ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.2213 - categorical_accuracy: 0.9406 - val_loss: 0.4462 - val_categorical_accuracy: 0.9055 - 452ms/epoch - 9ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9762 - val_loss: 0.4729 - val_categorical_accuracy: 0.9041 - 441ms/epoch - 9ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9768 - val_loss: 0.4737 - val_categorical_accuracy: 0.9051 - 359ms/epoch - 7ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9771 - val_loss: 0.4704 - val_categorical_accuracy: 0.9085 - 364ms/epoch - 7ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9776 - val_loss: 0.4922 - val_categorical_accuracy: 0.9030 - 362ms/epoch - 7ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9757 - val_loss: 0.4819 - val_categorical_accuracy: 0.9045 - 352ms/epoch - 7ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9756 - val_loss: 0.5053 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9717 - val_loss: 0.5164 - val_categorical_accuracy: 0.8992 - 432ms/epoch - 9ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.1509 - categorical_accuracy: 0.9544 - val_loss: 0.4745 - val_categorical_accuracy: 0.9014 - 360ms/epoch - 7ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9752 - val_loss: 0.4980 - val_categorical_accuracy: 0.8989 - 376ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9756 - val_loss: 0.4811 - val_categorical_accuracy: 0.9034 - 371ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.1465 - categorical_accuracy: 0.9548 - val_loss: 0.4589 - val_categorical_accuracy: 0.9018 - 360ms/epoch - 7ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9769 - val_loss: 0.5017 - val_categorical_accuracy: 0.8952 - 416ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.5052 - val_categorical_accuracy: 0.8933 - 438ms/epoch - 9ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9747 - val_loss: 0.5004 - val_categorical_accuracy: 0.9028 - 382ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9765 - val_loss: 0.5101 - val_categorical_accuracy: 0.8990 - 358ms/epoch - 7ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9744 - val_loss: 0.5007 - val_categorical_accuracy: 0.9040 - 367ms/epoch - 7ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9766 - val_loss: 0.4865 - val_categorical_accuracy: 0.9065 - 336ms/epoch - 7ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9757 - val_loss: 0.4921 - val_categorical_accuracy: 0.9058 - 336ms/epoch - 7ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9755 - val_loss: 0.5890 - val_categorical_accuracy: 0.8799 - 411ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.1510 - categorical_accuracy: 0.9539 - val_loss: 0.4766 - val_categorical_accuracy: 0.9072 - 384ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9767 - val_loss: 0.5107 - val_categorical_accuracy: 0.8997 - 384ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9780 - val_loss: 0.4731 - val_categorical_accuracy: 0.9111 - 384ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 1s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.5184 - val_categorical_accuracy: 0.9005 - 544ms/epoch - 11ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9760 - val_loss: 0.5800 - val_categorical_accuracy: 0.8864 - 349ms/epoch - 7ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.2267 - categorical_accuracy: 0.9390 - val_loss: 0.4513 - val_categorical_accuracy: 0.9077 - 405ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9764 - val_loss: 0.4695 - val_categorical_accuracy: 0.9051 - 370ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9763 - val_loss: 0.4921 - val_categorical_accuracy: 0.9041 - 360ms/epoch - 7ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9765 - val_loss: 0.4750 - val_categorical_accuracy: 0.9103 - 365ms/epoch - 7ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9769 - val_loss: 0.4927 - val_categorical_accuracy: 0.9035 - 455ms/epoch - 9ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9763 - val_loss: 0.5066 - val_categorical_accuracy: 0.9032 - 450ms/epoch - 9ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9757 - val_loss: 0.4892 - val_categorical_accuracy: 0.9071 - 360ms/epoch - 7ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9763 - val_loss: 0.5266 - val_categorical_accuracy: 0.8970 - 366ms/epoch - 7ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9737 - val_loss: 0.5176 - val_categorical_accuracy: 0.9024 - 404ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9772 - val_loss: 0.4953 - val_categorical_accuracy: 0.9066 - 365ms/epoch - 7ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9515 - val_loss: 0.4612 - val_categorical_accuracy: 0.8997 - 424ms/epoch - 9ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9759 - val_loss: 0.4554 - val_categorical_accuracy: 0.9101 - 428ms/epoch - 9ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9769 - val_loss: 0.4881 - val_categorical_accuracy: 0.9042 - 446ms/epoch - 9ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9767 - val_loss: 0.5125 - val_categorical_accuracy: 0.8998 - 461ms/epoch - 9ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9776 - val_loss: 0.4979 - val_categorical_accuracy: 0.9019 - 450ms/epoch - 9ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9770 - val_loss: 0.5313 - val_categorical_accuracy: 0.8988 - 459ms/epoch - 9ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9474 - val_loss: 0.4792 - val_categorical_accuracy: 0.8929 - 469ms/epoch - 10ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9760 - val_loss: 0.4924 - val_categorical_accuracy: 0.9020 - 466ms/epoch - 10ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9759 - val_loss: 0.5199 - val_categorical_accuracy: 0.8963 - 450ms/epoch - 9ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9756 - val_loss: 0.5473 - val_categorical_accuracy: 0.8911 - 468ms/epoch - 10ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9732 - val_loss: 0.4986 - val_categorical_accuracy: 0.9041 - 468ms/epoch - 10ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9765 - val_loss: 0.4825 - val_categorical_accuracy: 0.9081 - 459ms/epoch - 9ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9726 - val_loss: 0.5127 - val_categorical_accuracy: 0.9027 - 452ms/epoch - 9ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9764 - val_loss: 0.5020 - val_categorical_accuracy: 0.9051 - 470ms/epoch - 10ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9751 - val_loss: 0.5086 - val_categorical_accuracy: 0.9068 - 453ms/epoch - 9ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9768 - val_loss: 0.5600 - val_categorical_accuracy: 0.8886 - 456ms/epoch - 9ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.1313 - categorical_accuracy: 0.9615 - val_loss: 0.7731 - val_categorical_accuracy: 0.8207 - 442ms/epoch - 9ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.1040 - categorical_accuracy: 0.9645 - val_loss: 0.4900 - val_categorical_accuracy: 0.9030 - 466ms/epoch - 10ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9774 - val_loss: 0.4789 - val_categorical_accuracy: 0.9079 - 455ms/epoch - 9ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9764 - val_loss: 0.4830 - val_categorical_accuracy: 0.9073 - 443ms/epoch - 9ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9776 - val_loss: 0.5137 - val_categorical_accuracy: 0.9019 - 423ms/epoch - 9ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.2786 - categorical_accuracy: 0.9290 - val_loss: 0.4319 - val_categorical_accuracy: 0.9043 - 408ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9765 - val_loss: 0.4775 - val_categorical_accuracy: 0.9022 - 398ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9763 - val_loss: 0.4813 - val_categorical_accuracy: 0.9051 - 411ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9771 - val_loss: 0.4784 - val_categorical_accuracy: 0.9068 - 428ms/epoch - 9ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9771 - val_loss: 0.4724 - val_categorical_accuracy: 0.9076 - 423ms/epoch - 9ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9782 - val_loss: 0.4865 - val_categorical_accuracy: 0.9092 - 418ms/epoch - 9ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9768 - val_loss: 0.4876 - val_categorical_accuracy: 0.9072 - 437ms/epoch - 9ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9742 - val_loss: 0.5815 - val_categorical_accuracy: 0.8856 - 407ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.1708 - categorical_accuracy: 0.9533 - val_loss: 0.4567 - val_categorical_accuracy: 0.9095 - 444ms/epoch - 9ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9780 - val_loss: 0.4770 - val_categorical_accuracy: 0.9058 - 405ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9765 - val_loss: 0.4693 - val_categorical_accuracy: 0.9090 - 430ms/epoch - 9ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9777 - val_loss: 0.5135 - val_categorical_accuracy: 0.8974 - 442ms/epoch - 9ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9771 - val_loss: 0.5815 - val_categorical_accuracy: 0.8855 - 424ms/epoch - 9ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.1318 - categorical_accuracy: 0.9598 - val_loss: 0.4905 - val_categorical_accuracy: 0.8981 - 427ms/epoch - 9ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9762 - val_loss: 0.4892 - val_categorical_accuracy: 0.9030 - 423ms/epoch - 9ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9781 - val_loss: 0.4827 - val_categorical_accuracy: 0.9103 - 427ms/epoch - 9ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9775 - val_loss: 0.4942 - val_categorical_accuracy: 0.9066 - 410ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9776 - val_loss: 0.4994 - val_categorical_accuracy: 0.9059 - 412ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9758 - val_loss: 0.4973 - val_categorical_accuracy: 0.9062 - 408ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.4981 - val_categorical_accuracy: 0.9091 - 442ms/epoch - 9ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9754 - val_loss: 0.5192 - val_categorical_accuracy: 0.9043 - 459ms/epoch - 9ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9764 - val_loss: 0.5118 - val_categorical_accuracy: 0.9037 - 410ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9778 - val_loss: 0.5345 - val_categorical_accuracy: 0.8974 - 432ms/epoch - 9ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9766 - val_loss: 0.5483 - val_categorical_accuracy: 0.8964 - 418ms/epoch - 9ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.3090 - categorical_accuracy: 0.9283 - val_loss: 0.5276 - val_categorical_accuracy: 0.8786 - 424ms/epoch - 9ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9741 - val_loss: 0.4826 - val_categorical_accuracy: 0.9023 - 428ms/epoch - 9ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9770 - val_loss: 0.5055 - val_categorical_accuracy: 0.9029 - 427ms/epoch - 9ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9742 - val_loss: 0.4847 - val_categorical_accuracy: 0.9044 - 443ms/epoch - 9ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9770 - val_loss: 0.5198 - val_categorical_accuracy: 0.8988 - 433ms/epoch - 9ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9762 - val_loss: 0.4968 - val_categorical_accuracy: 0.9055 - 444ms/epoch - 9ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9774 - val_loss: 0.5038 - val_categorical_accuracy: 0.9080 - 435ms/epoch - 9ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9782 - val_loss: 0.5022 - val_categorical_accuracy: 0.9057 - 441ms/epoch - 9ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9780 - val_loss: 0.5359 - val_categorical_accuracy: 0.8974 - 424ms/epoch - 9ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9768 - val_loss: 0.5050 - val_categorical_accuracy: 0.9073 - 425ms/epoch - 9ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9783 - val_loss: 0.5044 - val_categorical_accuracy: 0.9061 - 430ms/epoch - 9ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9768 - val_loss: 0.5122 - val_categorical_accuracy: 0.9043 - 411ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9748 - val_loss: 0.5247 - val_categorical_accuracy: 0.8974 - 444ms/epoch - 9ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9770 - val_loss: 0.5228 - val_categorical_accuracy: 0.9039 - 446ms/epoch - 9ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9745 - val_loss: 0.5236 - val_categorical_accuracy: 0.9024 - 475ms/epoch - 10ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9764 - val_loss: 0.5148 - val_categorical_accuracy: 0.9030 - 406ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9780 - val_loss: 0.5454 - val_categorical_accuracy: 0.8980 - 414ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9764 - val_loss: 0.5151 - val_categorical_accuracy: 0.9079 - 444ms/epoch - 9ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9740 - val_loss: 0.5404 - val_categorical_accuracy: 0.8999 - 405ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9762 - val_loss: 0.5246 - val_categorical_accuracy: 0.9060 - 425ms/epoch - 9ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9779 - val_loss: 0.5315 - val_categorical_accuracy: 0.9012 - 433ms/epoch - 9ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.1633 - categorical_accuracy: 0.9538 - val_loss: 0.5152 - val_categorical_accuracy: 0.9020 - 411ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4997 - val_categorical_accuracy: 0.9054 - 415ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.5111 - val_categorical_accuracy: 0.9064 - 412ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9775 - val_loss: 0.5531 - val_categorical_accuracy: 0.8910 - 424ms/epoch - 9ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9757 - val_loss: 0.6045 - val_categorical_accuracy: 0.8829 - 423ms/epoch - 9ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.1957 - categorical_accuracy: 0.9460 - val_loss: 0.4629 - val_categorical_accuracy: 0.9063 - 443ms/epoch - 9ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9775 - val_loss: 0.4949 - val_categorical_accuracy: 0.9041 - 425ms/epoch - 9ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9768 - val_loss: 0.5345 - val_categorical_accuracy: 0.8944 - 444ms/epoch - 9ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9771 - val_loss: 0.4944 - val_categorical_accuracy: 0.9082 - 422ms/epoch - 9ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9780 - val_loss: 0.5085 - val_categorical_accuracy: 0.9086 - 410ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9783 - val_loss: 0.5042 - val_categorical_accuracy: 0.9057 - 430ms/epoch - 9ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.1198 - categorical_accuracy: 0.9647 - val_loss: 0.7837 - val_categorical_accuracy: 0.8346 - 405ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9537 - val_loss: 0.4938 - val_categorical_accuracy: 0.8988 - 412ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9758 - val_loss: 0.5179 - val_categorical_accuracy: 0.8985 - 426ms/epoch - 9ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9776 - val_loss: 0.5074 - val_categorical_accuracy: 0.9044 - 442ms/epoch - 9ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9781 - val_loss: 0.4998 - val_categorical_accuracy: 0.9063 - 421ms/epoch - 9ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9790 - val_loss: 0.5018 - val_categorical_accuracy: 0.9046 - 430ms/epoch - 9ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9747 - val_loss: 0.5852 - val_categorical_accuracy: 0.8824 - 436ms/epoch - 9ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.1963 - categorical_accuracy: 0.9450 - val_loss: 0.4693 - val_categorical_accuracy: 0.9059 - 416ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9773 - val_loss: 0.4896 - val_categorical_accuracy: 0.9065 - 440ms/epoch - 9ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.4858 - val_categorical_accuracy: 0.9070 - 401ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9783 - val_loss: 0.4886 - val_categorical_accuracy: 0.9072 - 445ms/epoch - 9ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9776 - val_loss: 0.5156 - val_categorical_accuracy: 0.9017 - 429ms/epoch - 9ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9776 - val_loss: 0.5351 - val_categorical_accuracy: 0.9006 - 411ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9774 - val_loss: 0.5313 - val_categorical_accuracy: 0.9018 - 428ms/epoch - 9ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9776 - val_loss: 0.4952 - val_categorical_accuracy: 0.9092 - 409ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9786 - val_loss: 0.5300 - val_categorical_accuracy: 0.9011 - 431ms/epoch - 9ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9771 - val_loss: 0.5133 - val_categorical_accuracy: 0.9090 - 426ms/epoch - 9ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9789 - val_loss: 0.5190 - val_categorical_accuracy: 0.9051 - 446ms/epoch - 9ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9779 - val_loss: 0.5129 - val_categorical_accuracy: 0.9051 - 423ms/epoch - 9ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9778 - val_loss: 0.5579 - val_categorical_accuracy: 0.8976 - 418ms/epoch - 9ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9765 - val_loss: 0.5277 - val_categorical_accuracy: 0.9069 - 430ms/epoch - 9ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9778 - val_loss: 0.5455 - val_categorical_accuracy: 0.8988 - 412ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.5952 - val_categorical_accuracy: 0.8902 - 425ms/epoch - 9ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.2197 - categorical_accuracy: 0.9403 - val_loss: 0.4678 - val_categorical_accuracy: 0.9058 - 426ms/epoch - 9ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9777 - val_loss: 0.4765 - val_categorical_accuracy: 0.9061 - 441ms/epoch - 9ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.4902 - val_categorical_accuracy: 0.9076 - 428ms/epoch - 9ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9786 - val_loss: 0.5414 - val_categorical_accuracy: 0.8980 - 431ms/epoch - 9ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9781 - val_loss: 0.5049 - val_categorical_accuracy: 0.9076 - 432ms/epoch - 9ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9783 - val_loss: 0.5542 - val_categorical_accuracy: 0.8952 - 419ms/epoch - 9ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9764 - val_loss: 0.5250 - val_categorical_accuracy: 0.9074 - 430ms/epoch - 9ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.2237 - categorical_accuracy: 0.9487 - val_loss: 0.5433 - val_categorical_accuracy: 0.8635 - 416ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9683 - val_loss: 0.4923 - val_categorical_accuracy: 0.8979 - 442ms/epoch - 9ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9767 - val_loss: 0.4963 - val_categorical_accuracy: 0.9000 - 412ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9780 - val_loss: 0.5242 - val_categorical_accuracy: 0.8976 - 414ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9784 - val_loss: 0.5097 - val_categorical_accuracy: 0.9032 - 430ms/epoch - 9ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9782 - val_loss: 0.5187 - val_categorical_accuracy: 0.9045 - 424ms/epoch - 9ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9793 - val_loss: 0.5235 - val_categorical_accuracy: 0.9024 - 443ms/epoch - 9ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9767 - val_loss: 0.5419 - val_categorical_accuracy: 0.8999 - 437ms/epoch - 9ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9775 - val_loss: 0.5318 - val_categorical_accuracy: 0.9015 - 443ms/epoch - 9ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9775 - val_loss: 0.5720 - val_categorical_accuracy: 0.8956 - 427ms/epoch - 9ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9783 - val_loss: 0.5505 - val_categorical_accuracy: 0.8975 - 411ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9781 - val_loss: 0.5282 - val_categorical_accuracy: 0.9052 - 425ms/epoch - 9ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.1667 - categorical_accuracy: 0.9574 - val_loss: 0.8331 - val_categorical_accuracy: 0.8209 - 444ms/epoch - 9ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9673 - val_loss: 0.4793 - val_categorical_accuracy: 0.9081 - 437ms/epoch - 9ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9782 - val_loss: 0.4988 - val_categorical_accuracy: 0.9075 - 420ms/epoch - 9ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9790 - val_loss: 0.5320 - val_categorical_accuracy: 0.9017 - 428ms/epoch - 9ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9780 - val_loss: 0.5054 - val_categorical_accuracy: 0.9089 - 414ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.5199 - val_categorical_accuracy: 0.9025 - 428ms/epoch - 9ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.1479 - categorical_accuracy: 0.9577 - val_loss: 0.4827 - val_categorical_accuracy: 0.9060 - 411ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9774 - val_loss: 0.4997 - val_categorical_accuracy: 0.9062 - 420ms/epoch - 9ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9782 - val_loss: 0.4930 - val_categorical_accuracy: 0.9095 - 456ms/epoch - 9ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9784 - val_loss: 0.5217 - val_categorical_accuracy: 0.9008 - 426ms/epoch - 9ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9756 - val_loss: 0.5084 - val_categorical_accuracy: 0.9069 - 441ms/epoch - 9ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9784 - val_loss: 0.5306 - val_categorical_accuracy: 0.9040 - 420ms/epoch - 9ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9781 - val_loss: 0.5277 - val_categorical_accuracy: 0.9032 - 428ms/epoch - 9ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9791 - val_loss: 0.5530 - val_categorical_accuracy: 0.9049 - 416ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9741 - val_loss: 0.5368 - val_categorical_accuracy: 0.9004 - 432ms/epoch - 9ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9782 - val_loss: 0.5337 - val_categorical_accuracy: 0.9069 - 448ms/epoch - 9ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9782 - val_loss: 0.5291 - val_categorical_accuracy: 0.9060 - 429ms/epoch - 9ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9779 - val_loss: 0.5322 - val_categorical_accuracy: 0.9042 - 428ms/epoch - 9ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9778 - val_loss: 0.5282 - val_categorical_accuracy: 0.9060 - 422ms/epoch - 9ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9501 - val_loss: 0.4864 - val_categorical_accuracy: 0.9056 - 408ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9784 - val_loss: 0.5142 - val_categorical_accuracy: 0.9050 - 421ms/epoch - 9ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.5013 - val_categorical_accuracy: 0.9084 - 415ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9765 - val_loss: 0.5407 - val_categorical_accuracy: 0.9012 - 445ms/epoch - 9ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9768 - val_loss: 0.5220 - val_categorical_accuracy: 0.9026 - 420ms/epoch - 9ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.5255 - val_categorical_accuracy: 0.9071 - 445ms/epoch - 9ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9786 - val_loss: 0.5306 - val_categorical_accuracy: 0.9064 - 419ms/epoch - 9ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9799 - val_loss: 0.5279 - val_categorical_accuracy: 0.9068 - 446ms/epoch - 9ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9785 - val_loss: 0.5571 - val_categorical_accuracy: 0.8995 - 452ms/epoch - 9ms/step
Epoch 1154/1500
49/49 - 1s - loss: 0.0629 - categorical_accuracy: 0.9775 - val_loss: 0.5819 - val_categorical_accuracy: 0.8954 - 525ms/epoch - 11ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9714 - val_loss: 0.5359 - val_categorical_accuracy: 0.9059 - 449ms/epoch - 9ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.5458 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9779 - val_loss: 0.5315 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9791 - val_loss: 0.5231 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9782 - val_loss: 0.6092 - val_categorical_accuracy: 0.8868 - 370ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9749 - val_loss: 0.5662 - val_categorical_accuracy: 0.9000 - 475ms/epoch - 10ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9779 - val_loss: 0.5458 - val_categorical_accuracy: 0.9054 - 446ms/epoch - 9ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9781 - val_loss: 0.6476 - val_categorical_accuracy: 0.8814 - 399ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.1651 - categorical_accuracy: 0.9569 - val_loss: 0.4954 - val_categorical_accuracy: 0.9068 - 406ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9791 - val_loss: 0.5258 - val_categorical_accuracy: 0.9040 - 386ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.5543 - val_categorical_accuracy: 0.8955 - 406ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9767 - val_loss: 0.5183 - val_categorical_accuracy: 0.9047 - 438ms/epoch - 9ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9759 - val_loss: 0.5519 - val_categorical_accuracy: 0.8982 - 384ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9786 - val_loss: 0.5374 - val_categorical_accuracy: 0.9004 - 393ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.5472 - val_categorical_accuracy: 0.9038 - 324ms/epoch - 7ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.5295 - val_categorical_accuracy: 0.9046 - 340ms/epoch - 7ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0944 - categorical_accuracy: 0.9704 - val_loss: 4.8559 - val_categorical_accuracy: 0.5778 - 346ms/epoch - 7ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.5604 - categorical_accuracy: 0.8622 - val_loss: 0.4357 - val_categorical_accuracy: 0.8923 - 368ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9679 - val_loss: 0.4526 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9763 - val_loss: 0.4679 - val_categorical_accuracy: 0.9052 - 381ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9762 - val_loss: 0.5005 - val_categorical_accuracy: 0.9030 - 408ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9785 - val_loss: 0.5145 - val_categorical_accuracy: 0.8993 - 396ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9771 - val_loss: 0.5104 - val_categorical_accuracy: 0.9048 - 384ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9776 - val_loss: 0.5208 - val_categorical_accuracy: 0.9048 - 432ms/epoch - 9ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9787 - val_loss: 0.5264 - val_categorical_accuracy: 0.9029 - 412ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 1s - loss: 0.0588 - categorical_accuracy: 0.9786 - val_loss: 0.5396 - val_categorical_accuracy: 0.9044 - 542ms/epoch - 11ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9780 - val_loss: 0.5515 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9787 - val_loss: 0.5647 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.1192 - categorical_accuracy: 0.9649 - val_loss: 0.5553 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9750 - val_loss: 0.5287 - val_categorical_accuracy: 0.9002 - 370ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9773 - val_loss: 0.5354 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9782 - val_loss: 0.5240 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9781 - val_loss: 0.5368 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.2988 - categorical_accuracy: 0.9287 - val_loss: 0.4580 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9768 - val_loss: 0.5084 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9778 - val_loss: 0.5314 - val_categorical_accuracy: 0.8987 - 410ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9785 - val_loss: 0.5205 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9787 - val_loss: 0.5447 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9757 - val_loss: 0.5074 - val_categorical_accuracy: 0.9083 - 440ms/epoch - 9ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9784 - val_loss: 0.5067 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9798 - val_loss: 0.5386 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9791 - val_loss: 0.5627 - val_categorical_accuracy: 0.8945 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9543 - val_loss: 0.5151 - val_categorical_accuracy: 0.9012 - 404ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9770 - val_loss: 0.5236 - val_categorical_accuracy: 0.9007 - 410ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.5469 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9790 - val_loss: 0.5320 - val_categorical_accuracy: 0.9036 - 404ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9788 - val_loss: 0.5304 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9791 - val_loss: 0.5516 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9792 - val_loss: 0.5225 - val_categorical_accuracy: 0.9094 - 410ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9791 - val_loss: 0.5654 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9774 - val_loss: 0.5611 - val_categorical_accuracy: 0.8981 - 410ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9783 - val_loss: 0.5572 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.1789 - categorical_accuracy: 0.9544 - val_loss: 0.4851 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 1s - loss: 0.0609 - categorical_accuracy: 0.9782 - val_loss: 0.4988 - val_categorical_accuracy: 0.9094 - 580ms/epoch - 12ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9799 - val_loss: 0.5170 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9797 - val_loss: 0.5100 - val_categorical_accuracy: 0.9081 - 404ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9791 - val_loss: 0.5312 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9788 - val_loss: 0.5424 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9746 - val_loss: 0.5455 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9798 - val_loss: 0.5366 - val_categorical_accuracy: 0.9076 - 410ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9793 - val_loss: 0.5408 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9779 - val_loss: 0.5761 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9763 - val_loss: 0.5297 - val_categorical_accuracy: 0.9068 - 410ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9773 - val_loss: 0.5347 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9754 - val_loss: 0.5585 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9787 - val_loss: 0.5457 - val_categorical_accuracy: 0.9044 - 404ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.1843 - categorical_accuracy: 0.9536 - val_loss: 0.5123 - val_categorical_accuracy: 0.8897 - 390ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9765 - val_loss: 0.5243 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9793 - val_loss: 0.5145 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9791 - val_loss: 0.5512 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9787 - val_loss: 0.5429 - val_categorical_accuracy: 0.9072 - 405ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9786 - val_loss: 0.5309 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9707 - val_loss: 1.0244 - val_categorical_accuracy: 0.8100 - 410ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.2969 - categorical_accuracy: 0.9286 - val_loss: 0.4686 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9775 - val_loss: 0.4976 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9796 - val_loss: 0.5217 - val_categorical_accuracy: 0.9024 - 404ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9777 - val_loss: 0.5098 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9786 - val_loss: 0.5135 - val_categorical_accuracy: 0.9076 - 410ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9792 - val_loss: 0.5473 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9793 - val_loss: 0.5165 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9794 - val_loss: 0.5529 - val_categorical_accuracy: 0.9011 - 404ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9796 - val_loss: 0.5454 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.2595 - categorical_accuracy: 0.9399 - val_loss: 0.4751 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9714 - val_loss: 0.4953 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9782 - val_loss: 0.5192 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9797 - val_loss: 0.5231 - val_categorical_accuracy: 0.9035 - 402ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9796 - val_loss: 0.5151 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5308 - val_categorical_accuracy: 0.9061 - 410ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9775 - val_loss: 0.5545 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9789 - val_loss: 0.5334 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9787 - val_loss: 0.5268 - val_categorical_accuracy: 0.9074 - 402ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9786 - val_loss: 0.5363 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9796 - val_loss: 0.5562 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5495 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.5488 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9776 - val_loss: 0.5502 - val_categorical_accuracy: 0.9026 - 402ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9788 - val_loss: 0.5545 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9786 - val_loss: 0.6544 - val_categorical_accuracy: 0.8788 - 410ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9751 - val_loss: 0.5407 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9795 - val_loss: 0.5683 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9769 - val_loss: 0.5561 - val_categorical_accuracy: 0.9058 - 404ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.1933 - categorical_accuracy: 0.9502 - val_loss: 0.5028 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9769 - val_loss: 0.5051 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9797 - val_loss: 0.5164 - val_categorical_accuracy: 0.9067 - 410ms/epoch - 8ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.5367 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9793 - val_loss: 0.5339 - val_categorical_accuracy: 0.9067 - 401ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.1311 - categorical_accuracy: 0.9630 - val_loss: 0.4938 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9789 - val_loss: 0.5155 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5156 - val_categorical_accuracy: 0.9087 - 410ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9795 - val_loss: 0.5315 - val_categorical_accuracy: 0.9047 - 404ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5457 - val_categorical_accuracy: 0.9019 - 406ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9787 - val_loss: 0.5727 - val_categorical_accuracy: 0.8973 - 390ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9763 - val_loss: 0.5546 - val_categorical_accuracy: 0.9028 - 410ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9786 - val_loss: 0.5552 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.5633 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9786 - val_loss: 0.5609 - val_categorical_accuracy: 0.9040 - 392ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9783 - val_loss: 0.5657 - val_categorical_accuracy: 0.9024 - 380ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.5735 - val_categorical_accuracy: 0.9024 - 410ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.2137 - categorical_accuracy: 0.9473 - val_loss: 0.4936 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9782 - val_loss: 0.5283 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.5329 - val_categorical_accuracy: 0.9059 - 415ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9788 - val_loss: 0.5377 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9800 - val_loss: 0.5450 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9795 - val_loss: 0.5730 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9751 - val_loss: 0.5578 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5412 - val_categorical_accuracy: 0.9064 - 415ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.1982 - categorical_accuracy: 0.9512 - val_loss: 0.5136 - val_categorical_accuracy: 0.8867 - 390ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9752 - val_loss: 0.5138 - val_categorical_accuracy: 0.9052 - 410ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9798 - val_loss: 0.5248 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5324 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9811 - val_loss: 0.5586 - val_categorical_accuracy: 0.9003 - 402ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9771 - val_loss: 0.5377 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9795 - val_loss: 0.5440 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9795 - val_loss: 0.5385 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9800 - val_loss: 0.5730 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9761 - val_loss: 0.6016 - val_categorical_accuracy: 0.8949 - 405ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9539 - val_loss: 0.4879 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9799 - val_loss: 0.5228 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9798 - val_loss: 0.5384 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9786 - val_loss: 0.5582 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9793 - val_loss: 0.5322 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5410 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9783 - val_loss: 0.5430 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9510 - val_loss: 0.4880 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9791 - val_loss: 0.5144 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9806 - val_loss: 0.5196 - val_categorical_accuracy: 0.9072 - 414ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9802 - val_loss: 0.5836 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9773 - val_loss: 0.5309 - val_categorical_accuracy: 0.9058 - 410ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9762 - val_loss: 0.5326 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9773 - val_loss: 0.5428 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5494 - val_categorical_accuracy: 0.9081 - 404ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9796 - val_loss: 0.5543 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9791 - val_loss: 0.5916 - val_categorical_accuracy: 0.8953 - 410ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9794 - val_loss: 0.5813 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5852 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.2910 - categorical_accuracy: 0.9305 - val_loss: 0.4769 - val_categorical_accuracy: 0.9063 - 405ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.5017 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5048 - val_categorical_accuracy: 0.9090 - 410ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9808 - val_loss: 0.5129 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.5428 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9787 - val_loss: 0.5436 - val_categorical_accuracy: 0.9072 - 404ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9805 - val_loss: 0.5387 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9806 - val_loss: 0.5740 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9782 - val_loss: 0.5742 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9792 - val_loss: 0.6257 - val_categorical_accuracy: 0.8917 - 410ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.2100 - categorical_accuracy: 0.9472 - val_loss: 0.4853 - val_categorical_accuracy: 0.8980 - 414ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9786 - val_loss: 0.5026 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9802 - val_loss: 0.5183 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9810 - val_loss: 0.5566 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.5398 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5526 - val_categorical_accuracy: 0.9057 - 402ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5614 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9789 - val_loss: 0.5624 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9792 - val_loss: 0.5689 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9788 - val_loss: 0.5482 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9798 - val_loss: 0.5504 - val_categorical_accuracy: 0.9075 - 414ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9785 - val_loss: 0.5766 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9784 - val_loss: 0.5635 - val_categorical_accuracy: 0.9033 - 410ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9797 - val_loss: 0.5768 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9788 - val_loss: 0.5826 - val_categorical_accuracy: 0.9012 - 410ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5746 - val_categorical_accuracy: 0.9021 - 402ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9793 - val_loss: 0.5777 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9796 - val_loss: 0.6102 - val_categorical_accuracy: 0.8982 - 410ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9759 - val_loss: 0.5705 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9798 - val_loss: 0.6108 - val_categorical_accuracy: 0.8974 - 404ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9796 - val_loss: 0.6061 - val_categorical_accuracy: 0.8959 - 406ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9797 - val_loss: 0.5848 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9768 - val_loss: 0.5785 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9800 - val_loss: 0.5628 - val_categorical_accuracy: 0.9076 - 397ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5854 - val_categorical_accuracy: 0.8990 - 404ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9796 - val_loss: 0.6182 - val_categorical_accuracy: 0.8968 - 406ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9788 - val_loss: 0.6251 - val_categorical_accuracy: 0.8924 - 389ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.2331 - categorical_accuracy: 0.9401 - val_loss: 0.5102 - val_categorical_accuracy: 0.9049 - 419ms/epoch - 9ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9794 - val_loss: 0.5312 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9808 - val_loss: 0.5417 - val_categorical_accuracy: 0.9061 - 395ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9810 - val_loss: 0.5553 - val_categorical_accuracy: 0.9069 - 410ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9809 - val_loss: 0.5596 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9799 - val_loss: 0.5835 - val_categorical_accuracy: 0.8980 - 410ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9783 - val_loss: 0.5670 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.6307 - val_categorical_accuracy: 0.8886 - 404ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9755 - val_loss: 0.5777 - val_categorical_accuracy: 0.9040 - 416ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9802 - val_loss: 0.5831 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9803 - val_loss: 0.5814 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9799 - val_loss: 0.5686 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9798 - val_loss: 0.5939 - val_categorical_accuracy: 0.9000 - 404ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.6087 - val_categorical_accuracy: 0.8972 - 406ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9787 - val_loss: 0.5871 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9800 - val_loss: 0.6095 - val_categorical_accuracy: 0.8950 - 410ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.2966 - categorical_accuracy: 0.9321 - val_loss: 0.5059 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9784 - val_loss: 0.5203 - val_categorical_accuracy: 0.9026 - 404ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9792 - val_loss: 0.5329 - val_categorical_accuracy: 0.9056 - 406ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9810 - val_loss: 0.5616 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5514 - val_categorical_accuracy: 0.9033 - 410ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5632 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9805 - val_loss: 0.5584 - val_categorical_accuracy: 0.9036 - 404ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9792 - val_loss: 0.6336 - val_categorical_accuracy: 0.8895 - 406ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.2471 - categorical_accuracy: 0.9417 - val_loss: 0.5183 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.5163 - val_categorical_accuracy: 0.9098 - 410ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9807 - val_loss: 0.5292 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9805 - val_loss: 0.5433 - val_categorical_accuracy: 0.9041 - 414ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9811 - val_loss: 0.5463 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9809 - val_loss: 0.5518 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9799 - val_loss: 0.5713 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9804 - val_loss: 0.5489 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5668 - val_categorical_accuracy: 0.9053 - 404ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9800 - val_loss: 0.5631 - val_categorical_accuracy: 0.9059 - 406ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5750 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9799 - val_loss: 0.5858 - val_categorical_accuracy: 0.9045 - 420ms/epoch - 9ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9794 - val_loss: 0.5741 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.1824 - categorical_accuracy: 0.9486 - val_loss: 0.5209 - val_categorical_accuracy: 0.8964 - 404ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9777 - val_loss: 0.5341 - val_categorical_accuracy: 0.9010 - 406ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.5449 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.5419 - val_categorical_accuracy: 0.9086 - 450ms/epoch - 9ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5570 - val_categorical_accuracy: 0.9051 - 440ms/epoch - 9ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9783 - val_loss: 0.5682 - val_categorical_accuracy: 0.9021 - 414ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9750 - val_loss: 0.5886 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5692 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9807 - val_loss: 0.5556 - val_categorical_accuracy: 0.9085 - 410ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9806 - val_loss: 0.5700 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9795 - val_loss: 0.5967 - val_categorical_accuracy: 0.8973 - 405ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9804 - val_loss: 0.5733 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9806 - val_loss: 0.5563 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5623 - val_categorical_accuracy: 0.9100 - 410ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9805 - val_loss: 0.5890 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.1393 - categorical_accuracy: 0.9601 - val_loss: 0.5300 - val_categorical_accuracy: 0.9053 - 414ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.5415 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9810 - val_loss: 0.5665 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9803 - val_loss: 0.5879 - val_categorical_accuracy: 0.8966 - 410ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.5930 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9746 - val_loss: 0.6048 - val_categorical_accuracy: 0.8935 - 414ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9789 - val_loss: 0.6158 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9780 - val_loss: 0.6000 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9792 - val_loss: 0.5773 - val_categorical_accuracy: 0.9023 - 410ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9766 - val_loss: 0.5868 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9806 - val_loss: 0.5732 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.5784 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9809 - val_loss: 0.5721 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9799 - val_loss: 0.6165 - val_categorical_accuracy: 0.8993 - 410ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.1952 - categorical_accuracy: 0.9457 - val_loss: 0.5306 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5371 - val_categorical_accuracy: 0.9085 - 405ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5586 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.5766 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9810 - val_loss: 0.5590 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9807 - val_loss: 0.5647 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9808 - val_loss: 0.5716 - val_categorical_accuracy: 0.9052 - 414ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9801 - val_loss: 0.5948 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9806 - val_loss: 0.5691 - val_categorical_accuracy: 0.9084 - 410ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.5838 - val_categorical_accuracy: 0.9020 - 410ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5916 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9513 - val_loss: 0.5117 - val_categorical_accuracy: 0.9034 - 414ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9793 - val_loss: 0.5548 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.5553 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9801 - val_loss: 0.5745 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9808 - val_loss: 0.5689 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.2022 - categorical_accuracy: 0.9473 - val_loss: 0.5345 - val_categorical_accuracy: 0.9030 - 414ms/epoch - 8ms/step
Epoch 1430/1500
49/49 - 1s - loss: 0.0558 - categorical_accuracy: 0.9799 - val_loss: 0.5547 - val_categorical_accuracy: 0.9000 - 590ms/epoch - 12ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5580 - val_categorical_accuracy: 0.9084 - 440ms/epoch - 9ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.5662 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5551 - val_categorical_accuracy: 0.9074 - 384ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9812 - val_loss: 0.5603 - val_categorical_accuracy: 0.9033 - 386ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9805 - val_loss: 0.5783 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5800 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9810 - val_loss: 0.5657 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.2743 - categorical_accuracy: 0.9362 - val_loss: 0.4947 - val_categorical_accuracy: 0.8819 - 394ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9709 - val_loss: 0.5089 - val_categorical_accuracy: 0.9038 - 386ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9802 - val_loss: 0.5433 - val_categorical_accuracy: 0.9037 - 380ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9810 - val_loss: 0.5830 - val_categorical_accuracy: 0.8998 - 410ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9778 - val_loss: 0.5554 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9810 - val_loss: 0.5400 - val_categorical_accuracy: 0.9051 - 380ms/epoch - 8ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9804 - val_loss: 0.5614 - val_categorical_accuracy: 0.9045 - 384ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5772 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9807 - val_loss: 0.5638 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9782 - val_loss: 0.5611 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9810 - val_loss: 0.6015 - val_categorical_accuracy: 0.8942 - 380ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9719 - val_loss: 0.5612 - val_categorical_accuracy: 0.9071 - 385ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9811 - val_loss: 0.5781 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.5836 - val_categorical_accuracy: 0.9062 - 410ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9817 - val_loss: 0.6081 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.5859 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9814 - val_loss: 0.6052 - val_categorical_accuracy: 0.9016 - 430ms/epoch - 9ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9805 - val_loss: 0.5715 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9813 - val_loss: 0.6005 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9806 - val_loss: 0.5811 - val_categorical_accuracy: 0.9049 - 410ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9804 - val_loss: 0.5914 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9817 - val_loss: 0.6363 - val_categorical_accuracy: 0.8923 - 420ms/epoch - 9ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.2490 - categorical_accuracy: 0.9414 - val_loss: 0.5048 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9799 - val_loss: 0.5338 - val_categorical_accuracy: 0.9052 - 410ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9809 - val_loss: 0.5407 - val_categorical_accuracy: 0.9054 - 410ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9817 - val_loss: 0.5692 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9798 - val_loss: 0.5820 - val_categorical_accuracy: 0.9028 - 394ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9813 - val_loss: 0.5649 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9785 - val_loss: 0.5621 - val_categorical_accuracy: 0.9086 - 420ms/epoch - 9ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9815 - val_loss: 0.5632 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9814 - val_loss: 0.6026 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.1343 - categorical_accuracy: 0.9616 - val_loss: 0.5313 - val_categorical_accuracy: 0.9014 - 380ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9805 - val_loss: 0.5491 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9817 - val_loss: 0.5539 - val_categorical_accuracy: 0.9025 - 410ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9820 - val_loss: 0.5635 - val_categorical_accuracy: 0.9061 - 410ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9797 - val_loss: 0.5647 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9819 - val_loss: 0.5718 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9810 - val_loss: 0.5858 - val_categorical_accuracy: 0.9040 - 420ms/epoch - 9ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9809 - val_loss: 0.5909 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9813 - val_loss: 0.5899 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9741 - val_loss: 0.5788 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9815 - val_loss: 0.5807 - val_categorical_accuracy: 0.9061 - 385ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9816 - val_loss: 0.5892 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9812 - val_loss: 0.5851 - val_categorical_accuracy: 0.9055 - 450ms/epoch - 9ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9800 - val_loss: 0.5779 - val_categorical_accuracy: 0.9093 - 420ms/epoch - 9ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9785 - val_loss: 0.6144 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.5915 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9806 - val_loss: 0.5905 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.6014 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9759 - val_loss: 0.6098 - val_categorical_accuracy: 0.9023 - 410ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9811 - val_loss: 0.5976 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9774 - val_loss: 0.5770 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9803 - val_loss: 0.5880 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9810 - val_loss: 0.6551 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.4163 - categorical_accuracy: 0.9046 - val_loss: 0.5060 - val_categorical_accuracy: 0.8962 - 410ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9760 - val_loss: 0.5320 - val_categorical_accuracy: 0.9039 - 430ms/epoch - 9ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9803 - val_loss: 0.5372 - val_categorical_accuracy: 0.9087 - 395ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.5919 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9812 - val_loss: 0.5703 - val_categorical_accuracy: 0.9015 - 404ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9791 - val_loss: 0.5825 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9810 - val_loss: 0.5791 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9810 - val_loss: 0.5936 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9817 - val_loss: 0.6216 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
processing fold # 4 
Epoch 1/1500
49/49 - 1s - loss: 1.9103 - categorical_accuracy: 0.3594 - val_loss: 1.8836 - val_categorical_accuracy: 0.3552 - 1s/epoch - 25ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8534 - categorical_accuracy: 0.3646 - val_loss: 1.8474 - val_categorical_accuracy: 0.3552 - 400ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8041 - categorical_accuracy: 0.3646 - val_loss: 1.7841 - val_categorical_accuracy: 0.3552 - 390ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7265 - categorical_accuracy: 0.4071 - val_loss: 1.7721 - val_categorical_accuracy: 0.3975 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6626 - categorical_accuracy: 0.4390 - val_loss: 1.6086 - val_categorical_accuracy: 0.4461 - 400ms/epoch - 8ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.5936 - categorical_accuracy: 0.4631 - val_loss: 1.5072 - val_categorical_accuracy: 0.5030 - 390ms/epoch - 8ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5233 - categorical_accuracy: 0.4835 - val_loss: 1.4450 - val_categorical_accuracy: 0.5094 - 390ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4481 - categorical_accuracy: 0.5017 - val_loss: 1.4945 - val_categorical_accuracy: 0.4861 - 390ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.3980 - categorical_accuracy: 0.5164 - val_loss: 1.6145 - val_categorical_accuracy: 0.4493 - 430ms/epoch - 9ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3544 - categorical_accuracy: 0.5275 - val_loss: 1.4593 - val_categorical_accuracy: 0.4891 - 390ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3191 - categorical_accuracy: 0.5413 - val_loss: 1.2440 - val_categorical_accuracy: 0.5656 - 390ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2830 - categorical_accuracy: 0.5502 - val_loss: 1.2380 - val_categorical_accuracy: 0.5602 - 390ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2287 - categorical_accuracy: 0.5672 - val_loss: 1.2668 - val_categorical_accuracy: 0.5594 - 380ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2149 - categorical_accuracy: 0.5690 - val_loss: 1.2214 - val_categorical_accuracy: 0.5740 - 410ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1810 - categorical_accuracy: 0.5817 - val_loss: 1.1675 - val_categorical_accuracy: 0.5761 - 430ms/epoch - 9ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1587 - categorical_accuracy: 0.5877 - val_loss: 1.1610 - val_categorical_accuracy: 0.5867 - 390ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1250 - categorical_accuracy: 0.5967 - val_loss: 1.1077 - val_categorical_accuracy: 0.5998 - 390ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.0952 - categorical_accuracy: 0.6077 - val_loss: 1.0553 - val_categorical_accuracy: 0.6257 - 390ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0962 - categorical_accuracy: 0.6076 - val_loss: 1.0807 - val_categorical_accuracy: 0.6086 - 390ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0562 - categorical_accuracy: 0.6209 - val_loss: 1.0273 - val_categorical_accuracy: 0.6291 - 420ms/epoch - 9ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0931 - categorical_accuracy: 0.6099 - val_loss: 1.1337 - val_categorical_accuracy: 0.5972 - 430ms/epoch - 9ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0133 - categorical_accuracy: 0.6349 - val_loss: 1.0168 - val_categorical_accuracy: 0.6270 - 390ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 0.9859 - categorical_accuracy: 0.6407 - val_loss: 1.0054 - val_categorical_accuracy: 0.6299 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9794 - categorical_accuracy: 0.6463 - val_loss: 1.1171 - val_categorical_accuracy: 0.5751 - 390ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9618 - categorical_accuracy: 0.6512 - val_loss: 0.9353 - val_categorical_accuracy: 0.6545 - 390ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9852 - categorical_accuracy: 0.6491 - val_loss: 0.9455 - val_categorical_accuracy: 0.6506 - 414ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9293 - categorical_accuracy: 0.6598 - val_loss: 0.8729 - val_categorical_accuracy: 0.6829 - 430ms/epoch - 9ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9144 - categorical_accuracy: 0.6652 - val_loss: 0.9270 - val_categorical_accuracy: 0.6605 - 390ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9033 - categorical_accuracy: 0.6689 - val_loss: 0.9128 - val_categorical_accuracy: 0.6500 - 390ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.9021 - categorical_accuracy: 0.6701 - val_loss: 0.8306 - val_categorical_accuracy: 0.6967 - 390ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8571 - categorical_accuracy: 0.6843 - val_loss: 0.8293 - val_categorical_accuracy: 0.6991 - 390ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8560 - categorical_accuracy: 0.6869 - val_loss: 0.8513 - val_categorical_accuracy: 0.6848 - 410ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8564 - categorical_accuracy: 0.6844 - val_loss: 0.9923 - val_categorical_accuracy: 0.6385 - 450ms/epoch - 9ms/step
Epoch 34/1500
49/49 - 0s - loss: 1.2262 - categorical_accuracy: 0.6076 - val_loss: 1.4961 - val_categorical_accuracy: 0.4733 - 390ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 1.1617 - categorical_accuracy: 0.5908 - val_loss: 0.9653 - val_categorical_accuracy: 0.6574 - 400ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.9139 - categorical_accuracy: 0.6692 - val_loss: 0.8651 - val_categorical_accuracy: 0.6858 - 380ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8572 - categorical_accuracy: 0.6845 - val_loss: 0.8875 - val_categorical_accuracy: 0.6681 - 390ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.8225 - categorical_accuracy: 0.6956 - val_loss: 1.0854 - val_categorical_accuracy: 0.6141 - 380ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.8189 - categorical_accuracy: 0.6987 - val_loss: 0.7933 - val_categorical_accuracy: 0.7059 - 390ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7877 - categorical_accuracy: 0.7059 - val_loss: 0.8899 - val_categorical_accuracy: 0.6579 - 390ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7906 - categorical_accuracy: 0.7069 - val_loss: 0.8543 - val_categorical_accuracy: 0.6699 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.8696 - categorical_accuracy: 0.6901 - val_loss: 0.8015 - val_categorical_accuracy: 0.7042 - 440ms/epoch - 9ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7471 - categorical_accuracy: 0.7233 - val_loss: 0.8845 - val_categorical_accuracy: 0.6650 - 430ms/epoch - 9ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7570 - categorical_accuracy: 0.7182 - val_loss: 0.7671 - val_categorical_accuracy: 0.7021 - 390ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7482 - categorical_accuracy: 0.7202 - val_loss: 0.7208 - val_categorical_accuracy: 0.7317 - 390ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7352 - categorical_accuracy: 0.7253 - val_loss: 0.7425 - val_categorical_accuracy: 0.7186 - 390ms/epoch - 8ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7280 - categorical_accuracy: 0.7263 - val_loss: 0.7451 - val_categorical_accuracy: 0.7183 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.8211 - categorical_accuracy: 0.7073 - val_loss: 0.7960 - val_categorical_accuracy: 0.7073 - 380ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.7029 - categorical_accuracy: 0.7377 - val_loss: 0.7119 - val_categorical_accuracy: 0.7345 - 410ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7082 - categorical_accuracy: 0.7328 - val_loss: 0.7409 - val_categorical_accuracy: 0.7153 - 440ms/epoch - 9ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.7048 - categorical_accuracy: 0.7343 - val_loss: 0.6755 - val_categorical_accuracy: 0.7474 - 394ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.6876 - categorical_accuracy: 0.7425 - val_loss: 0.7112 - val_categorical_accuracy: 0.7279 - 390ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6904 - categorical_accuracy: 0.7410 - val_loss: 0.6860 - val_categorical_accuracy: 0.7325 - 390ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6800 - categorical_accuracy: 0.7470 - val_loss: 0.8079 - val_categorical_accuracy: 0.7018 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6693 - categorical_accuracy: 0.7479 - val_loss: 0.9021 - val_categorical_accuracy: 0.6860 - 390ms/epoch - 8ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6979 - categorical_accuracy: 0.7432 - val_loss: 0.6839 - val_categorical_accuracy: 0.7411 - 410ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6441 - categorical_accuracy: 0.7563 - val_loss: 0.6975 - val_categorical_accuracy: 0.7430 - 440ms/epoch - 9ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.7277 - categorical_accuracy: 0.7358 - val_loss: 0.7034 - val_categorical_accuracy: 0.7308 - 390ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6479 - categorical_accuracy: 0.7577 - val_loss: 0.6898 - val_categorical_accuracy: 0.7520 - 390ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6439 - categorical_accuracy: 0.7574 - val_loss: 0.6480 - val_categorical_accuracy: 0.7548 - 390ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6600 - categorical_accuracy: 0.7540 - val_loss: 0.6639 - val_categorical_accuracy: 0.7399 - 400ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6214 - categorical_accuracy: 0.7647 - val_loss: 0.6902 - val_categorical_accuracy: 0.7296 - 390ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.7444 - categorical_accuracy: 0.7339 - val_loss: 0.6264 - val_categorical_accuracy: 0.7671 - 420ms/epoch - 9ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6131 - categorical_accuracy: 0.7675 - val_loss: 0.6032 - val_categorical_accuracy: 0.7704 - 390ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6624 - categorical_accuracy: 0.7562 - val_loss: 0.6438 - val_categorical_accuracy: 0.7594 - 390ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.5983 - categorical_accuracy: 0.7755 - val_loss: 0.5969 - val_categorical_accuracy: 0.7768 - 390ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.6245 - categorical_accuracy: 0.7653 - val_loss: 0.5959 - val_categorical_accuracy: 0.7702 - 390ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.5895 - categorical_accuracy: 0.7770 - val_loss: 0.6168 - val_categorical_accuracy: 0.7696 - 410ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.5987 - categorical_accuracy: 0.7738 - val_loss: 0.6123 - val_categorical_accuracy: 0.7649 - 430ms/epoch - 9ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.6078 - categorical_accuracy: 0.7691 - val_loss: 0.5844 - val_categorical_accuracy: 0.7773 - 390ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5785 - categorical_accuracy: 0.7807 - val_loss: 0.5875 - val_categorical_accuracy: 0.7753 - 390ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.7169 - categorical_accuracy: 0.7467 - val_loss: 0.5984 - val_categorical_accuracy: 0.7769 - 390ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5689 - categorical_accuracy: 0.7858 - val_loss: 0.8908 - val_categorical_accuracy: 0.6946 - 390ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.6303 - categorical_accuracy: 0.7696 - val_loss: 0.5843 - val_categorical_accuracy: 0.7799 - 410ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5715 - categorical_accuracy: 0.7834 - val_loss: 0.5966 - val_categorical_accuracy: 0.7710 - 430ms/epoch - 9ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5662 - categorical_accuracy: 0.7868 - val_loss: 0.6443 - val_categorical_accuracy: 0.7644 - 390ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5703 - categorical_accuracy: 0.7827 - val_loss: 0.5725 - val_categorical_accuracy: 0.7825 - 390ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5645 - categorical_accuracy: 0.7853 - val_loss: 0.6840 - val_categorical_accuracy: 0.7239 - 390ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5536 - categorical_accuracy: 0.7899 - val_loss: 0.6433 - val_categorical_accuracy: 0.7559 - 390ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5458 - categorical_accuracy: 0.7931 - val_loss: 0.5982 - val_categorical_accuracy: 0.7730 - 420ms/epoch - 9ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.8722 - categorical_accuracy: 0.7077 - val_loss: 0.5873 - val_categorical_accuracy: 0.7792 - 435ms/epoch - 9ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5405 - categorical_accuracy: 0.7970 - val_loss: 0.6744 - val_categorical_accuracy: 0.7434 - 390ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5810 - categorical_accuracy: 0.7882 - val_loss: 0.5392 - val_categorical_accuracy: 0.7995 - 390ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5404 - categorical_accuracy: 0.7964 - val_loss: 0.5702 - val_categorical_accuracy: 0.7763 - 390ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5346 - categorical_accuracy: 0.7966 - val_loss: 0.5302 - val_categorical_accuracy: 0.8041 - 390ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5350 - categorical_accuracy: 0.7976 - val_loss: 0.5946 - val_categorical_accuracy: 0.7762 - 390ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5987 - categorical_accuracy: 0.7833 - val_loss: 0.5522 - val_categorical_accuracy: 0.7962 - 410ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5471 - categorical_accuracy: 0.7970 - val_loss: 0.5294 - val_categorical_accuracy: 0.8019 - 440ms/epoch - 9ms/step
Epoch 89/1500
49/49 - 1s - loss: 0.5205 - categorical_accuracy: 0.8040 - val_loss: 0.5604 - val_categorical_accuracy: 0.7940 - 550ms/epoch - 11ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5204 - categorical_accuracy: 0.8045 - val_loss: 0.5606 - val_categorical_accuracy: 0.7878 - 390ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5172 - categorical_accuracy: 0.8047 - val_loss: 0.5265 - val_categorical_accuracy: 0.8047 - 390ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5439 - categorical_accuracy: 0.8004 - val_loss: 0.5617 - val_categorical_accuracy: 0.7927 - 390ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.5122 - categorical_accuracy: 0.8077 - val_loss: 0.5141 - val_categorical_accuracy: 0.8075 - 430ms/epoch - 9ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4991 - categorical_accuracy: 0.8128 - val_loss: 0.5427 - val_categorical_accuracy: 0.7994 - 440ms/epoch - 9ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.5030 - categorical_accuracy: 0.8101 - val_loss: 0.5756 - val_categorical_accuracy: 0.7800 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.5022 - categorical_accuracy: 0.8120 - val_loss: 0.5933 - val_categorical_accuracy: 0.7796 - 390ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.6089 - categorical_accuracy: 0.7869 - val_loss: 0.5268 - val_categorical_accuracy: 0.8034 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4939 - categorical_accuracy: 0.8149 - val_loss: 0.5384 - val_categorical_accuracy: 0.8027 - 390ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4950 - categorical_accuracy: 0.8147 - val_loss: 0.5768 - val_categorical_accuracy: 0.7799 - 390ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4993 - categorical_accuracy: 0.8126 - val_loss: 0.6661 - val_categorical_accuracy: 0.7528 - 410ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4887 - categorical_accuracy: 0.8159 - val_loss: 0.5160 - val_categorical_accuracy: 0.8131 - 430ms/epoch - 9ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4924 - categorical_accuracy: 0.8140 - val_loss: 0.5825 - val_categorical_accuracy: 0.7883 - 390ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.5677 - categorical_accuracy: 0.7944 - val_loss: 0.5443 - val_categorical_accuracy: 0.7960 - 390ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4626 - categorical_accuracy: 0.8268 - val_loss: 0.5294 - val_categorical_accuracy: 0.8011 - 390ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4875 - categorical_accuracy: 0.8164 - val_loss: 0.5184 - val_categorical_accuracy: 0.8072 - 390ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4666 - categorical_accuracy: 0.8250 - val_loss: 0.5628 - val_categorical_accuracy: 0.7893 - 414ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.5044 - categorical_accuracy: 0.8125 - val_loss: 0.5166 - val_categorical_accuracy: 0.8098 - 440ms/epoch - 9ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4611 - categorical_accuracy: 0.8274 - val_loss: 0.5332 - val_categorical_accuracy: 0.8003 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4796 - categorical_accuracy: 0.8204 - val_loss: 0.5491 - val_categorical_accuracy: 0.7972 - 390ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4618 - categorical_accuracy: 0.8271 - val_loss: 0.5437 - val_categorical_accuracy: 0.8058 - 390ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4736 - categorical_accuracy: 0.8231 - val_loss: 0.4939 - val_categorical_accuracy: 0.8146 - 390ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4541 - categorical_accuracy: 0.8288 - val_loss: 0.5073 - val_categorical_accuracy: 0.8142 - 390ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4608 - categorical_accuracy: 0.8276 - val_loss: 0.5209 - val_categorical_accuracy: 0.8022 - 390ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4542 - categorical_accuracy: 0.8306 - val_loss: 0.4764 - val_categorical_accuracy: 0.8239 - 410ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.6055 - categorical_accuracy: 0.7991 - val_loss: 1.1032 - val_categorical_accuracy: 0.6076 - 430ms/epoch - 9ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4890 - categorical_accuracy: 0.8221 - val_loss: 0.5313 - val_categorical_accuracy: 0.8066 - 390ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4448 - categorical_accuracy: 0.8357 - val_loss: 0.5045 - val_categorical_accuracy: 0.8088 - 390ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4593 - categorical_accuracy: 0.8268 - val_loss: 0.5498 - val_categorical_accuracy: 0.7974 - 390ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4382 - categorical_accuracy: 0.8363 - val_loss: 0.4776 - val_categorical_accuracy: 0.8259 - 390ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.6075 - categorical_accuracy: 0.7926 - val_loss: 0.4825 - val_categorical_accuracy: 0.8230 - 420ms/epoch - 9ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4310 - categorical_accuracy: 0.8396 - val_loss: 0.4599 - val_categorical_accuracy: 0.8335 - 435ms/epoch - 9ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4477 - categorical_accuracy: 0.8347 - val_loss: 0.4602 - val_categorical_accuracy: 0.8315 - 390ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4331 - categorical_accuracy: 0.8375 - val_loss: 0.5121 - val_categorical_accuracy: 0.8104 - 390ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4352 - categorical_accuracy: 0.8389 - val_loss: 0.5450 - val_categorical_accuracy: 0.7864 - 390ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4327 - categorical_accuracy: 0.8392 - val_loss: 0.4678 - val_categorical_accuracy: 0.8265 - 390ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4418 - categorical_accuracy: 0.8366 - val_loss: 0.4819 - val_categorical_accuracy: 0.8206 - 390ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4192 - categorical_accuracy: 0.8444 - val_loss: 0.4842 - val_categorical_accuracy: 0.8209 - 410ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4361 - categorical_accuracy: 0.8367 - val_loss: 0.4492 - val_categorical_accuracy: 0.8332 - 430ms/epoch - 9ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4131 - categorical_accuracy: 0.8476 - val_loss: 0.4678 - val_categorical_accuracy: 0.8269 - 390ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4605 - categorical_accuracy: 0.8311 - val_loss: 0.4741 - val_categorical_accuracy: 0.8305 - 390ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4129 - categorical_accuracy: 0.8467 - val_loss: 0.4691 - val_categorical_accuracy: 0.8276 - 390ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4249 - categorical_accuracy: 0.8442 - val_loss: 0.4942 - val_categorical_accuracy: 0.8194 - 390ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4088 - categorical_accuracy: 0.8484 - val_loss: 0.5556 - val_categorical_accuracy: 0.8001 - 390ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4088 - categorical_accuracy: 0.8482 - val_loss: 0.5153 - val_categorical_accuracy: 0.8110 - 410ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.4308 - categorical_accuracy: 0.8387 - val_loss: 0.4699 - val_categorical_accuracy: 0.8318 - 430ms/epoch - 9ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.4064 - categorical_accuracy: 0.8475 - val_loss: 0.5572 - val_categorical_accuracy: 0.7955 - 390ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.4047 - categorical_accuracy: 0.8505 - val_loss: 0.4851 - val_categorical_accuracy: 0.8243 - 395ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.4188 - categorical_accuracy: 0.8470 - val_loss: 0.4319 - val_categorical_accuracy: 0.8458 - 390ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.4575 - categorical_accuracy: 0.8363 - val_loss: 0.7763 - val_categorical_accuracy: 0.7176 - 390ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4188 - categorical_accuracy: 0.8471 - val_loss: 0.5064 - val_categorical_accuracy: 0.8201 - 407ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3881 - categorical_accuracy: 0.8567 - val_loss: 0.5366 - val_categorical_accuracy: 0.7904 - 430ms/epoch - 9ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.4048 - categorical_accuracy: 0.8511 - val_loss: 0.4425 - val_categorical_accuracy: 0.8408 - 395ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3873 - categorical_accuracy: 0.8556 - val_loss: 0.4367 - val_categorical_accuracy: 0.8415 - 395ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3980 - categorical_accuracy: 0.8521 - val_loss: 0.5117 - val_categorical_accuracy: 0.8151 - 390ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3828 - categorical_accuracy: 0.8579 - val_loss: 0.4579 - val_categorical_accuracy: 0.8316 - 390ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.4121 - categorical_accuracy: 0.8484 - val_loss: 0.4567 - val_categorical_accuracy: 0.8372 - 390ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3859 - categorical_accuracy: 0.8576 - val_loss: 0.4681 - val_categorical_accuracy: 0.8294 - 420ms/epoch - 9ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3874 - categorical_accuracy: 0.8566 - val_loss: 0.4592 - val_categorical_accuracy: 0.8310 - 440ms/epoch - 9ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.4074 - categorical_accuracy: 0.8504 - val_loss: 0.5962 - val_categorical_accuracy: 0.7947 - 390ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3880 - categorical_accuracy: 0.8557 - val_loss: 0.4796 - val_categorical_accuracy: 0.8290 - 390ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.8681 - val_loss: 0.4850 - val_categorical_accuracy: 0.8180 - 390ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.4089 - categorical_accuracy: 0.8499 - val_loss: 0.4559 - val_categorical_accuracy: 0.8321 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3651 - categorical_accuracy: 0.8648 - val_loss: 0.4708 - val_categorical_accuracy: 0.8332 - 390ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3857 - categorical_accuracy: 0.8565 - val_loss: 0.4622 - val_categorical_accuracy: 0.8270 - 390ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3783 - categorical_accuracy: 0.8593 - val_loss: 0.4498 - val_categorical_accuracy: 0.8376 - 390ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3901 - categorical_accuracy: 0.8559 - val_loss: 0.6985 - val_categorical_accuracy: 0.7621 - 425ms/epoch - 9ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.4034 - categorical_accuracy: 0.8553 - val_loss: 0.4492 - val_categorical_accuracy: 0.8365 - 392ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3683 - categorical_accuracy: 0.8640 - val_loss: 0.6125 - val_categorical_accuracy: 0.7843 - 394ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3658 - categorical_accuracy: 0.8656 - val_loss: 0.4497 - val_categorical_accuracy: 0.8405 - 390ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3713 - categorical_accuracy: 0.8645 - val_loss: 0.4660 - val_categorical_accuracy: 0.8309 - 390ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3629 - categorical_accuracy: 0.8649 - val_loss: 0.4237 - val_categorical_accuracy: 0.8459 - 410ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3548 - categorical_accuracy: 0.8688 - val_loss: 0.4774 - val_categorical_accuracy: 0.8282 - 430ms/epoch - 9ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3648 - categorical_accuracy: 0.8645 - val_loss: 0.3963 - val_categorical_accuracy: 0.8553 - 430ms/epoch - 9ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3465 - categorical_accuracy: 0.8723 - val_loss: 0.4085 - val_categorical_accuracy: 0.8509 - 390ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.4897 - categorical_accuracy: 0.8349 - val_loss: 0.4380 - val_categorical_accuracy: 0.8402 - 390ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3418 - categorical_accuracy: 0.8741 - val_loss: 0.4790 - val_categorical_accuracy: 0.8264 - 390ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3471 - categorical_accuracy: 0.8727 - val_loss: 0.4886 - val_categorical_accuracy: 0.8177 - 390ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.4524 - categorical_accuracy: 0.8486 - val_loss: 0.4074 - val_categorical_accuracy: 0.8541 - 390ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3532 - categorical_accuracy: 0.8696 - val_loss: 0.4113 - val_categorical_accuracy: 0.8486 - 400ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3472 - categorical_accuracy: 0.8718 - val_loss: 0.3938 - val_categorical_accuracy: 0.8584 - 430ms/epoch - 9ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3473 - categorical_accuracy: 0.8708 - val_loss: 0.3950 - val_categorical_accuracy: 0.8544 - 385ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3652 - categorical_accuracy: 0.8646 - val_loss: 0.7471 - val_categorical_accuracy: 0.7779 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3339 - categorical_accuracy: 0.8804 - val_loss: 0.4021 - val_categorical_accuracy: 0.8551 - 390ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3398 - categorical_accuracy: 0.8757 - val_loss: 0.4016 - val_categorical_accuracy: 0.8525 - 390ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3376 - categorical_accuracy: 0.8761 - val_loss: 0.3881 - val_categorical_accuracy: 0.8578 - 410ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3626 - categorical_accuracy: 0.8658 - val_loss: 0.5062 - val_categorical_accuracy: 0.8296 - 430ms/epoch - 9ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3309 - categorical_accuracy: 0.8788 - val_loss: 0.4154 - val_categorical_accuracy: 0.8513 - 390ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3428 - categorical_accuracy: 0.8726 - val_loss: 0.6265 - val_categorical_accuracy: 0.7701 - 390ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3594 - categorical_accuracy: 0.8725 - val_loss: 0.3682 - val_categorical_accuracy: 0.8681 - 390ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3418 - categorical_accuracy: 0.8731 - val_loss: 0.4792 - val_categorical_accuracy: 0.8329 - 390ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3404 - categorical_accuracy: 0.8740 - val_loss: 0.3727 - val_categorical_accuracy: 0.8639 - 415ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3229 - categorical_accuracy: 0.8807 - val_loss: 0.4132 - val_categorical_accuracy: 0.8541 - 430ms/epoch - 9ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3235 - categorical_accuracy: 0.8807 - val_loss: 0.3982 - val_categorical_accuracy: 0.8499 - 390ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3454 - categorical_accuracy: 0.8731 - val_loss: 0.8422 - val_categorical_accuracy: 0.7268 - 390ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.7321 - categorical_accuracy: 0.7872 - val_loss: 0.3926 - val_categorical_accuracy: 0.8586 - 390ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3192 - categorical_accuracy: 0.8858 - val_loss: 0.3979 - val_categorical_accuracy: 0.8528 - 384ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3222 - categorical_accuracy: 0.8812 - val_loss: 0.4062 - val_categorical_accuracy: 0.8512 - 390ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3168 - categorical_accuracy: 0.8847 - val_loss: 0.5581 - val_categorical_accuracy: 0.8069 - 410ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.6162 - categorical_accuracy: 0.8089 - val_loss: 0.4237 - val_categorical_accuracy: 0.8496 - 430ms/epoch - 9ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3087 - categorical_accuracy: 0.8888 - val_loss: 0.3960 - val_categorical_accuracy: 0.8597 - 390ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3298 - categorical_accuracy: 0.8787 - val_loss: 0.3941 - val_categorical_accuracy: 0.8551 - 384ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3140 - categorical_accuracy: 0.8852 - val_loss: 0.4082 - val_categorical_accuracy: 0.8553 - 390ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3286 - categorical_accuracy: 0.8795 - val_loss: 0.4358 - val_categorical_accuracy: 0.8386 - 390ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3134 - categorical_accuracy: 0.8872 - val_loss: 0.4035 - val_categorical_accuracy: 0.8600 - 410ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3261 - categorical_accuracy: 0.8797 - val_loss: 0.3860 - val_categorical_accuracy: 0.8612 - 430ms/epoch - 9ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.3077 - categorical_accuracy: 0.8888 - val_loss: 0.4519 - val_categorical_accuracy: 0.8444 - 400ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3153 - categorical_accuracy: 0.8832 - val_loss: 0.4071 - val_categorical_accuracy: 0.8552 - 400ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.3092 - categorical_accuracy: 0.8863 - val_loss: 0.3898 - val_categorical_accuracy: 0.8587 - 400ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.3332 - categorical_accuracy: 0.8773 - val_loss: 0.5129 - val_categorical_accuracy: 0.8254 - 400ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.3001 - categorical_accuracy: 0.8895 - val_loss: 0.4185 - val_categorical_accuracy: 0.8492 - 420ms/epoch - 9ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3156 - categorical_accuracy: 0.8830 - val_loss: 0.3869 - val_categorical_accuracy: 0.8613 - 394ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.3031 - categorical_accuracy: 0.8877 - val_loss: 0.3704 - val_categorical_accuracy: 0.8695 - 390ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.3323 - categorical_accuracy: 0.8801 - val_loss: 0.3852 - val_categorical_accuracy: 0.8586 - 390ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2935 - categorical_accuracy: 0.8919 - val_loss: 0.4085 - val_categorical_accuracy: 0.8540 - 390ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.3882 - categorical_accuracy: 0.8666 - val_loss: 0.3742 - val_categorical_accuracy: 0.8658 - 390ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2871 - categorical_accuracy: 0.8967 - val_loss: 0.3954 - val_categorical_accuracy: 0.8596 - 420ms/epoch - 9ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3005 - categorical_accuracy: 0.8895 - val_loss: 0.5212 - val_categorical_accuracy: 0.8238 - 390ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.3022 - categorical_accuracy: 0.8885 - val_loss: 0.3934 - val_categorical_accuracy: 0.8621 - 390ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.3652 - categorical_accuracy: 0.8738 - val_loss: 0.3582 - val_categorical_accuracy: 0.8719 - 390ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2854 - categorical_accuracy: 0.8965 - val_loss: 0.4045 - val_categorical_accuracy: 0.8515 - 390ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.3040 - categorical_accuracy: 0.8891 - val_loss: 0.3923 - val_categorical_accuracy: 0.8563 - 415ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2925 - categorical_accuracy: 0.8931 - val_loss: 0.3525 - val_categorical_accuracy: 0.8732 - 440ms/epoch - 9ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2848 - categorical_accuracy: 0.8967 - val_loss: 0.3554 - val_categorical_accuracy: 0.8752 - 390ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.3194 - categorical_accuracy: 0.8869 - val_loss: 0.4740 - val_categorical_accuracy: 0.8357 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2978 - categorical_accuracy: 0.8902 - val_loss: 0.5232 - val_categorical_accuracy: 0.8269 - 390ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2920 - categorical_accuracy: 0.8935 - val_loss: 0.3894 - val_categorical_accuracy: 0.8638 - 390ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2962 - categorical_accuracy: 0.8923 - val_loss: 0.3741 - val_categorical_accuracy: 0.8670 - 400ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2857 - categorical_accuracy: 0.8967 - val_loss: 0.3965 - val_categorical_accuracy: 0.8623 - 420ms/epoch - 9ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2954 - categorical_accuracy: 0.8907 - val_loss: 0.3843 - val_categorical_accuracy: 0.8604 - 440ms/epoch - 9ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2837 - categorical_accuracy: 0.8967 - val_loss: 0.3521 - val_categorical_accuracy: 0.8752 - 380ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2852 - categorical_accuracy: 0.8958 - val_loss: 0.4733 - val_categorical_accuracy: 0.8389 - 395ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2868 - categorical_accuracy: 0.8940 - val_loss: 0.3668 - val_categorical_accuracy: 0.8684 - 390ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.3160 - categorical_accuracy: 0.8868 - val_loss: 1.4006 - val_categorical_accuracy: 0.6517 - 390ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.3906 - categorical_accuracy: 0.8739 - val_loss: 0.3574 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2765 - categorical_accuracy: 0.8989 - val_loss: 0.4760 - val_categorical_accuracy: 0.8314 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2814 - categorical_accuracy: 0.8975 - val_loss: 0.4675 - val_categorical_accuracy: 0.8368 - 410ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.3034 - categorical_accuracy: 0.8913 - val_loss: 0.4238 - val_categorical_accuracy: 0.8559 - 430ms/epoch - 9ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2660 - categorical_accuracy: 0.9039 - val_loss: 0.3869 - val_categorical_accuracy: 0.8630 - 400ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2835 - categorical_accuracy: 0.8958 - val_loss: 0.4041 - val_categorical_accuracy: 0.8569 - 390ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2669 - categorical_accuracy: 0.9035 - val_loss: 0.4711 - val_categorical_accuracy: 0.8421 - 390ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.4557 - categorical_accuracy: 0.8542 - val_loss: 0.3716 - val_categorical_accuracy: 0.8703 - 390ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2573 - categorical_accuracy: 0.9105 - val_loss: 0.3678 - val_categorical_accuracy: 0.8660 - 411ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2767 - categorical_accuracy: 0.8993 - val_loss: 0.4531 - val_categorical_accuracy: 0.8437 - 396ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2784 - categorical_accuracy: 0.8987 - val_loss: 0.3812 - val_categorical_accuracy: 0.8682 - 390ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2610 - categorical_accuracy: 0.9054 - val_loss: 0.4390 - val_categorical_accuracy: 0.8388 - 390ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2831 - categorical_accuracy: 0.8968 - val_loss: 0.3712 - val_categorical_accuracy: 0.8651 - 390ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.3564 - categorical_accuracy: 0.8809 - val_loss: 0.3568 - val_categorical_accuracy: 0.8770 - 420ms/epoch - 9ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2569 - categorical_accuracy: 0.9089 - val_loss: 0.3524 - val_categorical_accuracy: 0.8780 - 430ms/epoch - 9ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2541 - categorical_accuracy: 0.9091 - val_loss: 0.3603 - val_categorical_accuracy: 0.8748 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2830 - categorical_accuracy: 0.8971 - val_loss: 0.3775 - val_categorical_accuracy: 0.8675 - 390ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2667 - categorical_accuracy: 0.9028 - val_loss: 0.4370 - val_categorical_accuracy: 0.8443 - 390ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2793 - categorical_accuracy: 0.8978 - val_loss: 0.3458 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2471 - categorical_accuracy: 0.9114 - val_loss: 0.3604 - val_categorical_accuracy: 0.8742 - 390ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.3547 - categorical_accuracy: 0.8826 - val_loss: 0.3814 - val_categorical_accuracy: 0.8688 - 410ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2540 - categorical_accuracy: 0.9075 - val_loss: 0.3931 - val_categorical_accuracy: 0.8642 - 430ms/epoch - 9ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2625 - categorical_accuracy: 0.9045 - val_loss: 0.3639 - val_categorical_accuracy: 0.8697 - 385ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2578 - categorical_accuracy: 0.9067 - val_loss: 0.4370 - val_categorical_accuracy: 0.8504 - 390ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2579 - categorical_accuracy: 0.9066 - val_loss: 0.3388 - val_categorical_accuracy: 0.8797 - 390ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2697 - categorical_accuracy: 0.9005 - val_loss: 0.3821 - val_categorical_accuracy: 0.8657 - 390ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2924 - categorical_accuracy: 0.8971 - val_loss: 0.3636 - val_categorical_accuracy: 0.8764 - 410ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2530 - categorical_accuracy: 0.9093 - val_loss: 0.3777 - val_categorical_accuracy: 0.8689 - 435ms/epoch - 9ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9082 - val_loss: 0.3423 - val_categorical_accuracy: 0.8831 - 390ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2483 - categorical_accuracy: 0.9097 - val_loss: 0.4078 - val_categorical_accuracy: 0.8543 - 390ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2599 - categorical_accuracy: 0.9051 - val_loss: 0.3717 - val_categorical_accuracy: 0.8724 - 390ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2399 - categorical_accuracy: 0.9140 - val_loss: 0.3424 - val_categorical_accuracy: 0.8820 - 390ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2693 - categorical_accuracy: 0.9024 - val_loss: 0.3890 - val_categorical_accuracy: 0.8588 - 420ms/epoch - 9ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.3354 - categorical_accuracy: 0.8903 - val_loss: 0.3445 - val_categorical_accuracy: 0.8822 - 440ms/epoch - 9ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2392 - categorical_accuracy: 0.9139 - val_loss: 0.3441 - val_categorical_accuracy: 0.8784 - 390ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2445 - categorical_accuracy: 0.9114 - val_loss: 0.3906 - val_categorical_accuracy: 0.8676 - 390ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2402 - categorical_accuracy: 0.9132 - val_loss: 0.3468 - val_categorical_accuracy: 0.8818 - 390ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2717 - categorical_accuracy: 0.9016 - val_loss: 0.3441 - val_categorical_accuracy: 0.8797 - 384ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2435 - categorical_accuracy: 0.9130 - val_loss: 0.3548 - val_categorical_accuracy: 0.8830 - 390ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2803 - categorical_accuracy: 0.8993 - val_loss: 0.3781 - val_categorical_accuracy: 0.8698 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2346 - categorical_accuracy: 0.9163 - val_loss: 0.3458 - val_categorical_accuracy: 0.8789 - 410ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9138 - val_loss: 0.3958 - val_categorical_accuracy: 0.8676 - 430ms/epoch - 9ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2457 - categorical_accuracy: 0.9123 - val_loss: 0.4028 - val_categorical_accuracy: 0.8606 - 390ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2531 - categorical_accuracy: 0.9073 - val_loss: 0.3563 - val_categorical_accuracy: 0.8751 - 390ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2580 - categorical_accuracy: 0.9114 - val_loss: 0.3942 - val_categorical_accuracy: 0.8584 - 390ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2519 - categorical_accuracy: 0.9088 - val_loss: 0.5065 - val_categorical_accuracy: 0.8331 - 390ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2524 - categorical_accuracy: 0.9080 - val_loss: 0.4245 - val_categorical_accuracy: 0.8463 - 410ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9138 - val_loss: 0.3587 - val_categorical_accuracy: 0.8717 - 440ms/epoch - 9ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2338 - categorical_accuracy: 0.9158 - val_loss: 0.3763 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2426 - categorical_accuracy: 0.9121 - val_loss: 0.4092 - val_categorical_accuracy: 0.8705 - 390ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2431 - categorical_accuracy: 0.9117 - val_loss: 0.3506 - val_categorical_accuracy: 0.8778 - 390ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2362 - categorical_accuracy: 0.9145 - val_loss: 0.4362 - val_categorical_accuracy: 0.8538 - 390ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2371 - categorical_accuracy: 0.9147 - val_loss: 0.3856 - val_categorical_accuracy: 0.8708 - 390ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2317 - categorical_accuracy: 0.9155 - val_loss: 0.3429 - val_categorical_accuracy: 0.8827 - 410ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2279 - categorical_accuracy: 0.9174 - val_loss: 0.3468 - val_categorical_accuracy: 0.8816 - 430ms/epoch - 9ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2718 - categorical_accuracy: 0.9058 - val_loss: 0.3722 - val_categorical_accuracy: 0.8765 - 390ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2391 - categorical_accuracy: 0.9127 - val_loss: 0.4701 - val_categorical_accuracy: 0.8295 - 390ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2412 - categorical_accuracy: 0.9125 - val_loss: 0.3811 - val_categorical_accuracy: 0.8639 - 424ms/epoch - 9ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2316 - categorical_accuracy: 0.9173 - val_loss: 0.3593 - val_categorical_accuracy: 0.8819 - 420ms/epoch - 9ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2383 - categorical_accuracy: 0.9142 - val_loss: 0.3704 - val_categorical_accuracy: 0.8723 - 460ms/epoch - 9ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2425 - categorical_accuracy: 0.9125 - val_loss: 0.3364 - val_categorical_accuracy: 0.8873 - 420ms/epoch - 9ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9187 - val_loss: 0.3424 - val_categorical_accuracy: 0.8812 - 404ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2056 - categorical_accuracy: 0.9273 - val_loss: 0.3778 - val_categorical_accuracy: 0.8765 - 396ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2612 - categorical_accuracy: 0.9069 - val_loss: 0.3932 - val_categorical_accuracy: 0.8655 - 400ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2309 - categorical_accuracy: 0.9160 - val_loss: 0.3770 - val_categorical_accuracy: 0.8794 - 420ms/epoch - 9ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2350 - categorical_accuracy: 0.9145 - val_loss: 0.3478 - val_categorical_accuracy: 0.8804 - 450ms/epoch - 9ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2242 - categorical_accuracy: 0.9193 - val_loss: 0.3525 - val_categorical_accuracy: 0.8780 - 454ms/epoch - 9ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2327 - categorical_accuracy: 0.9159 - val_loss: 0.6492 - val_categorical_accuracy: 0.8046 - 430ms/epoch - 9ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2691 - categorical_accuracy: 0.9081 - val_loss: 0.3473 - val_categorical_accuracy: 0.8844 - 404ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2146 - categorical_accuracy: 0.9233 - val_loss: 0.3443 - val_categorical_accuracy: 0.8796 - 392ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2369 - categorical_accuracy: 0.9141 - val_loss: 0.4069 - val_categorical_accuracy: 0.8619 - 410ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2237 - categorical_accuracy: 0.9198 - val_loss: 0.3563 - val_categorical_accuracy: 0.8810 - 408ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2217 - categorical_accuracy: 0.9204 - val_loss: 0.3397 - val_categorical_accuracy: 0.8850 - 398ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2425 - categorical_accuracy: 0.9134 - val_loss: 0.3670 - val_categorical_accuracy: 0.8778 - 396ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.2236 - categorical_accuracy: 0.9189 - val_loss: 0.3561 - val_categorical_accuracy: 0.8754 - 400ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2107 - categorical_accuracy: 0.9240 - val_loss: 0.3649 - val_categorical_accuracy: 0.8809 - 400ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2205 - categorical_accuracy: 0.9200 - val_loss: 0.4397 - val_categorical_accuracy: 0.8594 - 390ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2186 - categorical_accuracy: 0.9220 - val_loss: 0.4320 - val_categorical_accuracy: 0.8638 - 390ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.3477 - categorical_accuracy: 0.8873 - val_loss: 0.3357 - val_categorical_accuracy: 0.8873 - 400ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2020 - categorical_accuracy: 0.9289 - val_loss: 0.3908 - val_categorical_accuracy: 0.8634 - 390ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2265 - categorical_accuracy: 0.9193 - val_loss: 0.3506 - val_categorical_accuracy: 0.8797 - 390ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.1909 - categorical_accuracy: 0.9326 - val_loss: 0.3530 - val_categorical_accuracy: 0.8809 - 390ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9190 - val_loss: 0.3624 - val_categorical_accuracy: 0.8738 - 400ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2420 - categorical_accuracy: 0.9169 - val_loss: 0.3799 - val_categorical_accuracy: 0.8782 - 399ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2024 - categorical_accuracy: 0.9274 - val_loss: 0.4232 - val_categorical_accuracy: 0.8649 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2231 - categorical_accuracy: 0.9188 - val_loss: 0.4499 - val_categorical_accuracy: 0.8602 - 410ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2355 - categorical_accuracy: 0.9155 - val_loss: 0.5531 - val_categorical_accuracy: 0.8028 - 420ms/epoch - 9ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2301 - categorical_accuracy: 0.9202 - val_loss: 0.3529 - val_categorical_accuracy: 0.8815 - 360ms/epoch - 7ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2375 - categorical_accuracy: 0.9210 - val_loss: 0.3409 - val_categorical_accuracy: 0.8816 - 340ms/epoch - 7ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.2017 - categorical_accuracy: 0.9295 - val_loss: 0.3330 - val_categorical_accuracy: 0.8911 - 320ms/epoch - 7ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.1829 - categorical_accuracy: 0.9362 - val_loss: 0.3745 - val_categorical_accuracy: 0.8810 - 330ms/epoch - 7ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2479 - categorical_accuracy: 0.9110 - val_loss: 0.3533 - val_categorical_accuracy: 0.8820 - 340ms/epoch - 7ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1832 - categorical_accuracy: 0.9366 - val_loss: 0.5215 - val_categorical_accuracy: 0.8458 - 330ms/epoch - 7ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.2356 - categorical_accuracy: 0.9158 - val_loss: 0.3515 - val_categorical_accuracy: 0.8865 - 340ms/epoch - 7ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.2083 - categorical_accuracy: 0.9258 - val_loss: 0.4744 - val_categorical_accuracy: 0.8385 - 350ms/epoch - 7ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.2027 - categorical_accuracy: 0.9281 - val_loss: 0.3760 - val_categorical_accuracy: 0.8812 - 340ms/epoch - 7ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9212 - val_loss: 0.3658 - val_categorical_accuracy: 0.8797 - 340ms/epoch - 7ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.1987 - categorical_accuracy: 0.9297 - val_loss: 0.4221 - val_categorical_accuracy: 0.8549 - 350ms/epoch - 7ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2088 - categorical_accuracy: 0.9248 - val_loss: 0.5119 - val_categorical_accuracy: 0.8465 - 340ms/epoch - 7ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.2295 - categorical_accuracy: 0.9202 - val_loss: 0.3300 - val_categorical_accuracy: 0.8928 - 340ms/epoch - 7ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.2158 - categorical_accuracy: 0.9240 - val_loss: 0.3378 - val_categorical_accuracy: 0.8898 - 340ms/epoch - 7ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1931 - categorical_accuracy: 0.9308 - val_loss: 0.4774 - val_categorical_accuracy: 0.8415 - 340ms/epoch - 7ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2525 - categorical_accuracy: 0.9137 - val_loss: 0.3512 - val_categorical_accuracy: 0.8806 - 350ms/epoch - 7ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1945 - categorical_accuracy: 0.9306 - val_loss: 0.3297 - val_categorical_accuracy: 0.8908 - 330ms/epoch - 7ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.2082 - categorical_accuracy: 0.9279 - val_loss: 0.6093 - val_categorical_accuracy: 0.7964 - 360ms/epoch - 7ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2154 - categorical_accuracy: 0.9247 - val_loss: 0.3806 - val_categorical_accuracy: 0.8732 - 380ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1882 - categorical_accuracy: 0.9332 - val_loss: 0.3493 - val_categorical_accuracy: 0.8871 - 400ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2313 - categorical_accuracy: 0.9178 - val_loss: 0.4536 - val_categorical_accuracy: 0.8577 - 400ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9371 - val_loss: 0.4019 - val_categorical_accuracy: 0.8743 - 410ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.2708 - categorical_accuracy: 0.9055 - val_loss: 0.3449 - val_categorical_accuracy: 0.8842 - 430ms/epoch - 9ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1756 - categorical_accuracy: 0.9394 - val_loss: 0.3848 - val_categorical_accuracy: 0.8763 - 420ms/epoch - 9ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.1995 - categorical_accuracy: 0.9280 - val_loss: 0.4069 - val_categorical_accuracy: 0.8716 - 420ms/epoch - 9ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.1996 - categorical_accuracy: 0.9280 - val_loss: 0.4257 - val_categorical_accuracy: 0.8667 - 410ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9277 - val_loss: 0.3566 - val_categorical_accuracy: 0.8884 - 420ms/epoch - 9ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9255 - val_loss: 1.3311 - val_categorical_accuracy: 0.6725 - 424ms/epoch - 9ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.8532 - categorical_accuracy: 0.7744 - val_loss: 0.3735 - val_categorical_accuracy: 0.8692 - 410ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 1s - loss: 0.2131 - categorical_accuracy: 0.9269 - val_loss: 0.3391 - val_categorical_accuracy: 0.8893 - 640ms/epoch - 13ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1823 - categorical_accuracy: 0.9365 - val_loss: 0.3314 - val_categorical_accuracy: 0.8920 - 460ms/epoch - 9ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.1919 - categorical_accuracy: 0.9317 - val_loss: 0.4121 - val_categorical_accuracy: 0.8705 - 444ms/epoch - 9ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1981 - categorical_accuracy: 0.9294 - val_loss: 0.3347 - val_categorical_accuracy: 0.8908 - 400ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.2169 - categorical_accuracy: 0.9222 - val_loss: 0.3505 - val_categorical_accuracy: 0.8854 - 410ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1946 - categorical_accuracy: 0.9309 - val_loss: 0.3447 - val_categorical_accuracy: 0.8893 - 410ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1793 - categorical_accuracy: 0.9363 - val_loss: 0.3415 - val_categorical_accuracy: 0.8898 - 410ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.2147 - categorical_accuracy: 0.9228 - val_loss: 0.3216 - val_categorical_accuracy: 0.8935 - 420ms/epoch - 9ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1759 - categorical_accuracy: 0.9381 - val_loss: 0.3932 - val_categorical_accuracy: 0.8650 - 410ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1969 - categorical_accuracy: 0.9292 - val_loss: 0.3782 - val_categorical_accuracy: 0.8783 - 410ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1842 - categorical_accuracy: 0.9345 - val_loss: 0.3822 - val_categorical_accuracy: 0.8843 - 440ms/epoch - 9ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.2079 - categorical_accuracy: 0.9251 - val_loss: 0.4145 - val_categorical_accuracy: 0.8664 - 440ms/epoch - 9ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1792 - categorical_accuracy: 0.9365 - val_loss: 0.4256 - val_categorical_accuracy: 0.8699 - 400ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9279 - val_loss: 0.3419 - val_categorical_accuracy: 0.8879 - 410ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9395 - val_loss: 0.4076 - val_categorical_accuracy: 0.8777 - 410ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.2572 - categorical_accuracy: 0.9141 - val_loss: 0.3342 - val_categorical_accuracy: 0.8921 - 420ms/epoch - 9ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9296 - val_loss: 0.3747 - val_categorical_accuracy: 0.8798 - 414ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1680 - categorical_accuracy: 0.9410 - val_loss: 0.3316 - val_categorical_accuracy: 0.8916 - 410ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.2050 - categorical_accuracy: 0.9264 - val_loss: 0.3436 - val_categorical_accuracy: 0.8891 - 400ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.1833 - categorical_accuracy: 0.9350 - val_loss: 0.4261 - val_categorical_accuracy: 0.8685 - 410ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9368 - val_loss: 0.4497 - val_categorical_accuracy: 0.8503 - 410ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.2177 - categorical_accuracy: 0.9213 - val_loss: 0.3243 - val_categorical_accuracy: 0.8988 - 404ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1970 - categorical_accuracy: 0.9318 - val_loss: 0.3340 - val_categorical_accuracy: 0.8893 - 410ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1708 - categorical_accuracy: 0.9400 - val_loss: 0.3692 - val_categorical_accuracy: 0.8820 - 410ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1903 - categorical_accuracy: 0.9316 - val_loss: 0.3520 - val_categorical_accuracy: 0.8857 - 410ms/epoch - 8ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1688 - categorical_accuracy: 0.9412 - val_loss: 0.3296 - val_categorical_accuracy: 0.8954 - 440ms/epoch - 9ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.2011 - categorical_accuracy: 0.9309 - val_loss: 0.3320 - val_categorical_accuracy: 0.8931 - 440ms/epoch - 9ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1867 - categorical_accuracy: 0.9332 - val_loss: 0.4456 - val_categorical_accuracy: 0.8515 - 410ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1944 - categorical_accuracy: 0.9299 - val_loss: 0.3444 - val_categorical_accuracy: 0.8917 - 400ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9347 - val_loss: 0.3346 - val_categorical_accuracy: 0.8883 - 400ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.2194 - categorical_accuracy: 0.9219 - val_loss: 0.4758 - val_categorical_accuracy: 0.8539 - 410ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1698 - categorical_accuracy: 0.9410 - val_loss: 0.4510 - val_categorical_accuracy: 0.8483 - 404ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1780 - categorical_accuracy: 0.9365 - val_loss: 0.3344 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9327 - val_loss: 0.3723 - val_categorical_accuracy: 0.8774 - 400ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9427 - val_loss: 0.3470 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.2008 - categorical_accuracy: 0.9301 - val_loss: 0.3759 - val_categorical_accuracy: 0.8811 - 400ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9378 - val_loss: 0.4363 - val_categorical_accuracy: 0.8569 - 404ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1942 - categorical_accuracy: 0.9305 - val_loss: 0.4028 - val_categorical_accuracy: 0.8743 - 400ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.7399 - categorical_accuracy: 0.8147 - val_loss: 0.4090 - val_categorical_accuracy: 0.8573 - 410ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.2260 - categorical_accuracy: 0.9214 - val_loss: 0.3593 - val_categorical_accuracy: 0.8800 - 400ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1744 - categorical_accuracy: 0.9400 - val_loss: 0.3552 - val_categorical_accuracy: 0.8827 - 410ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1867 - categorical_accuracy: 0.9339 - val_loss: 0.3408 - val_categorical_accuracy: 0.8928 - 404ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9467 - val_loss: 0.3372 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1764 - categorical_accuracy: 0.9377 - val_loss: 0.4000 - val_categorical_accuracy: 0.8686 - 410ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9391 - val_loss: 0.3752 - val_categorical_accuracy: 0.8827 - 400ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9332 - val_loss: 0.4051 - val_categorical_accuracy: 0.8621 - 400ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1684 - categorical_accuracy: 0.9396 - val_loss: 0.4184 - val_categorical_accuracy: 0.8722 - 404ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1752 - categorical_accuracy: 0.9387 - val_loss: 0.3300 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.2440 - categorical_accuracy: 0.9198 - val_loss: 0.3382 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1507 - categorical_accuracy: 0.9485 - val_loss: 0.3549 - val_categorical_accuracy: 0.8844 - 400ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1798 - categorical_accuracy: 0.9373 - val_loss: 0.3363 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1765 - categorical_accuracy: 0.9373 - val_loss: 0.3321 - val_categorical_accuracy: 0.8998 - 404ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9405 - val_loss: 0.3474 - val_categorical_accuracy: 0.8925 - 400ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.2694 - categorical_accuracy: 0.9142 - val_loss: 0.3448 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1560 - categorical_accuracy: 0.9460 - val_loss: 0.3778 - val_categorical_accuracy: 0.8829 - 410ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9435 - val_loss: 0.3542 - val_categorical_accuracy: 0.8896 - 420ms/epoch - 9ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9337 - val_loss: 0.3379 - val_categorical_accuracy: 0.8954 - 394ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1520 - categorical_accuracy: 0.9465 - val_loss: 0.4197 - val_categorical_accuracy: 0.8641 - 400ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9370 - val_loss: 0.3497 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1971 - categorical_accuracy: 0.9310 - val_loss: 0.3574 - val_categorical_accuracy: 0.8878 - 410ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.2316 - categorical_accuracy: 0.9266 - val_loss: 0.4535 - val_categorical_accuracy: 0.8658 - 400ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1747 - categorical_accuracy: 0.9379 - val_loss: 0.4666 - val_categorical_accuracy: 0.8643 - 404ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9476 - val_loss: 0.3760 - val_categorical_accuracy: 0.8857 - 410ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1921 - categorical_accuracy: 0.9304 - val_loss: 0.3800 - val_categorical_accuracy: 0.8810 - 390ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1534 - categorical_accuracy: 0.9463 - val_loss: 0.9359 - val_categorical_accuracy: 0.7180 - 390ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.2199 - categorical_accuracy: 0.9277 - val_loss: 0.3584 - val_categorical_accuracy: 0.8858 - 390ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1747 - categorical_accuracy: 0.9374 - val_loss: 0.4454 - val_categorical_accuracy: 0.8624 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1627 - categorical_accuracy: 0.9432 - val_loss: 0.3623 - val_categorical_accuracy: 0.8864 - 388ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1998 - categorical_accuracy: 0.9299 - val_loss: 0.3870 - val_categorical_accuracy: 0.8790 - 390ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1470 - categorical_accuracy: 0.9490 - val_loss: 0.3369 - val_categorical_accuracy: 0.8946 - 400ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1776 - categorical_accuracy: 0.9379 - val_loss: 0.3306 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1652 - categorical_accuracy: 0.9410 - val_loss: 0.3548 - val_categorical_accuracy: 0.8919 - 384ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1400 - categorical_accuracy: 0.9512 - val_loss: 0.3341 - val_categorical_accuracy: 0.8976 - 380ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1960 - categorical_accuracy: 0.9310 - val_loss: 0.3625 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1504 - categorical_accuracy: 0.9476 - val_loss: 0.3934 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9285 - val_loss: 0.3938 - val_categorical_accuracy: 0.8769 - 390ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1449 - categorical_accuracy: 0.9495 - val_loss: 0.3390 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1967 - categorical_accuracy: 0.9302 - val_loss: 0.3937 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1433 - categorical_accuracy: 0.9500 - val_loss: 0.3534 - val_categorical_accuracy: 0.8917 - 400ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9454 - val_loss: 0.5001 - val_categorical_accuracy: 0.8618 - 390ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.2258 - categorical_accuracy: 0.9236 - val_loss: 0.3257 - val_categorical_accuracy: 0.8972 - 430ms/epoch - 9ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1457 - categorical_accuracy: 0.9493 - val_loss: 0.3598 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9432 - val_loss: 0.3285 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1780 - categorical_accuracy: 0.9396 - val_loss: 0.3448 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9477 - val_loss: 0.8881 - val_categorical_accuracy: 0.7395 - 390ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.2593 - categorical_accuracy: 0.9196 - val_loss: 0.3486 - val_categorical_accuracy: 0.8868 - 430ms/epoch - 9ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9420 - val_loss: 0.3857 - val_categorical_accuracy: 0.8790 - 454ms/epoch - 9ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1403 - categorical_accuracy: 0.9516 - val_loss: 0.3757 - val_categorical_accuracy: 0.8888 - 430ms/epoch - 9ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1559 - categorical_accuracy: 0.9469 - val_loss: 0.3984 - val_categorical_accuracy: 0.8699 - 390ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1585 - categorical_accuracy: 0.9429 - val_loss: 0.3283 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.4154 - categorical_accuracy: 0.8827 - val_loss: 0.3326 - val_categorical_accuracy: 0.8940 - 380ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9501 - val_loss: 0.3402 - val_categorical_accuracy: 0.8958 - 384ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1459 - categorical_accuracy: 0.9488 - val_loss: 0.3778 - val_categorical_accuracy: 0.8804 - 380ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1553 - categorical_accuracy: 0.9456 - val_loss: 0.3283 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1541 - categorical_accuracy: 0.9454 - val_loss: 0.4479 - val_categorical_accuracy: 0.8729 - 400ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1589 - categorical_accuracy: 0.9444 - val_loss: 0.3331 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1785 - categorical_accuracy: 0.9391 - val_loss: 0.3304 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9400 - val_loss: 0.3374 - val_categorical_accuracy: 0.8977 - 389ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1337 - categorical_accuracy: 0.9540 - val_loss: 0.3450 - val_categorical_accuracy: 0.8972 - 430ms/epoch - 9ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1516 - categorical_accuracy: 0.9463 - val_loss: 0.3326 - val_categorical_accuracy: 0.8983 - 438ms/epoch - 9ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9459 - val_loss: 0.3914 - val_categorical_accuracy: 0.8861 - 390ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1688 - categorical_accuracy: 0.9401 - val_loss: 0.3788 - val_categorical_accuracy: 0.8865 - 400ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.2662 - categorical_accuracy: 0.9184 - val_loss: 0.3389 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1354 - categorical_accuracy: 0.9539 - val_loss: 0.3553 - val_categorical_accuracy: 0.8925 - 399ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9433 - val_loss: 0.3285 - val_categorical_accuracy: 0.9032 - 384ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9424 - val_loss: 0.3163 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1311 - categorical_accuracy: 0.9545 - val_loss: 0.3963 - val_categorical_accuracy: 0.8832 - 395ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1809 - categorical_accuracy: 0.9379 - val_loss: 0.3238 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1468 - categorical_accuracy: 0.9497 - val_loss: 0.7629 - val_categorical_accuracy: 0.8141 - 430ms/epoch - 9ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.2598 - categorical_accuracy: 0.9206 - val_loss: 0.3485 - val_categorical_accuracy: 0.8945 - 400ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1330 - categorical_accuracy: 0.9539 - val_loss: 0.3451 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.2609 - categorical_accuracy: 0.9203 - val_loss: 0.3824 - val_categorical_accuracy: 0.8794 - 390ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1401 - categorical_accuracy: 0.9530 - val_loss: 0.3397 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9539 - val_loss: 0.3695 - val_categorical_accuracy: 0.8867 - 410ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9512 - val_loss: 0.4537 - val_categorical_accuracy: 0.8553 - 390ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1781 - categorical_accuracy: 0.9414 - val_loss: 0.3473 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1693 - categorical_accuracy: 0.9398 - val_loss: 0.3420 - val_categorical_accuracy: 0.8987 - 394ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1408 - categorical_accuracy: 0.9504 - val_loss: 0.5217 - val_categorical_accuracy: 0.8386 - 400ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1430 - categorical_accuracy: 0.9500 - val_loss: 0.3805 - val_categorical_accuracy: 0.8909 - 430ms/epoch - 9ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1318 - categorical_accuracy: 0.9552 - val_loss: 0.4243 - val_categorical_accuracy: 0.8726 - 430ms/epoch - 9ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9394 - val_loss: 0.3540 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1431 - categorical_accuracy: 0.9495 - val_loss: 0.4033 - val_categorical_accuracy: 0.8789 - 390ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9411 - val_loss: 0.4156 - val_categorical_accuracy: 0.8816 - 390ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1783 - categorical_accuracy: 0.9419 - val_loss: 0.3696 - val_categorical_accuracy: 0.8870 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1354 - categorical_accuracy: 0.9524 - val_loss: 0.3986 - val_categorical_accuracy: 0.8811 - 390ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.3122 - categorical_accuracy: 0.9093 - val_loss: 0.3409 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1248 - categorical_accuracy: 0.9576 - val_loss: 0.3446 - val_categorical_accuracy: 0.8993 - 430ms/epoch - 9ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9462 - val_loss: 0.3512 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1355 - categorical_accuracy: 0.9528 - val_loss: 0.3838 - val_categorical_accuracy: 0.8806 - 390ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1260 - categorical_accuracy: 0.9565 - val_loss: 0.3441 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1619 - categorical_accuracy: 0.9444 - val_loss: 0.3609 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1761 - categorical_accuracy: 0.9400 - val_loss: 0.3333 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1229 - categorical_accuracy: 0.9579 - val_loss: 0.3796 - val_categorical_accuracy: 0.8892 - 430ms/epoch - 9ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1544 - categorical_accuracy: 0.9462 - val_loss: 0.3878 - val_categorical_accuracy: 0.8863 - 400ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1293 - categorical_accuracy: 0.9554 - val_loss: 0.3691 - val_categorical_accuracy: 0.8967 - 400ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.2274 - categorical_accuracy: 0.9271 - val_loss: 0.3646 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1260 - categorical_accuracy: 0.9562 - val_loss: 0.3417 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1305 - categorical_accuracy: 0.9544 - val_loss: 0.3811 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1210 - categorical_accuracy: 0.9583 - val_loss: 0.3628 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.2133 - categorical_accuracy: 0.9315 - val_loss: 0.3298 - val_categorical_accuracy: 0.9010 - 420ms/epoch - 9ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1191 - categorical_accuracy: 0.9596 - val_loss: 0.3366 - val_categorical_accuracy: 0.9000 - 440ms/epoch - 9ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1232 - categorical_accuracy: 0.9571 - val_loss: 0.3657 - val_categorical_accuracy: 0.8943 - 394ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1698 - categorical_accuracy: 0.9418 - val_loss: 0.4271 - val_categorical_accuracy: 0.8722 - 390ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1373 - categorical_accuracy: 0.9525 - val_loss: 0.3693 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1296 - categorical_accuracy: 0.9544 - val_loss: 0.4066 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9382 - val_loss: 0.4021 - val_categorical_accuracy: 0.8844 - 390ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1278 - categorical_accuracy: 0.9556 - val_loss: 0.3529 - val_categorical_accuracy: 0.8950 - 394ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1564 - categorical_accuracy: 0.9462 - val_loss: 0.3318 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1277 - categorical_accuracy: 0.9562 - val_loss: 0.3397 - val_categorical_accuracy: 0.9026 - 430ms/epoch - 9ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1914 - categorical_accuracy: 0.9346 - val_loss: 0.3277 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1255 - categorical_accuracy: 0.9572 - val_loss: 0.4819 - val_categorical_accuracy: 0.8702 - 390ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9359 - val_loss: 0.4266 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1412 - categorical_accuracy: 0.9530 - val_loss: 0.3791 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1691 - categorical_accuracy: 0.9424 - val_loss: 0.3375 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1169 - categorical_accuracy: 0.9597 - val_loss: 0.3508 - val_categorical_accuracy: 0.8994 - 430ms/epoch - 9ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9470 - val_loss: 0.3618 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1160 - categorical_accuracy: 0.9596 - val_loss: 0.3671 - val_categorical_accuracy: 0.8929 - 395ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1215 - categorical_accuracy: 0.9579 - val_loss: 0.3421 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.3933 - categorical_accuracy: 0.8948 - val_loss: 0.3501 - val_categorical_accuracy: 0.8879 - 390ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9540 - val_loss: 0.3335 - val_categorical_accuracy: 0.9001 - 410ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1185 - categorical_accuracy: 0.9594 - val_loss: 0.3663 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1229 - categorical_accuracy: 0.9570 - val_loss: 0.4719 - val_categorical_accuracy: 0.8617 - 390ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1442 - categorical_accuracy: 0.9526 - val_loss: 0.3840 - val_categorical_accuracy: 0.8875 - 390ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1568 - categorical_accuracy: 0.9467 - val_loss: 0.3347 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1119 - categorical_accuracy: 0.9618 - val_loss: 0.4361 - val_categorical_accuracy: 0.8834 - 410ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1902 - categorical_accuracy: 0.9386 - val_loss: 0.3408 - val_categorical_accuracy: 0.8990 - 440ms/epoch - 9ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1160 - categorical_accuracy: 0.9600 - val_loss: 0.3608 - val_categorical_accuracy: 0.8995 - 430ms/epoch - 9ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1212 - categorical_accuracy: 0.9572 - val_loss: 0.3740 - val_categorical_accuracy: 0.8921 - 400ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1570 - categorical_accuracy: 0.9462 - val_loss: 0.3610 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1180 - categorical_accuracy: 0.9589 - val_loss: 0.3548 - val_categorical_accuracy: 0.8965 - 380ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9290 - val_loss: 0.4032 - val_categorical_accuracy: 0.8814 - 390ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9488 - val_loss: 0.3454 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1150 - categorical_accuracy: 0.9607 - val_loss: 0.3430 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1143 - categorical_accuracy: 0.9606 - val_loss: 0.3901 - val_categorical_accuracy: 0.8910 - 420ms/epoch - 9ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9458 - val_loss: 0.3456 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1132 - categorical_accuracy: 0.9607 - val_loss: 0.3461 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1769 - categorical_accuracy: 0.9397 - val_loss: 0.3496 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1149 - categorical_accuracy: 0.9606 - val_loss: 0.3558 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1179 - categorical_accuracy: 0.9590 - val_loss: 0.3617 - val_categorical_accuracy: 0.8975 - 410ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1223 - categorical_accuracy: 0.9576 - val_loss: 0.3908 - val_categorical_accuracy: 0.8928 - 434ms/epoch - 9ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.2592 - categorical_accuracy: 0.9248 - val_loss: 0.3363 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1176 - categorical_accuracy: 0.9595 - val_loss: 0.3564 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1497 - categorical_accuracy: 0.9493 - val_loss: 0.3388 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1078 - categorical_accuracy: 0.9640 - val_loss: 0.3480 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1484 - categorical_accuracy: 0.9491 - val_loss: 0.3438 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1142 - categorical_accuracy: 0.9609 - val_loss: 0.3922 - val_categorical_accuracy: 0.8906 - 400ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1138 - categorical_accuracy: 0.9603 - val_loss: 0.3587 - val_categorical_accuracy: 0.9022 - 424ms/epoch - 9ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.2691 - categorical_accuracy: 0.9227 - val_loss: 0.4181 - val_categorical_accuracy: 0.8713 - 390ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1273 - categorical_accuracy: 0.9565 - val_loss: 0.3761 - val_categorical_accuracy: 0.8950 - 400ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1269 - categorical_accuracy: 0.9560 - val_loss: 0.3493 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1312 - categorical_accuracy: 0.9543 - val_loss: 0.3812 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1146 - categorical_accuracy: 0.9599 - val_loss: 0.3612 - val_categorical_accuracy: 0.9001 - 410ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1106 - categorical_accuracy: 0.9617 - val_loss: 0.3782 - val_categorical_accuracy: 0.8937 - 400ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.2059 - categorical_accuracy: 0.9345 - val_loss: 0.3447 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1125 - categorical_accuracy: 0.9618 - val_loss: 0.3621 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1440 - categorical_accuracy: 0.9504 - val_loss: 0.3679 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1360 - categorical_accuracy: 0.9529 - val_loss: 1.1816 - val_categorical_accuracy: 0.7036 - 430ms/epoch - 9ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1809 - categorical_accuracy: 0.9423 - val_loss: 0.3268 - val_categorical_accuracy: 0.9088 - 440ms/epoch - 9ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1069 - categorical_accuracy: 0.9634 - val_loss: 0.3527 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1068 - categorical_accuracy: 0.9638 - val_loss: 0.3574 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.1219 - categorical_accuracy: 0.9573 - val_loss: 0.4576 - val_categorical_accuracy: 0.8757 - 390ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9499 - val_loss: 0.3736 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1143 - categorical_accuracy: 0.9602 - val_loss: 0.3810 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1771 - categorical_accuracy: 0.9404 - val_loss: 0.3871 - val_categorical_accuracy: 0.8890 - 390ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1122 - categorical_accuracy: 0.9614 - val_loss: 0.3583 - val_categorical_accuracy: 0.9000 - 420ms/epoch - 9ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1621 - categorical_accuracy: 0.9475 - val_loss: 0.3670 - val_categorical_accuracy: 0.8948 - 410ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9619 - val_loss: 0.3448 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1066 - categorical_accuracy: 0.9627 - val_loss: 0.4095 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1467 - categorical_accuracy: 0.9485 - val_loss: 0.5165 - val_categorical_accuracy: 0.8435 - 390ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1176 - categorical_accuracy: 0.9593 - val_loss: 0.3672 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9613 - val_loss: 0.3713 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1744 - categorical_accuracy: 0.9440 - val_loss: 0.8818 - val_categorical_accuracy: 0.7647 - 410ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9495 - val_loss: 0.3581 - val_categorical_accuracy: 0.9009 - 440ms/epoch - 9ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.1052 - categorical_accuracy: 0.9640 - val_loss: 0.3575 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9645 - val_loss: 0.4120 - val_categorical_accuracy: 0.8885 - 390ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.2756 - categorical_accuracy: 0.9218 - val_loss: 0.3449 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1072 - categorical_accuracy: 0.9637 - val_loss: 0.3748 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1083 - categorical_accuracy: 0.9625 - val_loss: 0.3475 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9349 - val_loss: 0.3787 - val_categorical_accuracy: 0.8946 - 420ms/epoch - 9ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1068 - categorical_accuracy: 0.9640 - val_loss: 0.3370 - val_categorical_accuracy: 0.9086 - 430ms/epoch - 9ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.2129 - categorical_accuracy: 0.9365 - val_loss: 0.3750 - val_categorical_accuracy: 0.8901 - 400ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1150 - categorical_accuracy: 0.9613 - val_loss: 0.3479 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 1s - loss: 0.1087 - categorical_accuracy: 0.9627 - val_loss: 0.3505 - val_categorical_accuracy: 0.9029 - 560ms/epoch - 11ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1031 - categorical_accuracy: 0.9646 - val_loss: 0.3696 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1530 - categorical_accuracy: 0.9505 - val_loss: 0.3884 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.2357 - categorical_accuracy: 0.9316 - val_loss: 0.3563 - val_categorical_accuracy: 0.8972 - 394ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.1097 - categorical_accuracy: 0.9630 - val_loss: 0.3504 - val_categorical_accuracy: 0.9004 - 386ms/epoch - 8ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1052 - categorical_accuracy: 0.9639 - val_loss: 0.3462 - val_categorical_accuracy: 0.9080 - 440ms/epoch - 9ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9642 - val_loss: 0.3844 - val_categorical_accuracy: 0.8922 - 440ms/epoch - 9ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.1234 - categorical_accuracy: 0.9569 - val_loss: 0.3586 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9486 - val_loss: 0.3825 - val_categorical_accuracy: 0.8957 - 394ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1674 - categorical_accuracy: 0.9440 - val_loss: 0.3537 - val_categorical_accuracy: 0.8958 - 386ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.1038 - categorical_accuracy: 0.9644 - val_loss: 0.3798 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9651 - val_loss: 0.3659 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.1697 - categorical_accuracy: 0.9445 - val_loss: 0.3489 - val_categorical_accuracy: 0.9042 - 410ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1128 - categorical_accuracy: 0.9617 - val_loss: 0.6989 - val_categorical_accuracy: 0.8268 - 444ms/epoch - 9ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1498 - categorical_accuracy: 0.9502 - val_loss: 0.3641 - val_categorical_accuracy: 0.9025 - 396ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.1046 - categorical_accuracy: 0.9639 - val_loss: 0.3815 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.1029 - categorical_accuracy: 0.9640 - val_loss: 0.3990 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1951 - categorical_accuracy: 0.9425 - val_loss: 0.3614 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.1026 - categorical_accuracy: 0.9649 - val_loss: 0.3582 - val_categorical_accuracy: 0.9081 - 394ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.1012 - categorical_accuracy: 0.9651 - val_loss: 0.4012 - val_categorical_accuracy: 0.8903 - 396ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.1139 - categorical_accuracy: 0.9597 - val_loss: 0.9288 - val_categorical_accuracy: 0.7635 - 420ms/epoch - 9ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.3119 - categorical_accuracy: 0.9170 - val_loss: 0.3362 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9659 - val_loss: 0.3429 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9655 - val_loss: 0.3665 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.1024 - categorical_accuracy: 0.9644 - val_loss: 0.4239 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.1066 - categorical_accuracy: 0.9630 - val_loss: 0.4100 - val_categorical_accuracy: 0.8890 - 410ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.1465 - categorical_accuracy: 0.9503 - val_loss: 0.3544 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9654 - val_loss: 0.3793 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.1043 - categorical_accuracy: 0.9633 - val_loss: 0.4120 - val_categorical_accuracy: 0.8954 - 394ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9442 - val_loss: 0.3748 - val_categorical_accuracy: 0.8976 - 396ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9655 - val_loss: 0.3988 - val_categorical_accuracy: 0.8960 - 420ms/epoch - 9ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.1023 - categorical_accuracy: 0.9646 - val_loss: 0.3886 - val_categorical_accuracy: 0.8970 - 430ms/epoch - 9ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.1081 - categorical_accuracy: 0.9625 - val_loss: 0.3757 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.1100 - categorical_accuracy: 0.9615 - val_loss: 0.7216 - val_categorical_accuracy: 0.8122 - 400ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.2143 - categorical_accuracy: 0.9361 - val_loss: 0.3675 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.0995 - categorical_accuracy: 0.9661 - val_loss: 0.3834 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9658 - val_loss: 0.3890 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.1452 - categorical_accuracy: 0.9523 - val_loss: 0.3797 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.0974 - categorical_accuracy: 0.9671 - val_loss: 0.4133 - val_categorical_accuracy: 0.8953 - 430ms/epoch - 9ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.1889 - categorical_accuracy: 0.9385 - val_loss: 0.4073 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.1015 - categorical_accuracy: 0.9656 - val_loss: 0.3780 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.1340 - categorical_accuracy: 0.9556 - val_loss: 0.3701 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1008 - categorical_accuracy: 0.9650 - val_loss: 0.4057 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9644 - val_loss: 0.3659 - val_categorical_accuracy: 0.9067 - 384ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9651 - val_loss: 0.3703 - val_categorical_accuracy: 0.9078 - 386ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1828 - categorical_accuracy: 0.9422 - val_loss: 0.7267 - val_categorical_accuracy: 0.8259 - 420ms/epoch - 9ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.1427 - categorical_accuracy: 0.9529 - val_loss: 0.3756 - val_categorical_accuracy: 0.8993 - 450ms/epoch - 9ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.1189 - categorical_accuracy: 0.9583 - val_loss: 0.3658 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9668 - val_loss: 0.4525 - val_categorical_accuracy: 0.8826 - 384ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.1596 - categorical_accuracy: 0.9475 - val_loss: 0.3572 - val_categorical_accuracy: 0.9046 - 386ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9659 - val_loss: 0.3568 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9670 - val_loss: 0.3972 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.1072 - categorical_accuracy: 0.9628 - val_loss: 0.4546 - val_categorical_accuracy: 0.8777 - 390ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9426 - val_loss: 0.3748 - val_categorical_accuracy: 0.8991 - 420ms/epoch - 9ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9667 - val_loss: 0.4135 - val_categorical_accuracy: 0.8919 - 450ms/epoch - 9ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9657 - val_loss: 0.3808 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0935 - categorical_accuracy: 0.9681 - val_loss: 0.3737 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.1121 - categorical_accuracy: 0.9598 - val_loss: 0.4154 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.5827 - categorical_accuracy: 0.8503 - val_loss: 0.3634 - val_categorical_accuracy: 0.8874 - 390ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.1338 - categorical_accuracy: 0.9536 - val_loss: 0.3334 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9643 - val_loss: 0.3636 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1022 - categorical_accuracy: 0.9653 - val_loss: 0.3668 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9656 - val_loss: 0.3838 - val_categorical_accuracy: 0.8968 - 430ms/epoch - 9ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.1012 - categorical_accuracy: 0.9648 - val_loss: 0.3634 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9630 - val_loss: 0.4133 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.1027 - categorical_accuracy: 0.9638 - val_loss: 0.3879 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9647 - val_loss: 0.3958 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.3686 - categorical_accuracy: 0.9004 - val_loss: 0.3534 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.1141 - categorical_accuracy: 0.9616 - val_loss: 0.3554 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.1016 - categorical_accuracy: 0.9651 - val_loss: 0.3924 - val_categorical_accuracy: 0.8990 - 450ms/epoch - 9ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9672 - val_loss: 0.4618 - val_categorical_accuracy: 0.8784 - 400ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.1000 - categorical_accuracy: 0.9653 - val_loss: 0.3709 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.1133 - categorical_accuracy: 0.9599 - val_loss: 0.3827 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9664 - val_loss: 0.3775 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0938 - categorical_accuracy: 0.9674 - val_loss: 0.4223 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9461 - val_loss: 0.4073 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9669 - val_loss: 0.4457 - val_categorical_accuracy: 0.8874 - 410ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.1363 - categorical_accuracy: 0.9520 - val_loss: 0.3597 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9685 - val_loss: 0.3668 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0921 - categorical_accuracy: 0.9677 - val_loss: 0.3635 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9684 - val_loss: 0.4049 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.1891 - categorical_accuracy: 0.9371 - val_loss: 0.3628 - val_categorical_accuracy: 0.9017 - 410ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0941 - categorical_accuracy: 0.9680 - val_loss: 0.3829 - val_categorical_accuracy: 0.9000 - 430ms/epoch - 9ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0937 - categorical_accuracy: 0.9678 - val_loss: 0.3778 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9669 - val_loss: 0.3689 - val_categorical_accuracy: 0.9080 - 410ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.1186 - categorical_accuracy: 0.9607 - val_loss: 1.0087 - val_categorical_accuracy: 0.7742 - 390ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.1209 - categorical_accuracy: 0.9593 - val_loss: 0.4182 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9667 - val_loss: 0.4115 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0941 - categorical_accuracy: 0.9677 - val_loss: 0.3806 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0937 - categorical_accuracy: 0.9672 - val_loss: 0.3798 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.4070 - categorical_accuracy: 0.8958 - val_loss: 0.3560 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.1111 - categorical_accuracy: 0.9618 - val_loss: 0.3746 - val_categorical_accuracy: 0.8958 - 430ms/epoch - 9ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0947 - categorical_accuracy: 0.9676 - val_loss: 0.3674 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0942 - categorical_accuracy: 0.9672 - val_loss: 0.3656 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9669 - val_loss: 0.3762 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9683 - val_loss: 0.3812 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9651 - val_loss: 0.4759 - val_categorical_accuracy: 0.8796 - 390ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.1738 - categorical_accuracy: 0.9428 - val_loss: 0.3751 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.0912 - categorical_accuracy: 0.9683 - val_loss: 0.3965 - val_categorical_accuracy: 0.8996 - 420ms/epoch - 9ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9675 - val_loss: 0.4789 - val_categorical_accuracy: 0.8799 - 440ms/epoch - 9ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.1010 - categorical_accuracy: 0.9643 - val_loss: 0.4096 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.1716 - categorical_accuracy: 0.9483 - val_loss: 0.3931 - val_categorical_accuracy: 0.8871 - 390ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9660 - val_loss: 0.3679 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9686 - val_loss: 0.4513 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0961 - categorical_accuracy: 0.9667 - val_loss: 0.3917 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.1329 - categorical_accuracy: 0.9562 - val_loss: 0.5687 - val_categorical_accuracy: 0.8595 - 390ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.1423 - categorical_accuracy: 0.9533 - val_loss: 0.3760 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9695 - val_loss: 0.4524 - val_categorical_accuracy: 0.8808 - 390ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.1492 - categorical_accuracy: 0.9477 - val_loss: 0.3783 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9684 - val_loss: 0.3969 - val_categorical_accuracy: 0.8995 - 440ms/epoch - 9ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1233 - categorical_accuracy: 0.9576 - val_loss: 0.3802 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9684 - val_loss: 0.3892 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9672 - val_loss: 0.3907 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9681 - val_loss: 0.3912 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9665 - val_loss: 0.3938 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.1061 - categorical_accuracy: 0.9624 - val_loss: 0.9807 - val_categorical_accuracy: 0.8276 - 410ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.2254 - categorical_accuracy: 0.9349 - val_loss: 0.3613 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9693 - val_loss: 0.3951 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9694 - val_loss: 0.3840 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9692 - val_loss: 0.4046 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0947 - categorical_accuracy: 0.9661 - val_loss: 0.3983 - val_categorical_accuracy: 0.9017 - 420ms/epoch - 9ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9586 - val_loss: 2.7203 - val_categorical_accuracy: 0.5189 - 430ms/epoch - 9ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.4456 - categorical_accuracy: 0.8802 - val_loss: 0.3517 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.1054 - categorical_accuracy: 0.9643 - val_loss: 0.3616 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9682 - val_loss: 0.3561 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9690 - val_loss: 0.3653 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.1420 - categorical_accuracy: 0.9525 - val_loss: 0.3716 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9697 - val_loss: 0.3864 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9687 - val_loss: 0.4150 - val_categorical_accuracy: 0.8936 - 394ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9687 - val_loss: 0.4123 - val_categorical_accuracy: 0.8961 - 396ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9660 - val_loss: 0.3996 - val_categorical_accuracy: 0.9003 - 440ms/epoch - 9ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.1392 - categorical_accuracy: 0.9537 - val_loss: 0.3852 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1052 - categorical_accuracy: 0.9639 - val_loss: 0.6742 - val_categorical_accuracy: 0.8458 - 400ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.1353 - categorical_accuracy: 0.9563 - val_loss: 0.3662 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9710 - val_loss: 0.3929 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9669 - val_loss: 0.3793 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.1730 - categorical_accuracy: 0.9439 - val_loss: 0.3947 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9680 - val_loss: 0.4124 - val_categorical_accuracy: 0.8985 - 418ms/epoch - 9ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0927 - categorical_accuracy: 0.9678 - val_loss: 0.3758 - val_categorical_accuracy: 0.9083 - 394ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9691 - val_loss: 0.3985 - val_categorical_accuracy: 0.9041 - 386ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9701 - val_loss: 0.3951 - val_categorical_accuracy: 0.9028 - 410ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.2851 - categorical_accuracy: 0.9233 - val_loss: 0.3606 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9706 - val_loss: 0.3632 - val_categorical_accuracy: 0.9089 - 410ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0886 - categorical_accuracy: 0.9694 - val_loss: 0.4009 - val_categorical_accuracy: 0.8944 - 384ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9697 - val_loss: 0.3901 - val_categorical_accuracy: 0.9071 - 406ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9689 - val_loss: 0.4110 - val_categorical_accuracy: 0.8939 - 430ms/epoch - 9ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9680 - val_loss: 0.3856 - val_categorical_accuracy: 0.9052 - 430ms/epoch - 9ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9706 - val_loss: 0.4158 - val_categorical_accuracy: 0.8950 - 430ms/epoch - 9ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9655 - val_loss: 0.3960 - val_categorical_accuracy: 0.9061 - 460ms/epoch - 9ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0994 - categorical_accuracy: 0.9650 - val_loss: 1.9228 - val_categorical_accuracy: 0.7702 - 430ms/epoch - 9ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.2212 - categorical_accuracy: 0.9401 - val_loss: 0.4018 - val_categorical_accuracy: 0.8959 - 430ms/epoch - 9ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9687 - val_loss: 0.3865 - val_categorical_accuracy: 0.9031 - 430ms/epoch - 9ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0921 - categorical_accuracy: 0.9677 - val_loss: 0.3912 - val_categorical_accuracy: 0.9028 - 440ms/epoch - 9ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9700 - val_loss: 0.4073 - val_categorical_accuracy: 0.9016 - 460ms/epoch - 9ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0890 - categorical_accuracy: 0.9690 - val_loss: 0.3956 - val_categorical_accuracy: 0.9057 - 430ms/epoch - 9ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9705 - val_loss: 0.3992 - val_categorical_accuracy: 0.9055 - 440ms/epoch - 9ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9692 - val_loss: 0.4102 - val_categorical_accuracy: 0.9011 - 430ms/epoch - 9ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.1538 - categorical_accuracy: 0.9529 - val_loss: 0.4036 - val_categorical_accuracy: 0.8979 - 430ms/epoch - 9ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9701 - val_loss: 0.4081 - val_categorical_accuracy: 0.8999 - 440ms/epoch - 9ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.2127 - categorical_accuracy: 0.9400 - val_loss: 0.3794 - val_categorical_accuracy: 0.9018 - 440ms/epoch - 9ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9704 - val_loss: 0.3776 - val_categorical_accuracy: 0.9090 - 430ms/epoch - 9ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.1474 - categorical_accuracy: 0.9499 - val_loss: 0.3704 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9709 - val_loss: 0.3858 - val_categorical_accuracy: 0.9060 - 434ms/epoch - 9ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9699 - val_loss: 0.4333 - val_categorical_accuracy: 0.8970 - 470ms/epoch - 10ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9669 - val_loss: 0.4157 - val_categorical_accuracy: 0.9029 - 440ms/epoch - 9ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.2092 - categorical_accuracy: 0.9385 - val_loss: 0.3542 - val_categorical_accuracy: 0.9122 - 440ms/epoch - 9ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9716 - val_loss: 0.4301 - val_categorical_accuracy: 0.8909 - 430ms/epoch - 9ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0894 - categorical_accuracy: 0.9690 - val_loss: 0.3911 - val_categorical_accuracy: 0.9040 - 430ms/epoch - 9ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9705 - val_loss: 0.3887 - val_categorical_accuracy: 0.9073 - 470ms/epoch - 10ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9697 - val_loss: 0.3990 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9690 - val_loss: 0.4081 - val_categorical_accuracy: 0.9053 - 430ms/epoch - 9ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9694 - val_loss: 0.4791 - val_categorical_accuracy: 0.8811 - 430ms/epoch - 9ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.2171 - categorical_accuracy: 0.9373 - val_loss: 0.3735 - val_categorical_accuracy: 0.9066 - 435ms/epoch - 9ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9702 - val_loss: 0.3772 - val_categorical_accuracy: 0.9103 - 450ms/epoch - 9ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9700 - val_loss: 0.4764 - val_categorical_accuracy: 0.8835 - 429ms/epoch - 9ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.1770 - categorical_accuracy: 0.9399 - val_loss: 0.3789 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9708 - val_loss: 0.3962 - val_categorical_accuracy: 0.9038 - 424ms/epoch - 9ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9693 - val_loss: 0.3915 - val_categorical_accuracy: 0.9053 - 453ms/epoch - 9ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9712 - val_loss: 0.3830 - val_categorical_accuracy: 0.9080 - 465ms/epoch - 9ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9713 - val_loss: 0.3925 - val_categorical_accuracy: 0.9086 - 430ms/epoch - 9ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9690 - val_loss: 0.4114 - val_categorical_accuracy: 0.9038 - 428ms/epoch - 9ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.2026 - categorical_accuracy: 0.9419 - val_loss: 0.3571 - val_categorical_accuracy: 0.9059 - 426ms/epoch - 9ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9706 - val_loss: 0.3747 - val_categorical_accuracy: 0.9044 - 419ms/epoch - 9ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9678 - val_loss: 0.3960 - val_categorical_accuracy: 0.9020 - 430ms/epoch - 9ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9702 - val_loss: 0.3851 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9711 - val_loss: 0.4222 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9705 - val_loss: 0.4228 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9701 - val_loss: 0.4355 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.1976 - categorical_accuracy: 0.9438 - val_loss: 0.6379 - val_categorical_accuracy: 0.8298 - 390ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.1065 - categorical_accuracy: 0.9637 - val_loss: 0.3758 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9716 - val_loss: 0.3853 - val_categorical_accuracy: 0.9085 - 385ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0826 - categorical_accuracy: 0.9708 - val_loss: 0.4069 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.1138 - categorical_accuracy: 0.9599 - val_loss: 0.4242 - val_categorical_accuracy: 0.8952 - 407ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9662 - val_loss: 0.3992 - val_categorical_accuracy: 0.9034 - 420ms/epoch - 9ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9716 - val_loss: 0.3927 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9720 - val_loss: 0.3993 - val_categorical_accuracy: 0.9053 - 394ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.2705 - categorical_accuracy: 0.9283 - val_loss: 0.3821 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9689 - val_loss: 0.3813 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9714 - val_loss: 0.4008 - val_categorical_accuracy: 0.9068 - 410ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9710 - val_loss: 0.3888 - val_categorical_accuracy: 0.9091 - 430ms/epoch - 9ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9712 - val_loss: 0.3939 - val_categorical_accuracy: 0.9082 - 404ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.2525 - categorical_accuracy: 0.9311 - val_loss: 0.3797 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9697 - val_loss: 0.3794 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9708 - val_loss: 0.4001 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9718 - val_loss: 0.3783 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9707 - val_loss: 0.4086 - val_categorical_accuracy: 0.9031 - 394ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9707 - val_loss: 0.4168 - val_categorical_accuracy: 0.9042 - 410ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9684 - val_loss: 0.4291 - val_categorical_accuracy: 0.8999 - 430ms/epoch - 9ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.1652 - categorical_accuracy: 0.9470 - val_loss: 0.3906 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0829 - categorical_accuracy: 0.9709 - val_loss: 0.4088 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9711 - val_loss: 0.4960 - val_categorical_accuracy: 0.8837 - 390ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9548 - val_loss: 0.3944 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9726 - val_loss: 0.4205 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9691 - val_loss: 0.4227 - val_categorical_accuracy: 0.8984 - 410ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9717 - val_loss: 0.3995 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9711 - val_loss: 0.3992 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9684 - val_loss: 0.4435 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9681 - val_loss: 0.4004 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.1209 - categorical_accuracy: 0.9634 - val_loss: 1.2607 - val_categorical_accuracy: 0.7834 - 410ms/epoch - 8ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9583 - val_loss: 0.3825 - val_categorical_accuracy: 0.9073 - 440ms/epoch - 9ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9725 - val_loss: 0.4170 - val_categorical_accuracy: 0.8997 - 430ms/epoch - 9ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9715 - val_loss: 0.4022 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9720 - val_loss: 0.4113 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9703 - val_loss: 0.4376 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.1405 - categorical_accuracy: 0.9546 - val_loss: 0.3866 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9718 - val_loss: 0.4709 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.1852 - categorical_accuracy: 0.9461 - val_loss: 0.3747 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9729 - val_loss: 0.4430 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9685 - val_loss: 0.4148 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9728 - val_loss: 0.4938 - val_categorical_accuracy: 0.8889 - 390ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9683 - val_loss: 0.4213 - val_categorical_accuracy: 0.8987 - 430ms/epoch - 9ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9717 - val_loss: 0.3952 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9716 - val_loss: 0.4055 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9719 - val_loss: 0.4684 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.1883 - categorical_accuracy: 0.9431 - val_loss: 0.4210 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9685 - val_loss: 0.3891 - val_categorical_accuracy: 0.9098 - 410ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9690 - val_loss: 0.4306 - val_categorical_accuracy: 0.8950 - 430ms/epoch - 9ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9720 - val_loss: 0.3951 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9704 - val_loss: 0.4199 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9721 - val_loss: 0.4267 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.1741 - categorical_accuracy: 0.9496 - val_loss: 0.4000 - val_categorical_accuracy: 0.9012 - 410ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9721 - val_loss: 0.3927 - val_categorical_accuracy: 0.9087 - 420ms/epoch - 9ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.1383 - categorical_accuracy: 0.9563 - val_loss: 0.4051 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9723 - val_loss: 0.4045 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9717 - val_loss: 0.4138 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9719 - val_loss: 0.4433 - val_categorical_accuracy: 0.8982 - 384ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0858 - categorical_accuracy: 0.9692 - val_loss: 0.4419 - val_categorical_accuracy: 0.8950 - 410ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9711 - val_loss: 0.4078 - val_categorical_accuracy: 0.9073 - 440ms/epoch - 9ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9697 - val_loss: 0.4242 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9719 - val_loss: 0.4176 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9708 - val_loss: 0.4114 - val_categorical_accuracy: 0.9066 - 394ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 1s - loss: 0.2577 - categorical_accuracy: 0.9306 - val_loss: 0.3823 - val_categorical_accuracy: 0.8956 - 569ms/epoch - 12ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9701 - val_loss: 0.4006 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9732 - val_loss: 0.4212 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9729 - val_loss: 0.4075 - val_categorical_accuracy: 0.9061 - 440ms/epoch - 9ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9733 - val_loss: 0.4120 - val_categorical_accuracy: 0.9071 - 450ms/epoch - 9ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9734 - val_loss: 0.4362 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.1220 - categorical_accuracy: 0.9598 - val_loss: 0.4359 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9721 - val_loss: 0.3989 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9696 - val_loss: 0.4216 - val_categorical_accuracy: 0.9068 - 384ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.1604 - categorical_accuracy: 0.9508 - val_loss: 0.3931 - val_categorical_accuracy: 0.8997 - 386ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9724 - val_loss: 0.3948 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9732 - val_loss: 0.4099 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9721 - val_loss: 0.4353 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.1201 - categorical_accuracy: 0.9585 - val_loss: 0.4320 - val_categorical_accuracy: 0.9017 - 434ms/epoch - 9ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9715 - val_loss: 0.4593 - val_categorical_accuracy: 0.8935 - 386ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9722 - val_loss: 0.4161 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9738 - val_loss: 0.4388 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.2181 - categorical_accuracy: 0.9375 - val_loss: 0.4382 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9701 - val_loss: 0.4058 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9738 - val_loss: 0.4122 - val_categorical_accuracy: 0.9073 - 434ms/epoch - 9ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9724 - val_loss: 0.4098 - val_categorical_accuracy: 0.9069 - 440ms/epoch - 9ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9740 - val_loss: 0.4171 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9724 - val_loss: 0.4567 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.1877 - categorical_accuracy: 0.9476 - val_loss: 0.4000 - val_categorical_accuracy: 0.9039 - 384ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9733 - val_loss: 0.4210 - val_categorical_accuracy: 0.9037 - 386ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9732 - val_loss: 0.3981 - val_categorical_accuracy: 0.9105 - 380ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9731 - val_loss: 0.4137 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9728 - val_loss: 0.4288 - val_categorical_accuracy: 0.9028 - 420ms/epoch - 9ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9492 - val_loss: 0.4267 - val_categorical_accuracy: 0.8944 - 454ms/epoch - 9ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9712 - val_loss: 0.4027 - val_categorical_accuracy: 0.9078 - 396ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9741 - val_loss: 0.4826 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9492 - val_loss: 0.3879 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9726 - val_loss: 0.3965 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9726 - val_loss: 0.4116 - val_categorical_accuracy: 0.9084 - 394ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9725 - val_loss: 0.4401 - val_categorical_accuracy: 0.9011 - 386ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9715 - val_loss: 0.4198 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9712 - val_loss: 0.4200 - val_categorical_accuracy: 0.9026 - 410ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9740 - val_loss: 0.4281 - val_categorical_accuracy: 0.9083 - 430ms/epoch - 9ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.1971 - categorical_accuracy: 0.9450 - val_loss: 0.3940 - val_categorical_accuracy: 0.9068 - 384ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9721 - val_loss: 0.4329 - val_categorical_accuracy: 0.8969 - 386ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9726 - val_loss: 0.4297 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9741 - val_loss: 0.4301 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9714 - val_loss: 0.5041 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.2189 - categorical_accuracy: 0.9407 - val_loss: 0.3931 - val_categorical_accuracy: 0.9085 - 424ms/epoch - 9ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9741 - val_loss: 0.4127 - val_categorical_accuracy: 0.9050 - 446ms/epoch - 9ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9727 - val_loss: 0.4077 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9726 - val_loss: 0.4559 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9693 - val_loss: 0.4515 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9704 - val_loss: 0.4138 - val_categorical_accuracy: 0.9098 - 394ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.1675 - categorical_accuracy: 0.9486 - val_loss: 0.3859 - val_categorical_accuracy: 0.9051 - 386ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9732 - val_loss: 0.4288 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9742 - val_loss: 0.4394 - val_categorical_accuracy: 0.9021 - 420ms/epoch - 9ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.1485 - categorical_accuracy: 0.9513 - val_loss: 0.3982 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9731 - val_loss: 0.5275 - val_categorical_accuracy: 0.8689 - 394ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9674 - val_loss: 0.4121 - val_categorical_accuracy: 0.9081 - 396ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9742 - val_loss: 0.4349 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9737 - val_loss: 0.4479 - val_categorical_accuracy: 0.8984 - 430ms/epoch - 9ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9712 - val_loss: 0.4156 - val_categorical_accuracy: 0.9092 - 430ms/epoch - 9ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9738 - val_loss: 0.4371 - val_categorical_accuracy: 0.9018 - 384ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9738 - val_loss: 0.4307 - val_categorical_accuracy: 0.9059 - 406ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.1679 - categorical_accuracy: 0.9515 - val_loss: 0.4071 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9719 - val_loss: 0.4443 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9733 - val_loss: 0.4185 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9735 - val_loss: 0.4115 - val_categorical_accuracy: 0.9104 - 384ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9725 - val_loss: 0.4560 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9713 - val_loss: 0.4355 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9740 - val_loss: 0.4451 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9722 - val_loss: 0.4278 - val_categorical_accuracy: 0.9045 - 410ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9719 - val_loss: 0.4339 - val_categorical_accuracy: 0.9050 - 444ms/epoch - 9ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.5213 - categorical_accuracy: 0.8900 - val_loss: 0.5868 - val_categorical_accuracy: 0.8045 - 386ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.1939 - categorical_accuracy: 0.9299 - val_loss: 0.3959 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9686 - val_loss: 0.3924 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9722 - val_loss: 0.3959 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9730 - val_loss: 0.4254 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9732 - val_loss: 0.4522 - val_categorical_accuracy: 0.8951 - 414ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9696 - val_loss: 0.4221 - val_categorical_accuracy: 0.9056 - 450ms/epoch - 9ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9747 - val_loss: 0.4099 - val_categorical_accuracy: 0.9091 - 394ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9732 - val_loss: 0.4328 - val_categorical_accuracy: 0.9009 - 394ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9732 - val_loss: 0.4238 - val_categorical_accuracy: 0.9039 - 384ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9736 - val_loss: 0.4282 - val_categorical_accuracy: 0.9071 - 386ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9744 - val_loss: 0.4673 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.1966 - categorical_accuracy: 0.9512 - val_loss: 0.8347 - val_categorical_accuracy: 0.7583 - 390ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.1213 - categorical_accuracy: 0.9576 - val_loss: 0.3914 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9746 - val_loss: 0.4432 - val_categorical_accuracy: 0.9002 - 434ms/epoch - 9ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9698 - val_loss: 0.4253 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9734 - val_loss: 0.4162 - val_categorical_accuracy: 0.9107 - 390ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9748 - val_loss: 0.4212 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9718 - val_loss: 0.4935 - val_categorical_accuracy: 0.8899 - 390ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9725 - val_loss: 0.4608 - val_categorical_accuracy: 0.9027 - 414ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.1792 - categorical_accuracy: 0.9491 - val_loss: 0.4041 - val_categorical_accuracy: 0.9051 - 396ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9740 - val_loss: 0.4439 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9728 - val_loss: 0.4390 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9737 - val_loss: 0.4229 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9719 - val_loss: 0.4192 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9736 - val_loss: 0.4329 - val_categorical_accuracy: 0.9070 - 432ms/epoch - 9ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9739 - val_loss: 0.4377 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9722 - val_loss: 0.4562 - val_categorical_accuracy: 0.8990 - 380ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.1405 - categorical_accuracy: 0.9556 - val_loss: 0.4212 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9748 - val_loss: 0.4185 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9740 - val_loss: 0.4562 - val_categorical_accuracy: 0.9029 - 394ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9732 - val_loss: 0.4493 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9731 - val_loss: 0.4419 - val_categorical_accuracy: 0.9051 - 430ms/epoch - 9ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9734 - val_loss: 0.4426 - val_categorical_accuracy: 0.9068 - 430ms/epoch - 9ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9744 - val_loss: 0.4439 - val_categorical_accuracy: 0.9054 - 384ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.1340 - categorical_accuracy: 0.9574 - val_loss: 0.4124 - val_categorical_accuracy: 0.9047 - 386ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9734 - val_loss: 0.4338 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9741 - val_loss: 0.4332 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.1968 - categorical_accuracy: 0.9457 - val_loss: 0.4484 - val_categorical_accuracy: 0.8907 - 410ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9701 - val_loss: 0.4140 - val_categorical_accuracy: 0.9067 - 414ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9739 - val_loss: 0.4111 - val_categorical_accuracy: 0.9142 - 386ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9740 - val_loss: 0.4418 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9726 - val_loss: 0.4279 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9725 - val_loss: 0.4405 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9749 - val_loss: 0.5001 - val_categorical_accuracy: 0.8895 - 410ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.2037 - categorical_accuracy: 0.9418 - val_loss: 0.4053 - val_categorical_accuracy: 0.9083 - 434ms/epoch - 9ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9735 - val_loss: 0.4477 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9738 - val_loss: 0.4241 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9746 - val_loss: 0.4492 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9738 - val_loss: 0.4349 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9744 - val_loss: 0.4471 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.2162 - categorical_accuracy: 0.9378 - val_loss: 0.4218 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9739 - val_loss: 0.4209 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9744 - val_loss: 0.4255 - val_categorical_accuracy: 0.9070 - 440ms/epoch - 9ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9710 - val_loss: 0.4256 - val_categorical_accuracy: 0.9062 - 394ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9751 - val_loss: 0.5155 - val_categorical_accuracy: 0.8881 - 386ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.1281 - categorical_accuracy: 0.9607 - val_loss: 0.4164 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9756 - val_loss: 0.4115 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9758 - val_loss: 0.4253 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9739 - val_loss: 0.5258 - val_categorical_accuracy: 0.8818 - 410ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.1806 - categorical_accuracy: 0.9506 - val_loss: 0.4089 - val_categorical_accuracy: 0.9083 - 434ms/epoch - 9ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9749 - val_loss: 0.4132 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9739 - val_loss: 0.4670 - val_categorical_accuracy: 0.8973 - 400ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9733 - val_loss: 0.4758 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.1315 - categorical_accuracy: 0.9585 - val_loss: 0.4385 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9742 - val_loss: 0.4320 - val_categorical_accuracy: 0.9034 - 418ms/epoch - 9ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9751 - val_loss: 0.4316 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9743 - val_loss: 0.4240 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9755 - val_loss: 0.4350 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.1771 - categorical_accuracy: 0.9481 - val_loss: 0.4051 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9750 - val_loss: 0.4135 - val_categorical_accuracy: 0.9085 - 425ms/epoch - 9ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9758 - val_loss: 0.4442 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9758 - val_loss: 0.4917 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9742 - val_loss: 0.4351 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9750 - val_loss: 0.4593 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9743 - val_loss: 0.4667 - val_categorical_accuracy: 0.9018 - 414ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9750 - val_loss: 0.4405 - val_categorical_accuracy: 0.9051 - 430ms/epoch - 9ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9736 - val_loss: 0.4929 - val_categorical_accuracy: 0.8925 - 400ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.1443 - categorical_accuracy: 0.9548 - val_loss: 0.4387 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9737 - val_loss: 0.4318 - val_categorical_accuracy: 0.9067 - 394ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9740 - val_loss: 0.4860 - val_categorical_accuracy: 0.8924 - 386ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.1793 - categorical_accuracy: 0.9502 - val_loss: 0.4216 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9754 - val_loss: 0.4564 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9755 - val_loss: 0.4685 - val_categorical_accuracy: 0.8990 - 394ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9745 - val_loss: 0.4466 - val_categorical_accuracy: 0.9065 - 410ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9728 - val_loss: 0.4452 - val_categorical_accuracy: 0.9062 - 455ms/epoch - 9ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9749 - val_loss: 0.4482 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9746 - val_loss: 0.5977 - val_categorical_accuracy: 0.8692 - 390ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.3260 - categorical_accuracy: 0.9172 - val_loss: 0.4034 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9738 - val_loss: 0.4139 - val_categorical_accuracy: 0.9057 - 384ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9758 - val_loss: 0.4164 - val_categorical_accuracy: 0.9092 - 396ms/epoch - 8ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9749 - val_loss: 0.4253 - val_categorical_accuracy: 0.9060 - 380ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9739 - val_loss: 0.4181 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9751 - val_loss: 0.6121 - val_categorical_accuracy: 0.8719 - 400ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.1983 - categorical_accuracy: 0.9463 - val_loss: 0.3955 - val_categorical_accuracy: 0.9077 - 430ms/epoch - 9ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9759 - val_loss: 0.4013 - val_categorical_accuracy: 0.9126 - 392ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9749 - val_loss: 0.4194 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9753 - val_loss: 0.4175 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9755 - val_loss: 0.4329 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9743 - val_loss: 0.4297 - val_categorical_accuracy: 0.9089 - 420ms/epoch - 9ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9758 - val_loss: 0.4547 - val_categorical_accuracy: 0.9035 - 434ms/epoch - 9ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9729 - val_loss: 0.4517 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9720 - val_loss: 0.4548 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9745 - val_loss: 0.4773 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.1973 - categorical_accuracy: 0.9456 - val_loss: 0.4791 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9741 - val_loss: 0.4261 - val_categorical_accuracy: 0.9081 - 388ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9760 - val_loss: 0.4292 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9749 - val_loss: 0.4413 - val_categorical_accuracy: 0.9052 - 410ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9721 - val_loss: 0.4269 - val_categorical_accuracy: 0.9100 - 430ms/epoch - 9ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4369 - val_categorical_accuracy: 0.9073 - 404ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4213 - val_categorical_accuracy: 0.9122 - 430ms/epoch - 9ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9754 - val_loss: 0.4755 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9729 - val_loss: 0.4979 - val_categorical_accuracy: 0.8951 - 400ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9740 - val_loss: 0.4479 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.1844 - categorical_accuracy: 0.9495 - val_loss: 0.4096 - val_categorical_accuracy: 0.8995 - 394ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9731 - val_loss: 0.4480 - val_categorical_accuracy: 0.9012 - 396ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9763 - val_loss: 0.4364 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9754 - val_loss: 0.4424 - val_categorical_accuracy: 0.9078 - 420ms/epoch - 9ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9757 - val_loss: 0.4728 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9723 - val_loss: 0.4557 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9745 - val_loss: 0.4484 - val_categorical_accuracy: 0.9100 - 389ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9749 - val_loss: 0.4295 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9738 - val_loss: 0.4543 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9756 - val_loss: 0.4998 - val_categorical_accuracy: 0.9002 - 410ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9625 - val_loss: 0.4513 - val_categorical_accuracy: 0.9085 - 410ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9746 - val_loss: 0.4387 - val_categorical_accuracy: 0.9097 - 421ms/epoch - 9ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9720 - val_loss: 0.4920 - val_categorical_accuracy: 0.9004 - 418ms/epoch - 9ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.1961 - categorical_accuracy: 0.9487 - val_loss: 0.4294 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9741 - val_loss: 0.4238 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9756 - val_loss: 0.4610 - val_categorical_accuracy: 0.9024 - 410ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9759 - val_loss: 0.4601 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9757 - val_loss: 0.4372 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9755 - val_loss: 0.4332 - val_categorical_accuracy: 0.9105 - 410ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9763 - val_loss: 0.4421 - val_categorical_accuracy: 0.9102 - 410ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9772 - val_loss: 0.4812 - val_categorical_accuracy: 0.8999 - 410ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9731 - val_loss: 0.4540 - val_categorical_accuracy: 0.9073 - 420ms/epoch - 9ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9759 - val_loss: 0.4982 - val_categorical_accuracy: 0.8974 - 430ms/epoch - 9ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.1323 - categorical_accuracy: 0.9595 - val_loss: 0.4331 - val_categorical_accuracy: 0.9071 - 450ms/epoch - 9ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9762 - val_loss: 0.4441 - val_categorical_accuracy: 0.9076 - 410ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9762 - val_loss: 0.4670 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9730 - val_loss: 0.4695 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9762 - val_loss: 0.4505 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9757 - val_loss: 0.4505 - val_categorical_accuracy: 0.9114 - 400ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9764 - val_loss: 0.4485 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.5131 - val_categorical_accuracy: 0.8961 - 425ms/epoch - 9ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.1777 - categorical_accuracy: 0.9516 - val_loss: 0.4575 - val_categorical_accuracy: 0.9028 - 430ms/epoch - 9ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9748 - val_loss: 0.4275 - val_categorical_accuracy: 0.9140 - 430ms/epoch - 9ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9736 - val_loss: 0.4378 - val_categorical_accuracy: 0.9105 - 420ms/epoch - 9ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9744 - val_loss: 0.4961 - val_categorical_accuracy: 0.9004 - 420ms/epoch - 9ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.3779 - categorical_accuracy: 0.9081 - val_loss: 0.4002 - val_categorical_accuracy: 0.9040 - 430ms/epoch - 9ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9746 - val_loss: 0.4104 - val_categorical_accuracy: 0.9066 - 415ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9768 - val_loss: 0.4348 - val_categorical_accuracy: 0.9066 - 420ms/epoch - 9ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9769 - val_loss: 0.4312 - val_categorical_accuracy: 0.9091 - 408ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9763 - val_loss: 0.4270 - val_categorical_accuracy: 0.9104 - 404ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9762 - val_loss: 0.4415 - val_categorical_accuracy: 0.9074 - 401ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9732 - val_loss: 0.4462 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9756 - val_loss: 0.4582 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9762 - val_loss: 0.4611 - val_categorical_accuracy: 0.9059 - 394ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9754 - val_loss: 0.4949 - val_categorical_accuracy: 0.8981 - 394ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9747 - val_loss: 0.4717 - val_categorical_accuracy: 0.9029 - 396ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9750 - val_loss: 0.4815 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.2316 - categorical_accuracy: 0.9367 - val_loss: 0.4084 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9760 - val_loss: 0.4320 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9771 - val_loss: 0.4361 - val_categorical_accuracy: 0.9112 - 404ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9760 - val_loss: 0.4323 - val_categorical_accuracy: 0.9130 - 416ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.4430 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9764 - val_loss: 0.4613 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9770 - val_loss: 0.8416 - val_categorical_accuracy: 0.8151 - 400ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.1834 - categorical_accuracy: 0.9487 - val_loss: 0.4347 - val_categorical_accuracy: 0.9060 - 404ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9759 - val_loss: 0.4401 - val_categorical_accuracy: 0.9061 - 416ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9750 - val_loss: 0.4706 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9751 - val_loss: 0.4528 - val_categorical_accuracy: 0.9081 - 430ms/epoch - 9ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9753 - val_loss: 0.4489 - val_categorical_accuracy: 0.9102 - 420ms/epoch - 9ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9768 - val_loss: 0.4622 - val_categorical_accuracy: 0.9086 - 410ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9746 - val_loss: 0.4693 - val_categorical_accuracy: 0.9015 - 420ms/epoch - 9ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9758 - val_loss: 0.4711 - val_categorical_accuracy: 0.9046 - 440ms/epoch - 9ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9756 - val_loss: 0.4598 - val_categorical_accuracy: 0.9055 - 420ms/epoch - 9ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9773 - val_loss: 0.4734 - val_categorical_accuracy: 0.9053 - 410ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9766 - val_loss: 0.4668 - val_categorical_accuracy: 0.9064 - 404ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.2573 - categorical_accuracy: 0.9340 - val_loss: 0.4026 - val_categorical_accuracy: 0.9041 - 440ms/epoch - 9ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9744 - val_loss: 0.4200 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9773 - val_loss: 0.4226 - val_categorical_accuracy: 0.9119 - 410ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 1s - loss: 0.0648 - categorical_accuracy: 0.9769 - val_loss: 0.4340 - val_categorical_accuracy: 0.9098 - 591ms/epoch - 12ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9768 - val_loss: 0.4474 - val_categorical_accuracy: 0.9101 - 399ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9763 - val_loss: 0.5117 - val_categorical_accuracy: 0.8931 - 410ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.1576 - categorical_accuracy: 0.9543 - val_loss: 0.4377 - val_categorical_accuracy: 0.9042 - 410ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9769 - val_loss: 0.4290 - val_categorical_accuracy: 0.9122 - 420ms/epoch - 9ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9765 - val_loss: 0.6149 - val_categorical_accuracy: 0.8654 - 414ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.1338 - categorical_accuracy: 0.9593 - val_loss: 0.4633 - val_categorical_accuracy: 0.8993 - 470ms/epoch - 10ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9763 - val_loss: 0.4363 - val_categorical_accuracy: 0.9061 - 460ms/epoch - 9ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9763 - val_loss: 0.4655 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9759 - val_loss: 0.4783 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9757 - val_loss: 0.4703 - val_categorical_accuracy: 0.9009 - 410ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9749 - val_loss: 0.4472 - val_categorical_accuracy: 0.9088 - 420ms/epoch - 9ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9743 - val_loss: 0.4508 - val_categorical_accuracy: 0.9087 - 420ms/epoch - 9ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9764 - val_loss: 0.4630 - val_categorical_accuracy: 0.9060 - 410ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9760 - val_loss: 0.4591 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9750 - val_loss: 0.4858 - val_categorical_accuracy: 0.8990 - 460ms/epoch - 9ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.2521 - categorical_accuracy: 0.9345 - val_loss: 0.4061 - val_categorical_accuracy: 0.9074 - 460ms/epoch - 9ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9763 - val_loss: 0.4462 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9776 - val_loss: 0.4469 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9772 - val_loss: 0.4552 - val_categorical_accuracy: 0.9018 - 460ms/epoch - 9ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9771 - val_loss: 0.5331 - val_categorical_accuracy: 0.8856 - 400ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9523 - val_loss: 0.4165 - val_categorical_accuracy: 0.9106 - 410ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9777 - val_loss: 0.4342 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9769 - val_loss: 0.5910 - val_categorical_accuracy: 0.8716 - 440ms/epoch - 9ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9728 - val_loss: 0.4312 - val_categorical_accuracy: 0.9111 - 454ms/epoch - 9ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9766 - val_loss: 0.4605 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9766 - val_loss: 0.5373 - val_categorical_accuracy: 0.8909 - 410ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9534 - val_loss: 0.4304 - val_categorical_accuracy: 0.9075 - 430ms/epoch - 9ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9770 - val_loss: 0.4311 - val_categorical_accuracy: 0.9094 - 420ms/epoch - 9ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9767 - val_loss: 0.5106 - val_categorical_accuracy: 0.8920 - 408ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9746 - val_loss: 0.6860 - val_categorical_accuracy: 0.8556 - 411ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.1937 - categorical_accuracy: 0.9459 - val_loss: 0.4325 - val_categorical_accuracy: 0.9049 - 408ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9766 - val_loss: 0.4275 - val_categorical_accuracy: 0.9128 - 450ms/epoch - 9ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9770 - val_loss: 0.4233 - val_categorical_accuracy: 0.9116 - 444ms/epoch - 9ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9772 - val_loss: 0.4381 - val_categorical_accuracy: 0.9085 - 406ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9766 - val_loss: 0.4457 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9769 - val_loss: 0.4598 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9764 - val_loss: 0.4735 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9750 - val_loss: 0.4634 - val_categorical_accuracy: 0.9031 - 394ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.1818 - categorical_accuracy: 0.9499 - val_loss: 0.4117 - val_categorical_accuracy: 0.9061 - 396ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9767 - val_loss: 0.4156 - val_categorical_accuracy: 0.9140 - 390ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9768 - val_loss: 0.4346 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.4306 - val_categorical_accuracy: 0.9123 - 410ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.4558 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9739 - val_loss: 0.6179 - val_categorical_accuracy: 0.8663 - 388ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9487 - val_loss: 0.4218 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9761 - val_loss: 0.4351 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9764 - val_loss: 0.4478 - val_categorical_accuracy: 0.9091 - 394ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9764 - val_loss: 0.4653 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9777 - val_loss: 0.4570 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9772 - val_loss: 0.4882 - val_categorical_accuracy: 0.9010 - 440ms/epoch - 9ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9761 - val_loss: 0.4694 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9767 - val_loss: 0.4640 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9776 - val_loss: 0.4531 - val_categorical_accuracy: 0.9097 - 394ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9757 - val_loss: 0.4494 - val_categorical_accuracy: 0.9136 - 386ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9774 - val_loss: 0.4658 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9775 - val_loss: 0.4588 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0903 - categorical_accuracy: 0.9697 - val_loss: 1.6741 - val_categorical_accuracy: 0.8001 - 410ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9580 - val_loss: 0.4428 - val_categorical_accuracy: 0.9080 - 414ms/epoch - 8ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9774 - val_loss: 0.4531 - val_categorical_accuracy: 0.9047 - 396ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9781 - val_loss: 0.4377 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9715 - val_loss: 0.4572 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9774 - val_loss: 0.5188 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9767 - val_loss: 0.4801 - val_categorical_accuracy: 0.9050 - 404ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9770 - val_loss: 0.4510 - val_categorical_accuracy: 0.9116 - 396ms/epoch - 8ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9771 - val_loss: 0.4681 - val_categorical_accuracy: 0.9084 - 410ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9775 - val_loss: 0.4857 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9734 - val_loss: 0.5080 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9761 - val_loss: 0.5134 - val_categorical_accuracy: 0.9005 - 394ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9752 - val_loss: 0.4813 - val_categorical_accuracy: 0.9046 - 396ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9765 - val_loss: 0.5133 - val_categorical_accuracy: 0.8972 - 410ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.2328 - categorical_accuracy: 0.9405 - val_loss: 0.4246 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9767 - val_loss: 0.4384 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9777 - val_loss: 0.4728 - val_categorical_accuracy: 0.9048 - 404ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9758 - val_loss: 0.4508 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9770 - val_loss: 0.5063 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9757 - val_loss: 0.4544 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9774 - val_loss: 0.5254 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9752 - val_loss: 0.4803 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.5068 - val_categorical_accuracy: 0.8993 - 394ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.2208 - categorical_accuracy: 0.9428 - val_loss: 0.4321 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9770 - val_loss: 0.4342 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9775 - val_loss: 0.4376 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9782 - val_loss: 0.4537 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9783 - val_loss: 0.4836 - val_categorical_accuracy: 0.9010 - 412ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9716 - val_loss: 0.4500 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9768 - val_loss: 0.4662 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9759 - val_loss: 0.4938 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9743 - val_loss: 0.4804 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9774 - val_loss: 0.4738 - val_categorical_accuracy: 0.9072 - 404ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9782 - val_loss: 0.4767 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9775 - val_loss: 0.4560 - val_categorical_accuracy: 0.9142 - 390ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9788 - val_loss: 0.4851 - val_categorical_accuracy: 0.9097 - 440ms/epoch - 9ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9775 - val_loss: 0.4757 - val_categorical_accuracy: 0.9081 - 430ms/epoch - 9ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9761 - val_loss: 0.4959 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9768 - val_loss: 0.4756 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9750 - val_loss: 0.5768 - val_categorical_accuracy: 0.8827 - 400ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.1942 - categorical_accuracy: 0.9459 - val_loss: 0.4702 - val_categorical_accuracy: 0.9040 - 410ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9772 - val_loss: 0.4502 - val_categorical_accuracy: 0.9096 - 394ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9776 - val_loss: 0.5119 - val_categorical_accuracy: 0.8952 - 396ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9770 - val_loss: 0.4925 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9765 - val_loss: 0.4639 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.4901 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9762 - val_loss: 0.4664 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9772 - val_loss: 0.5181 - val_categorical_accuracy: 0.8972 - 392ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.2927 - categorical_accuracy: 0.9284 - val_loss: 0.4392 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9769 - val_loss: 0.4576 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9771 - val_loss: 0.4842 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9767 - val_loss: 0.4760 - val_categorical_accuracy: 0.9044 - 410ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9777 - val_loss: 0.4525 - val_categorical_accuracy: 0.9096 - 398ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9771 - val_loss: 0.5476 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.1785 - categorical_accuracy: 0.9503 - val_loss: 0.4509 - val_categorical_accuracy: 0.9040 - 410ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9776 - val_loss: 0.4549 - val_categorical_accuracy: 0.9065 - 420ms/epoch - 9ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.4486 - val_categorical_accuracy: 0.9107 - 394ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9789 - val_loss: 0.4824 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9772 - val_loss: 0.4902 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9789 - val_loss: 0.4626 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.2281 - categorical_accuracy: 0.9425 - val_loss: 0.4190 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9778 - val_loss: 0.4517 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9765 - val_loss: 0.4498 - val_categorical_accuracy: 0.9055 - 392ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.4819 - val_categorical_accuracy: 0.9040 - 405ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9781 - val_loss: 0.4478 - val_categorical_accuracy: 0.9124 - 395ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.4707 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9777 - val_loss: 0.4681 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.4846 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.2044 - categorical_accuracy: 0.9472 - val_loss: 0.4257 - val_categorical_accuracy: 0.9084 - 397ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9782 - val_loss: 0.4339 - val_categorical_accuracy: 0.9133 - 400ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9768 - val_loss: 0.4457 - val_categorical_accuracy: 0.9134 - 430ms/epoch - 9ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9788 - val_loss: 0.4618 - val_categorical_accuracy: 0.9079 - 404ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9783 - val_loss: 0.4584 - val_categorical_accuracy: 0.9109 - 396ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9792 - val_loss: 0.5576 - val_categorical_accuracy: 0.8838 - 400ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.2439 - categorical_accuracy: 0.9372 - val_loss: 0.4439 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9775 - val_loss: 0.4405 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9781 - val_loss: 0.4606 - val_categorical_accuracy: 0.9106 - 404ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9784 - val_loss: 0.4715 - val_categorical_accuracy: 0.9104 - 396ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9787 - val_loss: 0.4834 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.1215 - categorical_accuracy: 0.9629 - val_loss: 0.4650 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9775 - val_loss: 0.5027 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9782 - val_loss: 0.4781 - val_categorical_accuracy: 0.9042 - 404ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9780 - val_loss: 0.4602 - val_categorical_accuracy: 0.9110 - 406ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9782 - val_loss: 0.4853 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9769 - val_loss: 0.4699 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9782 - val_loss: 0.5027 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9763 - val_loss: 0.5063 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9755 - val_loss: 0.5095 - val_categorical_accuracy: 0.9009 - 392ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9682 - val_loss: 2.2715 - val_categorical_accuracy: 0.7548 - 400ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.1778 - categorical_accuracy: 0.9514 - val_loss: 0.4318 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9780 - val_loss: 0.4584 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9766 - val_loss: 0.4433 - val_categorical_accuracy: 0.9137 - 400ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9791 - val_loss: 0.4657 - val_categorical_accuracy: 0.9039 - 404ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9774 - val_loss: 0.4887 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9781 - val_loss: 0.4732 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9785 - val_loss: 0.4654 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9782 - val_loss: 0.4698 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9778 - val_loss: 0.5366 - val_categorical_accuracy: 0.8912 - 394ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9758 - val_loss: 0.4781 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.5082 - val_categorical_accuracy: 0.9011 - 420ms/epoch - 9ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9776 - val_loss: 0.5355 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.1410 - categorical_accuracy: 0.9590 - val_loss: 0.4492 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9776 - val_loss: 0.4652 - val_categorical_accuracy: 0.9081 - 405ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9776 - val_loss: 0.4664 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9783 - val_loss: 0.4720 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9755 - val_loss: 0.5393 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4766 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9776 - val_loss: 0.4928 - val_categorical_accuracy: 0.9041 - 395ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9783 - val_loss: 0.4977 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9773 - val_loss: 0.4832 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9741 - val_loss: 0.4770 - val_categorical_accuracy: 0.9105 - 460ms/epoch - 9ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9771 - val_loss: 0.4784 - val_categorical_accuracy: 0.9098 - 414ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9786 - val_loss: 0.4812 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9732 - val_loss: 1.2715 - val_categorical_accuracy: 0.7813 - 400ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.2787 - categorical_accuracy: 0.9312 - val_loss: 0.4440 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9777 - val_loss: 0.4346 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9793 - val_loss: 0.4436 - val_categorical_accuracy: 0.9117 - 394ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.4907 - val_categorical_accuracy: 0.8978 - 396ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.1769 - categorical_accuracy: 0.9506 - val_loss: 0.4579 - val_categorical_accuracy: 0.9023 - 410ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9776 - val_loss: 0.4453 - val_categorical_accuracy: 0.9107 - 400ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9776 - val_loss: 0.4744 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9786 - val_loss: 0.4616 - val_categorical_accuracy: 0.9084 - 404ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.4616 - val_categorical_accuracy: 0.9112 - 406ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9783 - val_loss: 0.4637 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9689 - val_loss: 1.4674 - val_categorical_accuracy: 0.7751 - 400ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.1308 - categorical_accuracy: 0.9620 - val_loss: 0.4714 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9787 - val_loss: 0.4662 - val_categorical_accuracy: 0.9063 - 404ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9786 - val_loss: 0.4567 - val_categorical_accuracy: 0.9107 - 406ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9766 - val_loss: 0.4986 - val_categorical_accuracy: 0.9022 - 410ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9779 - val_loss: 0.4639 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9796 - val_loss: 0.5039 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9764 - val_loss: 0.4906 - val_categorical_accuracy: 0.9008 - 420ms/epoch - 9ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9784 - val_loss: 0.5130 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9779 - val_loss: 0.4869 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9786 - val_loss: 0.4977 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9778 - val_loss: 0.4827 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9788 - val_loss: 0.5502 - val_categorical_accuracy: 0.8940 - 440ms/epoch - 9ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9772 - val_loss: 0.4832 - val_categorical_accuracy: 0.9079 - 440ms/epoch - 9ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9773 - val_loss: 0.5034 - val_categorical_accuracy: 0.9063 - 410ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9774 - val_loss: 0.5337 - val_categorical_accuracy: 0.8990 - 399ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.2229 - categorical_accuracy: 0.9430 - val_loss: 0.4484 - val_categorical_accuracy: 0.9061 - 399ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9783 - val_loss: 0.4645 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9791 - val_loss: 0.4681 - val_categorical_accuracy: 0.9115 - 410ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9786 - val_loss: 0.4688 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9791 - val_loss: 0.5025 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.1538 - categorical_accuracy: 0.9576 - val_loss: 0.4508 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9790 - val_loss: 0.4612 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9774 - val_loss: 0.4564 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9790 - val_loss: 0.4864 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.5069 - val_categorical_accuracy: 0.9006 - 410ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9762 - val_loss: 0.4778 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9777 - val_loss: 0.4767 - val_categorical_accuracy: 0.9116 - 405ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9788 - val_loss: 0.5126 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.1633 - categorical_accuracy: 0.9527 - val_loss: 0.4779 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9778 - val_loss: 0.4568 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9770 - val_loss: 0.4543 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9787 - val_loss: 0.4682 - val_categorical_accuracy: 0.9076 - 394ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9785 - val_loss: 0.4819 - val_categorical_accuracy: 0.9056 - 410ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9792 - val_loss: 0.4727 - val_categorical_accuracy: 0.9114 - 400ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9781 - val_loss: 0.5061 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9783 - val_loss: 0.5091 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9566 - val_loss: 0.4619 - val_categorical_accuracy: 0.9089 - 394ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9785 - val_loss: 0.4515 - val_categorical_accuracy: 0.9137 - 390ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9793 - val_loss: 0.4695 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9781 - val_loss: 0.4715 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9795 - val_loss: 0.4830 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9784 - val_loss: 0.5001 - val_categorical_accuracy: 0.9068 - 404ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9789 - val_loss: 0.5129 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9748 - val_loss: 0.4835 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.1425 - categorical_accuracy: 0.9586 - val_loss: 0.4373 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9789 - val_loss: 0.4888 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9781 - val_loss: 0.5124 - val_categorical_accuracy: 0.9041 - 395ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.2229 - categorical_accuracy: 0.9417 - val_loss: 0.4249 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9787 - val_loss: 0.4386 - val_categorical_accuracy: 0.9134 - 410ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9795 - val_loss: 0.4769 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9790 - val_loss: 0.4838 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9792 - val_loss: 0.4700 - val_categorical_accuracy: 0.9031 - 394ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9796 - val_loss: 0.4666 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.4816 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9794 - val_loss: 0.4840 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.1893 - categorical_accuracy: 0.9476 - val_loss: 0.4566 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9783 - val_loss: 0.4636 - val_categorical_accuracy: 0.9055 - 414ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9791 - val_loss: 0.5831 - val_categorical_accuracy: 0.8898 - 430ms/epoch - 9ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9710 - val_loss: 0.4613 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9788 - val_loss: 0.4840 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9793 - val_loss: 0.4698 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9788 - val_loss: 0.5392 - val_categorical_accuracy: 0.8995 - 394ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9776 - val_loss: 0.4889 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9789 - val_loss: 0.5130 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9794 - val_loss: 0.5186 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.4815 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9789 - val_loss: 0.4805 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.4927 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9788 - val_loss: 0.5076 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 1s - loss: 0.0577 - categorical_accuracy: 0.9791 - val_loss: 0.5255 - val_categorical_accuracy: 0.8995 - 570ms/epoch - 12ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.4917 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9796 - val_loss: 0.6406 - val_categorical_accuracy: 0.8803 - 404ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.1825 - categorical_accuracy: 0.9492 - val_loss: 0.4774 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9796 - val_loss: 0.4692 - val_categorical_accuracy: 0.9130 - 400ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.4727 - val_categorical_accuracy: 0.9123 - 430ms/epoch - 9ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9786 - val_loss: 0.5010 - val_categorical_accuracy: 0.9055 - 410ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9772 - val_loss: 0.5884 - val_categorical_accuracy: 0.8775 - 405ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.1973 - categorical_accuracy: 0.9469 - val_loss: 0.4709 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.4599 - val_categorical_accuracy: 0.9121 - 410ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9794 - val_loss: 0.5006 - val_categorical_accuracy: 0.9012 - 410ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9784 - val_loss: 0.4776 - val_categorical_accuracy: 0.9100 - 404ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9793 - val_loss: 0.4719 - val_categorical_accuracy: 0.9136 - 406ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9801 - val_loss: 0.4749 - val_categorical_accuracy: 0.9101 - 389ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.4756 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9778 - val_loss: 0.4885 - val_categorical_accuracy: 0.9064 - 407ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9799 - val_loss: 0.5276 - val_categorical_accuracy: 0.9022 - 404ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9782 - val_loss: 0.4998 - val_categorical_accuracy: 0.9065 - 406ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9795 - val_loss: 0.4889 - val_categorical_accuracy: 0.9105 - 412ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9801 - val_loss: 0.4954 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.1394 - categorical_accuracy: 0.9592 - val_loss: 0.4535 - val_categorical_accuracy: 0.9087 - 394ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9788 - val_loss: 0.4707 - val_categorical_accuracy: 0.9127 - 394ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9765 - val_loss: 0.5112 - val_categorical_accuracy: 0.9010 - 386ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.4896 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9759 - val_loss: 0.4793 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5084 - val_categorical_accuracy: 0.9050 - 410ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9798 - val_loss: 0.5304 - val_categorical_accuracy: 0.8973 - 404ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.1694 - categorical_accuracy: 0.9521 - val_loss: 0.4852 - val_categorical_accuracy: 0.9030 - 396ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9787 - val_loss: 0.4622 - val_categorical_accuracy: 0.9146 - 410ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9797 - val_loss: 0.4687 - val_categorical_accuracy: 0.9134 - 390ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9798 - val_loss: 0.5028 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9788 - val_loss: 0.4870 - val_categorical_accuracy: 0.9104 - 404ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9787 - val_loss: 0.5138 - val_categorical_accuracy: 0.9009 - 402ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9785 - val_loss: 0.4896 - val_categorical_accuracy: 0.9124 - 410ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9787 - val_loss: 0.5241 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9749 - val_loss: 0.8876 - val_categorical_accuracy: 0.8424 - 390ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.1558 - categorical_accuracy: 0.9589 - val_loss: 0.5134 - val_categorical_accuracy: 0.9016 - 394ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9795 - val_loss: 0.4709 - val_categorical_accuracy: 0.9117 - 396ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.5012 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9791 - val_loss: 0.4875 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.2513 - categorical_accuracy: 0.9365 - val_loss: 0.4323 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9790 - val_loss: 0.4484 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9801 - val_loss: 0.4735 - val_categorical_accuracy: 0.9084 - 395ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9791 - val_loss: 0.5198 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.4828 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9797 - val_loss: 0.4872 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.4720 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9794 - val_loss: 0.4930 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9801 - val_loss: 0.5316 - val_categorical_accuracy: 0.9023 - 420ms/epoch - 9ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9715 - val_loss: 0.4886 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9789 - val_loss: 0.4873 - val_categorical_accuracy: 0.9125 - 400ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.5612 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9449 - val_loss: 0.4815 - val_categorical_accuracy: 0.8998 - 394ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9776 - val_loss: 0.4864 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9786 - val_loss: 0.4659 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9794 - val_loss: 0.4736 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9799 - val_loss: 0.5011 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9797 - val_loss: 0.5276 - val_categorical_accuracy: 0.8963 - 405ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9789 - val_loss: 0.5245 - val_categorical_accuracy: 0.8973 - 430ms/epoch - 9ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9788 - val_loss: 0.4863 - val_categorical_accuracy: 0.9131 - 400ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9797 - val_loss: 0.5179 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9797 - val_loss: 0.5044 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9775 - val_loss: 0.5285 - val_categorical_accuracy: 0.9018 - 395ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.5243 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9788 - val_loss: 0.5042 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9804 - val_loss: 0.5219 - val_categorical_accuracy: 0.9025 - 410ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5251 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9767 - val_loss: 0.5096 - val_categorical_accuracy: 0.9096 - 405ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9799 - val_loss: 0.5485 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.5009 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9800 - val_loss: 0.5413 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9770 - val_loss: 0.5756 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.2462 - categorical_accuracy: 0.9381 - val_loss: 0.4580 - val_categorical_accuracy: 0.9092 - 405ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9774 - val_loss: 0.4953 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9802 - val_loss: 0.4966 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9793 - val_loss: 0.4935 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9798 - val_loss: 0.5007 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.4934 - val_categorical_accuracy: 0.9121 - 394ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9793 - val_loss: 0.5278 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9794 - val_loss: 0.5172 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9528 - val_loss: 0.4803 - val_categorical_accuracy: 0.8943 - 400ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9769 - val_loss: 0.4646 - val_categorical_accuracy: 0.9108 - 410ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9799 - val_loss: 0.5069 - val_categorical_accuracy: 0.8998 - 434ms/epoch - 9ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.1476 - categorical_accuracy: 0.9571 - val_loss: 0.4661 - val_categorical_accuracy: 0.8897 - 400ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9762 - val_loss: 0.4675 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9800 - val_loss: 0.4751 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9808 - val_loss: 0.4846 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9809 - val_loss: 0.4872 - val_categorical_accuracy: 0.9095 - 394ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.4801 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9792 - val_loss: 0.4947 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9803 - val_loss: 0.4964 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9804 - val_loss: 0.5187 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9787 - val_loss: 0.5028 - val_categorical_accuracy: 0.9068 - 414ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9788 - val_loss: 0.5156 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9753 - val_loss: 0.5005 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9804 - val_loss: 0.5408 - val_categorical_accuracy: 0.8998 - 394ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9798 - val_loss: 0.5546 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9608 - val_loss: 0.4645 - val_categorical_accuracy: 0.9117 - 435ms/epoch - 9ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9799 - val_loss: 0.4776 - val_categorical_accuracy: 0.9133 - 440ms/epoch - 9ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.4854 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9785 - val_loss: 0.4956 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.5122 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.5124 - val_categorical_accuracy: 0.9083 - 384ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9793 - val_loss: 0.4900 - val_categorical_accuracy: 0.9152 - 390ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9799 - val_loss: 0.5120 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9797 - val_loss: 0.4964 - val_categorical_accuracy: 0.9149 - 410ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9802 - val_loss: 0.4952 - val_categorical_accuracy: 0.9123 - 400ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9782 - val_loss: 0.5218 - val_categorical_accuracy: 0.9078 - 420ms/epoch - 9ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.1199 - categorical_accuracy: 0.9652 - val_loss: 0.5188 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9782 - val_loss: 0.5067 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9806 - val_loss: 0.4874 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.4951 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9779 - val_loss: 0.5150 - val_categorical_accuracy: 0.9054 - 420ms/epoch - 9ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9799 - val_loss: 0.5447 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9758 - val_loss: 1.2451 - val_categorical_accuracy: 0.7832 - 400ms/epoch - 8ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9616 - val_loss: 0.5203 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9780 - val_loss: 0.4918 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9798 - val_loss: 0.5425 - val_categorical_accuracy: 0.8975 - 394ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9778 - val_loss: 0.4979 - val_categorical_accuracy: 0.9100 - 430ms/epoch - 9ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9804 - val_loss: 0.5201 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5018 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9809 - val_loss: 0.5103 - val_categorical_accuracy: 0.9095 - 410ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9559 - val_loss: 0.4699 - val_categorical_accuracy: 0.9111 - 395ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9793 - val_loss: 0.5093 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9801 - val_loss: 0.5038 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.4982 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9800 - val_loss: 0.5004 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9768 - val_loss: 0.5034 - val_categorical_accuracy: 0.9112 - 414ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9810 - val_loss: 0.4978 - val_categorical_accuracy: 0.9104 - 440ms/epoch - 9ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.5647 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.1457 - categorical_accuracy: 0.9580 - val_loss: 0.4963 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9809 - val_loss: 0.4975 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9798 - val_loss: 0.5177 - val_categorical_accuracy: 0.9023 - 385ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.5303 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9812 - val_loss: 0.4978 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9796 - val_loss: 0.5207 - val_categorical_accuracy: 0.9088 - 420ms/epoch - 9ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9801 - val_loss: 0.6465 - val_categorical_accuracy: 0.8827 - 440ms/epoch - 9ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.2049 - categorical_accuracy: 0.9469 - val_loss: 0.4686 - val_categorical_accuracy: 0.9098 - 410ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9796 - val_loss: 0.4859 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.4959 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9781 - val_loss: 0.4871 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.5320 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9781 - val_loss: 0.5019 - val_categorical_accuracy: 0.9102 - 394ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.5041 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.4988 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9812 - val_loss: 0.5204 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9795 - val_loss: 0.5168 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9781 - val_loss: 0.5722 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9782 - val_loss: 0.5199 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9756 - val_loss: 0.8553 - val_categorical_accuracy: 0.8624 - 390ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.9150 - val_loss: 0.4634 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9785 - val_loss: 0.4720 - val_categorical_accuracy: 0.9078 - 420ms/epoch - 9ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9802 - val_loss: 0.4809 - val_categorical_accuracy: 0.9099 - 440ms/epoch - 9ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9794 - val_loss: 0.4799 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.4864 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5030 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9806 - val_loss: 0.4901 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9802 - val_loss: 0.5016 - val_categorical_accuracy: 0.9074 - 385ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9810 - val_loss: 0.5350 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9781 - val_loss: 0.5271 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9788 - val_loss: 0.5202 - val_categorical_accuracy: 0.9068 - 420ms/epoch - 9ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.5138 - val_categorical_accuracy: 0.9085 - 440ms/epoch - 9ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9799 - val_loss: 0.5165 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9798 - val_loss: 0.5047 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.6529 - val_categorical_accuracy: 0.8733 - 390ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.1663 - categorical_accuracy: 0.9541 - val_loss: 0.4955 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9803 - val_loss: 0.4820 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9807 - val_loss: 0.5072 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9809 - val_loss: 0.4845 - val_categorical_accuracy: 0.9133 - 420ms/epoch - 9ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9811 - val_loss: 0.5121 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9813 - val_loss: 0.5086 - val_categorical_accuracy: 0.9060 - 384ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9805 - val_loss: 0.5048 - val_categorical_accuracy: 0.9095 - 380ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9813 - val_loss: 0.5125 - val_categorical_accuracy: 0.9102 - 384ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.5190 - val_categorical_accuracy: 0.9075 - 410ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9791 - val_loss: 0.5293 - val_categorical_accuracy: 0.9082 - 440ms/epoch - 9ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9796 - val_loss: 0.5326 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.5314 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9807 - val_loss: 0.5404 - val_categorical_accuracy: 0.9060 - 404ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9775 - val_loss: 0.5413 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9801 - val_loss: 0.5339 - val_categorical_accuracy: 0.9069 - 410ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.1873 - categorical_accuracy: 0.9493 - val_loss: 0.4683 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9802 - val_loss: 0.4857 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5108 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9803 - val_loss: 0.5432 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9722 - val_loss: 0.5554 - val_categorical_accuracy: 0.8982 - 420ms/epoch - 9ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9797 - val_loss: 0.5686 - val_categorical_accuracy: 0.8959 - 440ms/epoch - 9ms/step
processing fold # 5 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.

49/49 - 1s - loss: 1.8977 - categorical_accuracy: 0.3580 - val_loss: 1.8527 - val_categorical_accuracy: 0.3661 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8328 - categorical_accuracy: 0.3634 - val_loss: 1.8020 - val_categorical_accuracy: 0.3666 - 400ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.7675 - categorical_accuracy: 0.3927 - val_loss: 1.7270 - val_categorical_accuracy: 0.4086 - 380ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7057 - categorical_accuracy: 0.4178 - val_loss: 1.6128 - val_categorical_accuracy: 0.4523 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6268 - categorical_accuracy: 0.4433 - val_loss: 1.6030 - val_categorical_accuracy: 0.4354 - 440ms/epoch - 9ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.5341 - categorical_accuracy: 0.4743 - val_loss: 1.4497 - val_categorical_accuracy: 0.5204 - 390ms/epoch - 8ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.4442 - categorical_accuracy: 0.5059 - val_loss: 1.4570 - val_categorical_accuracy: 0.4901 - 400ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4001 - categorical_accuracy: 0.5245 - val_loss: 1.3516 - val_categorical_accuracy: 0.5471 - 390ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.3430 - categorical_accuracy: 0.5386 - val_loss: 1.2814 - val_categorical_accuracy: 0.5574 - 390ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3232 - categorical_accuracy: 0.5427 - val_loss: 1.2439 - val_categorical_accuracy: 0.5706 - 410ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.2817 - categorical_accuracy: 0.5532 - val_loss: 1.2078 - val_categorical_accuracy: 0.5749 - 430ms/epoch - 9ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2444 - categorical_accuracy: 0.5631 - val_loss: 1.2203 - val_categorical_accuracy: 0.5774 - 400ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2386 - categorical_accuracy: 0.5664 - val_loss: 1.1615 - val_categorical_accuracy: 0.5893 - 400ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.1791 - categorical_accuracy: 0.5823 - val_loss: 1.5405 - val_categorical_accuracy: 0.4648 - 390ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1932 - categorical_accuracy: 0.5774 - val_loss: 1.1766 - val_categorical_accuracy: 0.5834 - 390ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1527 - categorical_accuracy: 0.5911 - val_loss: 1.1058 - val_categorical_accuracy: 0.6087 - 410ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1095 - categorical_accuracy: 0.6023 - val_loss: 1.1823 - val_categorical_accuracy: 0.5731 - 390ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1014 - categorical_accuracy: 0.6042 - val_loss: 1.0964 - val_categorical_accuracy: 0.6015 - 390ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0712 - categorical_accuracy: 0.6133 - val_loss: 1.0942 - val_categorical_accuracy: 0.6193 - 390ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.1737 - categorical_accuracy: 0.5903 - val_loss: 1.0434 - val_categorical_accuracy: 0.6288 - 400ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0263 - categorical_accuracy: 0.6276 - val_loss: 1.0084 - val_categorical_accuracy: 0.6261 - 410ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0079 - categorical_accuracy: 0.6332 - val_loss: 0.9527 - val_categorical_accuracy: 0.6525 - 440ms/epoch - 9ms/step
Epoch 23/1500
49/49 - 0s - loss: 0.9886 - categorical_accuracy: 0.6409 - val_loss: 0.9957 - val_categorical_accuracy: 0.6374 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9860 - categorical_accuracy: 0.6413 - val_loss: 1.1081 - val_categorical_accuracy: 0.6027 - 390ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9860 - categorical_accuracy: 0.6396 - val_loss: 0.9412 - val_categorical_accuracy: 0.6472 - 390ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9399 - categorical_accuracy: 0.6558 - val_loss: 0.9210 - val_categorical_accuracy: 0.6656 - 390ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 1s - loss: 0.9086 - categorical_accuracy: 0.6661 - val_loss: 0.8896 - val_categorical_accuracy: 0.6735 - 560ms/epoch - 11ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9154 - categorical_accuracy: 0.6626 - val_loss: 0.8669 - val_categorical_accuracy: 0.6875 - 440ms/epoch - 9ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.8912 - categorical_accuracy: 0.6727 - val_loss: 0.8476 - val_categorical_accuracy: 0.6940 - 440ms/epoch - 9ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.9261 - categorical_accuracy: 0.6661 - val_loss: 0.8394 - val_categorical_accuracy: 0.6901 - 390ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8538 - categorical_accuracy: 0.6836 - val_loss: 0.9567 - val_categorical_accuracy: 0.6628 - 390ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8698 - categorical_accuracy: 0.6805 - val_loss: 0.8244 - val_categorical_accuracy: 0.6893 - 390ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8320 - categorical_accuracy: 0.6928 - val_loss: 0.8152 - val_categorical_accuracy: 0.7023 - 390ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 1.0235 - categorical_accuracy: 0.6497 - val_loss: 1.1046 - val_categorical_accuracy: 0.6191 - 384ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8425 - categorical_accuracy: 0.6931 - val_loss: 0.7906 - val_categorical_accuracy: 0.7052 - 420ms/epoch - 9ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.7896 - categorical_accuracy: 0.7064 - val_loss: 0.7767 - val_categorical_accuracy: 0.7149 - 440ms/epoch - 9ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8182 - categorical_accuracy: 0.6950 - val_loss: 0.8422 - val_categorical_accuracy: 0.6846 - 390ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7533 - categorical_accuracy: 0.7194 - val_loss: 0.9129 - val_categorical_accuracy: 0.6614 - 380ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.7726 - categorical_accuracy: 0.7106 - val_loss: 0.8058 - val_categorical_accuracy: 0.7083 - 395ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7795 - categorical_accuracy: 0.7091 - val_loss: 0.7375 - val_categorical_accuracy: 0.7215 - 390ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7481 - categorical_accuracy: 0.7193 - val_loss: 0.7356 - val_categorical_accuracy: 0.7290 - 390ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7662 - categorical_accuracy: 0.7140 - val_loss: 0.7121 - val_categorical_accuracy: 0.7303 - 410ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7385 - categorical_accuracy: 0.7203 - val_loss: 0.8251 - val_categorical_accuracy: 0.6914 - 430ms/epoch - 9ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7151 - categorical_accuracy: 0.7308 - val_loss: 0.7598 - val_categorical_accuracy: 0.7022 - 390ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.9692 - categorical_accuracy: 0.6681 - val_loss: 0.7405 - val_categorical_accuracy: 0.7313 - 390ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7118 - categorical_accuracy: 0.7342 - val_loss: 0.6933 - val_categorical_accuracy: 0.7346 - 390ms/epoch - 8ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7028 - categorical_accuracy: 0.7339 - val_loss: 0.6962 - val_categorical_accuracy: 0.7373 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.6993 - categorical_accuracy: 0.7372 - val_loss: 0.6687 - val_categorical_accuracy: 0.7498 - 410ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.7070 - categorical_accuracy: 0.7318 - val_loss: 0.6679 - val_categorical_accuracy: 0.7498 - 430ms/epoch - 9ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.6947 - categorical_accuracy: 0.7367 - val_loss: 0.6702 - val_categorical_accuracy: 0.7463 - 390ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6812 - categorical_accuracy: 0.7426 - val_loss: 0.6550 - val_categorical_accuracy: 0.7515 - 400ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.7751 - categorical_accuracy: 0.7222 - val_loss: 0.6888 - val_categorical_accuracy: 0.7380 - 400ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6645 - categorical_accuracy: 0.7482 - val_loss: 0.6787 - val_categorical_accuracy: 0.7442 - 390ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6613 - categorical_accuracy: 0.7508 - val_loss: 0.6531 - val_categorical_accuracy: 0.7541 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6640 - categorical_accuracy: 0.7482 - val_loss: 0.7081 - val_categorical_accuracy: 0.7251 - 420ms/epoch - 9ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6418 - categorical_accuracy: 0.7549 - val_loss: 0.6406 - val_categorical_accuracy: 0.7549 - 390ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6566 - categorical_accuracy: 0.7518 - val_loss: 0.6703 - val_categorical_accuracy: 0.7390 - 396ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6993 - categorical_accuracy: 0.7412 - val_loss: 0.6838 - val_categorical_accuracy: 0.7381 - 390ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6434 - categorical_accuracy: 0.7557 - val_loss: 0.6112 - val_categorical_accuracy: 0.7672 - 400ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6253 - categorical_accuracy: 0.7621 - val_loss: 0.6213 - val_categorical_accuracy: 0.7616 - 430ms/epoch - 9ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6541 - categorical_accuracy: 0.7523 - val_loss: 0.6199 - val_categorical_accuracy: 0.7656 - 390ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6175 - categorical_accuracy: 0.7649 - val_loss: 0.8062 - val_categorical_accuracy: 0.7080 - 390ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6238 - categorical_accuracy: 0.7647 - val_loss: 0.6573 - val_categorical_accuracy: 0.7466 - 380ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 1.1221 - categorical_accuracy: 0.6308 - val_loss: 0.7559 - val_categorical_accuracy: 0.7235 - 390ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6843 - categorical_accuracy: 0.7472 - val_loss: 0.6601 - val_categorical_accuracy: 0.7539 - 390ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6125 - categorical_accuracy: 0.7691 - val_loss: 0.6348 - val_categorical_accuracy: 0.7496 - 410ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.6114 - categorical_accuracy: 0.7670 - val_loss: 0.7176 - val_categorical_accuracy: 0.7358 - 440ms/epoch - 9ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.5937 - categorical_accuracy: 0.7736 - val_loss: 0.7448 - val_categorical_accuracy: 0.7302 - 450ms/epoch - 9ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.6252 - categorical_accuracy: 0.7683 - val_loss: 0.6683 - val_categorical_accuracy: 0.7414 - 395ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5914 - categorical_accuracy: 0.7756 - val_loss: 0.6102 - val_categorical_accuracy: 0.7687 - 380ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5782 - categorical_accuracy: 0.7788 - val_loss: 0.6527 - val_categorical_accuracy: 0.7469 - 380ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.6130 - categorical_accuracy: 0.7688 - val_loss: 1.9285 - val_categorical_accuracy: 0.5889 - 380ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.6341 - categorical_accuracy: 0.7673 - val_loss: 0.6000 - val_categorical_accuracy: 0.7721 - 390ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5649 - categorical_accuracy: 0.7854 - val_loss: 0.5924 - val_categorical_accuracy: 0.7741 - 380ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5644 - categorical_accuracy: 0.7839 - val_loss: 0.5806 - val_categorical_accuracy: 0.7780 - 390ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5611 - categorical_accuracy: 0.7860 - val_loss: 0.6055 - val_categorical_accuracy: 0.7613 - 400ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5605 - categorical_accuracy: 0.7868 - val_loss: 0.5595 - val_categorical_accuracy: 0.7859 - 410ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.6475 - categorical_accuracy: 0.7610 - val_loss: 0.5718 - val_categorical_accuracy: 0.7805 - 430ms/epoch - 9ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5410 - categorical_accuracy: 0.7959 - val_loss: 0.5502 - val_categorical_accuracy: 0.7881 - 430ms/epoch - 9ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5428 - categorical_accuracy: 0.7957 - val_loss: 0.5450 - val_categorical_accuracy: 0.7897 - 390ms/epoch - 8ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5668 - categorical_accuracy: 0.7844 - val_loss: 0.5372 - val_categorical_accuracy: 0.7955 - 390ms/epoch - 8ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5445 - categorical_accuracy: 0.7925 - val_loss: 0.5299 - val_categorical_accuracy: 0.7985 - 390ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5404 - categorical_accuracy: 0.7942 - val_loss: 0.5591 - val_categorical_accuracy: 0.7856 - 410ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5461 - categorical_accuracy: 0.7925 - val_loss: 0.6346 - val_categorical_accuracy: 0.7577 - 414ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5370 - categorical_accuracy: 0.7966 - val_loss: 0.6269 - val_categorical_accuracy: 0.7572 - 420ms/epoch - 9ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.6060 - categorical_accuracy: 0.7800 - val_loss: 0.5378 - val_categorical_accuracy: 0.7969 - 390ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5143 - categorical_accuracy: 0.8045 - val_loss: 0.5511 - val_categorical_accuracy: 0.7915 - 390ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5493 - categorical_accuracy: 0.7926 - val_loss: 0.5269 - val_categorical_accuracy: 0.8030 - 390ms/epoch - 8ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.6820 - categorical_accuracy: 0.7612 - val_loss: 0.5425 - val_categorical_accuracy: 0.7953 - 385ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5125 - categorical_accuracy: 0.8065 - val_loss: 0.5804 - val_categorical_accuracy: 0.7766 - 380ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5071 - categorical_accuracy: 0.8082 - val_loss: 0.5681 - val_categorical_accuracy: 0.7883 - 400ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5840 - categorical_accuracy: 0.7883 - val_loss: 0.5796 - val_categorical_accuracy: 0.7803 - 400ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.5051 - categorical_accuracy: 0.8112 - val_loss: 0.5283 - val_categorical_accuracy: 0.7994 - 430ms/epoch - 9ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4998 - categorical_accuracy: 0.8118 - val_loss: 0.5637 - val_categorical_accuracy: 0.7788 - 390ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.5039 - categorical_accuracy: 0.8100 - val_loss: 0.5028 - val_categorical_accuracy: 0.8061 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.4863 - categorical_accuracy: 0.8179 - val_loss: 0.5425 - val_categorical_accuracy: 0.7890 - 390ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.5074 - categorical_accuracy: 0.8104 - val_loss: 0.6003 - val_categorical_accuracy: 0.7614 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4999 - categorical_accuracy: 0.8113 - val_loss: 0.4992 - val_categorical_accuracy: 0.8119 - 410ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4812 - categorical_accuracy: 0.8205 - val_loss: 0.5876 - val_categorical_accuracy: 0.7819 - 440ms/epoch - 9ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4905 - categorical_accuracy: 0.8164 - val_loss: 0.5817 - val_categorical_accuracy: 0.7645 - 400ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.5410 - categorical_accuracy: 0.8005 - val_loss: 0.5000 - val_categorical_accuracy: 0.8119 - 390ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4640 - categorical_accuracy: 0.8269 - val_loss: 0.5733 - val_categorical_accuracy: 0.7992 - 390ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4902 - categorical_accuracy: 0.8157 - val_loss: 0.5676 - val_categorical_accuracy: 0.7905 - 390ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4617 - categorical_accuracy: 0.8267 - val_loss: 0.4860 - val_categorical_accuracy: 0.8153 - 385ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4911 - categorical_accuracy: 0.8152 - val_loss: 0.5379 - val_categorical_accuracy: 0.8016 - 390ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4687 - categorical_accuracy: 0.8246 - val_loss: 0.5291 - val_categorical_accuracy: 0.8019 - 410ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4737 - categorical_accuracy: 0.8211 - val_loss: 0.4894 - val_categorical_accuracy: 0.8131 - 440ms/epoch - 9ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4662 - categorical_accuracy: 0.8255 - val_loss: 0.5504 - val_categorical_accuracy: 0.7940 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4893 - categorical_accuracy: 0.8174 - val_loss: 0.4688 - val_categorical_accuracy: 0.8263 - 395ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.5168 - categorical_accuracy: 0.8127 - val_loss: 0.4879 - val_categorical_accuracy: 0.8187 - 390ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4469 - categorical_accuracy: 0.8331 - val_loss: 0.4959 - val_categorical_accuracy: 0.8133 - 390ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4493 - categorical_accuracy: 0.8303 - val_loss: 0.4928 - val_categorical_accuracy: 0.8111 - 420ms/epoch - 9ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4604 - categorical_accuracy: 0.8284 - val_loss: 0.4630 - val_categorical_accuracy: 0.8279 - 390ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4523 - categorical_accuracy: 0.8318 - val_loss: 0.7366 - val_categorical_accuracy: 0.7315 - 394ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.6452 - categorical_accuracy: 0.7864 - val_loss: 0.5297 - val_categorical_accuracy: 0.8088 - 400ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4419 - categorical_accuracy: 0.8346 - val_loss: 0.5122 - val_categorical_accuracy: 0.8019 - 400ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4476 - categorical_accuracy: 0.8318 - val_loss: 0.5821 - val_categorical_accuracy: 0.7865 - 410ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4332 - categorical_accuracy: 0.8386 - val_loss: 0.4702 - val_categorical_accuracy: 0.8263 - 390ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.5039 - categorical_accuracy: 0.8231 - val_loss: 0.5485 - val_categorical_accuracy: 0.7901 - 394ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4351 - categorical_accuracy: 0.8361 - val_loss: 0.4406 - val_categorical_accuracy: 0.8370 - 390ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4346 - categorical_accuracy: 0.8380 - val_loss: 0.5546 - val_categorical_accuracy: 0.7832 - 400ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4297 - categorical_accuracy: 0.8384 - val_loss: 0.5605 - val_categorical_accuracy: 0.7787 - 420ms/epoch - 9ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4374 - categorical_accuracy: 0.8366 - val_loss: 0.5196 - val_categorical_accuracy: 0.8043 - 440ms/epoch - 9ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4218 - categorical_accuracy: 0.8429 - val_loss: 0.5161 - val_categorical_accuracy: 0.7997 - 390ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4418 - categorical_accuracy: 0.8369 - val_loss: 0.4426 - val_categorical_accuracy: 0.8349 - 385ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4161 - categorical_accuracy: 0.8450 - val_loss: 0.4725 - val_categorical_accuracy: 0.8269 - 380ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4301 - categorical_accuracy: 0.8388 - val_loss: 0.5760 - val_categorical_accuracy: 0.8012 - 388ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.5353 - categorical_accuracy: 0.8149 - val_loss: 0.4485 - val_categorical_accuracy: 0.8325 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.3984 - categorical_accuracy: 0.8532 - val_loss: 0.4498 - val_categorical_accuracy: 0.8336 - 380ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4105 - categorical_accuracy: 0.8470 - val_loss: 0.5811 - val_categorical_accuracy: 0.7929 - 410ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4198 - categorical_accuracy: 0.8441 - val_loss: 0.4586 - val_categorical_accuracy: 0.8291 - 444ms/epoch - 9ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4087 - categorical_accuracy: 0.8485 - val_loss: 0.4377 - val_categorical_accuracy: 0.8360 - 394ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4154 - categorical_accuracy: 0.8459 - val_loss: 0.4947 - val_categorical_accuracy: 0.8096 - 390ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4426 - categorical_accuracy: 0.8409 - val_loss: 0.4401 - val_categorical_accuracy: 0.8386 - 385ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3949 - categorical_accuracy: 0.8526 - val_loss: 0.5124 - val_categorical_accuracy: 0.8107 - 390ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.4032 - categorical_accuracy: 0.8496 - val_loss: 0.4465 - val_categorical_accuracy: 0.8331 - 410ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.3981 - categorical_accuracy: 0.8517 - val_loss: 0.4671 - val_categorical_accuracy: 0.8229 - 430ms/epoch - 9ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.4050 - categorical_accuracy: 0.8501 - val_loss: 0.4416 - val_categorical_accuracy: 0.8360 - 390ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.3937 - categorical_accuracy: 0.8530 - val_loss: 0.4221 - val_categorical_accuracy: 0.8464 - 405ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4185 - categorical_accuracy: 0.8474 - val_loss: 3.2644 - val_categorical_accuracy: 0.4263 - 390ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.8811 - categorical_accuracy: 0.7270 - val_loss: 0.4733 - val_categorical_accuracy: 0.8223 - 390ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3843 - categorical_accuracy: 0.8605 - val_loss: 0.4249 - val_categorical_accuracy: 0.8410 - 410ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3933 - categorical_accuracy: 0.8542 - val_loss: 0.5641 - val_categorical_accuracy: 0.7838 - 390ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3795 - categorical_accuracy: 0.8599 - val_loss: 0.4133 - val_categorical_accuracy: 0.8459 - 394ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3874 - categorical_accuracy: 0.8568 - val_loss: 0.4220 - val_categorical_accuracy: 0.8435 - 390ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3929 - categorical_accuracy: 0.8566 - val_loss: 0.4634 - val_categorical_accuracy: 0.8244 - 390ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3634 - categorical_accuracy: 0.8675 - val_loss: 0.4026 - val_categorical_accuracy: 0.8508 - 420ms/epoch - 9ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3845 - categorical_accuracy: 0.8578 - val_loss: 0.4590 - val_categorical_accuracy: 0.8304 - 430ms/epoch - 9ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3685 - categorical_accuracy: 0.8621 - val_loss: 0.4361 - val_categorical_accuracy: 0.8396 - 390ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.4134 - categorical_accuracy: 0.8515 - val_loss: 0.4372 - val_categorical_accuracy: 0.8371 - 390ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3821 - categorical_accuracy: 0.8587 - val_loss: 0.4247 - val_categorical_accuracy: 0.8437 - 390ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3766 - categorical_accuracy: 0.8615 - val_loss: 0.4798 - val_categorical_accuracy: 0.8218 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3821 - categorical_accuracy: 0.8581 - val_loss: 0.5930 - val_categorical_accuracy: 0.7863 - 410ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3528 - categorical_accuracy: 0.8695 - val_loss: 0.4503 - val_categorical_accuracy: 0.8385 - 430ms/epoch - 9ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3718 - categorical_accuracy: 0.8618 - val_loss: 0.5082 - val_categorical_accuracy: 0.8039 - 390ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.4028 - categorical_accuracy: 0.8550 - val_loss: 0.3948 - val_categorical_accuracy: 0.8590 - 390ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3562 - categorical_accuracy: 0.8680 - val_loss: 0.4209 - val_categorical_accuracy: 0.8489 - 390ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3951 - categorical_accuracy: 0.8571 - val_loss: 0.5655 - val_categorical_accuracy: 0.8036 - 390ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3541 - categorical_accuracy: 0.8705 - val_loss: 0.4103 - val_categorical_accuracy: 0.8502 - 410ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3478 - categorical_accuracy: 0.8720 - val_loss: 0.4665 - val_categorical_accuracy: 0.8173 - 430ms/epoch - 9ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3526 - categorical_accuracy: 0.8699 - val_loss: 0.3788 - val_categorical_accuracy: 0.8607 - 390ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3436 - categorical_accuracy: 0.8732 - val_loss: 0.5811 - val_categorical_accuracy: 0.7982 - 390ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.8691 - val_loss: 0.4288 - val_categorical_accuracy: 0.8462 - 390ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3795 - categorical_accuracy: 0.8632 - val_loss: 0.4479 - val_categorical_accuracy: 0.8418 - 395ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3437 - categorical_accuracy: 0.8726 - val_loss: 0.4683 - val_categorical_accuracy: 0.8169 - 410ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3305 - categorical_accuracy: 0.8802 - val_loss: 0.4796 - val_categorical_accuracy: 0.8234 - 430ms/epoch - 9ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.4142 - categorical_accuracy: 0.8584 - val_loss: 0.4099 - val_categorical_accuracy: 0.8492 - 400ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3466 - categorical_accuracy: 0.8719 - val_loss: 0.4211 - val_categorical_accuracy: 0.8494 - 390ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3441 - categorical_accuracy: 0.8723 - val_loss: 0.4384 - val_categorical_accuracy: 0.8415 - 384ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3451 - categorical_accuracy: 0.8740 - val_loss: 0.4138 - val_categorical_accuracy: 0.8476 - 400ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3538 - categorical_accuracy: 0.8701 - val_loss: 0.5816 - val_categorical_accuracy: 0.7873 - 390ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3296 - categorical_accuracy: 0.8793 - val_loss: 0.4486 - val_categorical_accuracy: 0.8314 - 380ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3286 - categorical_accuracy: 0.8777 - val_loss: 0.4454 - val_categorical_accuracy: 0.8394 - 400ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3700 - categorical_accuracy: 0.8669 - val_loss: 0.4454 - val_categorical_accuracy: 0.8421 - 440ms/epoch - 9ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3279 - categorical_accuracy: 0.8799 - val_loss: 0.4210 - val_categorical_accuracy: 0.8507 - 430ms/epoch - 9ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3296 - categorical_accuracy: 0.8798 - val_loss: 0.4014 - val_categorical_accuracy: 0.8528 - 390ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3313 - categorical_accuracy: 0.8786 - val_loss: 0.4105 - val_categorical_accuracy: 0.8492 - 390ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3336 - categorical_accuracy: 0.8767 - val_loss: 0.5901 - val_categorical_accuracy: 0.7947 - 390ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3395 - categorical_accuracy: 0.8763 - val_loss: 0.3817 - val_categorical_accuracy: 0.8606 - 394ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3207 - categorical_accuracy: 0.8821 - val_loss: 0.3766 - val_categorical_accuracy: 0.8632 - 390ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3341 - categorical_accuracy: 0.8751 - val_loss: 0.4378 - val_categorical_accuracy: 0.8442 - 390ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.4855 - categorical_accuracy: 0.8463 - val_loss: 1.1376 - val_categorical_accuracy: 0.5707 - 420ms/epoch - 9ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3462 - categorical_accuracy: 0.8777 - val_loss: 0.4618 - val_categorical_accuracy: 0.8248 - 390ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3212 - categorical_accuracy: 0.8824 - val_loss: 0.3850 - val_categorical_accuracy: 0.8621 - 394ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3100 - categorical_accuracy: 0.8863 - val_loss: 0.4156 - val_categorical_accuracy: 0.8516 - 390ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3094 - categorical_accuracy: 0.8867 - val_loss: 0.4024 - val_categorical_accuracy: 0.8543 - 400ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3187 - categorical_accuracy: 0.8829 - val_loss: 0.4825 - val_categorical_accuracy: 0.8203 - 420ms/epoch - 9ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3122 - categorical_accuracy: 0.8856 - val_loss: 0.4615 - val_categorical_accuracy: 0.8348 - 430ms/epoch - 9ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3737 - categorical_accuracy: 0.8689 - val_loss: 0.3867 - val_categorical_accuracy: 0.8587 - 380ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3086 - categorical_accuracy: 0.8860 - val_loss: 0.4251 - val_categorical_accuracy: 0.8463 - 390ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3097 - categorical_accuracy: 0.8865 - val_loss: 0.4049 - val_categorical_accuracy: 0.8545 - 390ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3326 - categorical_accuracy: 0.8815 - val_loss: 0.3714 - val_categorical_accuracy: 0.8659 - 390ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3013 - categorical_accuracy: 0.8911 - val_loss: 0.4654 - val_categorical_accuracy: 0.8413 - 390ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3013 - categorical_accuracy: 0.8909 - val_loss: 0.4081 - val_categorical_accuracy: 0.8519 - 430ms/epoch - 9ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.2977 - categorical_accuracy: 0.8935 - val_loss: 0.3910 - val_categorical_accuracy: 0.8603 - 440ms/epoch - 9ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.4126 - categorical_accuracy: 0.8608 - val_loss: 0.4065 - val_categorical_accuracy: 0.8503 - 390ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.2917 - categorical_accuracy: 0.8936 - val_loss: 0.3797 - val_categorical_accuracy: 0.8628 - 390ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.3126 - categorical_accuracy: 0.8848 - val_loss: 0.3527 - val_categorical_accuracy: 0.8746 - 390ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2946 - categorical_accuracy: 0.8926 - val_loss: 0.3805 - val_categorical_accuracy: 0.8655 - 390ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.2934 - categorical_accuracy: 0.8920 - val_loss: 0.5491 - val_categorical_accuracy: 0.8135 - 390ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3136 - categorical_accuracy: 0.8870 - val_loss: 0.3912 - val_categorical_accuracy: 0.8603 - 410ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.2851 - categorical_accuracy: 0.8962 - val_loss: 0.4040 - val_categorical_accuracy: 0.8580 - 400ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.3382 - categorical_accuracy: 0.8802 - val_loss: 0.3764 - val_categorical_accuracy: 0.8681 - 400ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2905 - categorical_accuracy: 0.8940 - val_loss: 0.4300 - val_categorical_accuracy: 0.8503 - 384ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.2957 - categorical_accuracy: 0.8917 - val_loss: 0.3783 - val_categorical_accuracy: 0.8645 - 390ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2803 - categorical_accuracy: 0.8985 - val_loss: 0.3923 - val_categorical_accuracy: 0.8599 - 420ms/epoch - 9ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3068 - categorical_accuracy: 0.8877 - val_loss: 0.4077 - val_categorical_accuracy: 0.8571 - 434ms/epoch - 9ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2866 - categorical_accuracy: 0.8956 - val_loss: 0.4238 - val_categorical_accuracy: 0.8546 - 390ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.2858 - categorical_accuracy: 0.8942 - val_loss: 0.4203 - val_categorical_accuracy: 0.8508 - 394ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2815 - categorical_accuracy: 0.8980 - val_loss: 0.3885 - val_categorical_accuracy: 0.8630 - 400ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2835 - categorical_accuracy: 0.8973 - val_loss: 0.3657 - val_categorical_accuracy: 0.8701 - 400ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2836 - categorical_accuracy: 0.8985 - val_loss: 0.3917 - val_categorical_accuracy: 0.8600 - 390ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.5155 - categorical_accuracy: 0.8432 - val_loss: 0.3628 - val_categorical_accuracy: 0.8692 - 380ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.2661 - categorical_accuracy: 0.9056 - val_loss: 0.3896 - val_categorical_accuracy: 0.8602 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2676 - categorical_accuracy: 0.9037 - val_loss: 0.3942 - val_categorical_accuracy: 0.8617 - 410ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2866 - categorical_accuracy: 0.8957 - val_loss: 0.4374 - val_categorical_accuracy: 0.8406 - 430ms/epoch - 9ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2704 - categorical_accuracy: 0.9011 - val_loss: 0.4148 - val_categorical_accuracy: 0.8523 - 390ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2710 - categorical_accuracy: 0.9017 - val_loss: 0.3835 - val_categorical_accuracy: 0.8649 - 400ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2729 - categorical_accuracy: 0.9004 - val_loss: 0.3795 - val_categorical_accuracy: 0.8640 - 400ms/epoch - 8ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2845 - categorical_accuracy: 0.8966 - val_loss: 0.4501 - val_categorical_accuracy: 0.8395 - 390ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2753 - categorical_accuracy: 0.8988 - val_loss: 0.4624 - val_categorical_accuracy: 0.8321 - 390ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2619 - categorical_accuracy: 0.9054 - val_loss: 0.5552 - val_categorical_accuracy: 0.8082 - 410ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.3349 - categorical_accuracy: 0.8856 - val_loss: 1.2680 - val_categorical_accuracy: 0.6596 - 390ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.3357 - categorical_accuracy: 0.8853 - val_loss: 0.4043 - val_categorical_accuracy: 0.8581 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2570 - categorical_accuracy: 0.9064 - val_loss: 0.3816 - val_categorical_accuracy: 0.8691 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2698 - categorical_accuracy: 0.9040 - val_loss: 0.3933 - val_categorical_accuracy: 0.8622 - 400ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.3436 - categorical_accuracy: 0.8848 - val_loss: 0.3594 - val_categorical_accuracy: 0.8756 - 420ms/epoch - 9ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2568 - categorical_accuracy: 0.9078 - val_loss: 0.4476 - val_categorical_accuracy: 0.8458 - 430ms/epoch - 9ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2712 - categorical_accuracy: 0.9022 - val_loss: 0.3915 - val_categorical_accuracy: 0.8623 - 385ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2610 - categorical_accuracy: 0.9056 - val_loss: 0.3376 - val_categorical_accuracy: 0.8802 - 390ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2696 - categorical_accuracy: 0.9033 - val_loss: 0.3646 - val_categorical_accuracy: 0.8757 - 390ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2654 - categorical_accuracy: 0.9027 - val_loss: 0.4244 - val_categorical_accuracy: 0.8482 - 390ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2670 - categorical_accuracy: 0.9036 - val_loss: 0.3543 - val_categorical_accuracy: 0.8737 - 420ms/epoch - 9ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9143 - val_loss: 0.4513 - val_categorical_accuracy: 0.8490 - 444ms/epoch - 9ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2668 - categorical_accuracy: 0.9022 - val_loss: 0.4108 - val_categorical_accuracy: 0.8531 - 400ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2642 - categorical_accuracy: 0.9052 - val_loss: 0.3854 - val_categorical_accuracy: 0.8682 - 390ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2584 - categorical_accuracy: 0.9056 - val_loss: 0.3778 - val_categorical_accuracy: 0.8675 - 390ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2632 - categorical_accuracy: 0.9053 - val_loss: 0.3530 - val_categorical_accuracy: 0.8777 - 390ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2515 - categorical_accuracy: 0.9110 - val_loss: 0.3630 - val_categorical_accuracy: 0.8752 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2631 - categorical_accuracy: 0.9047 - val_loss: 0.4389 - val_categorical_accuracy: 0.8505 - 390ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2616 - categorical_accuracy: 0.9047 - val_loss: 0.4148 - val_categorical_accuracy: 0.8580 - 390ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2508 - categorical_accuracy: 0.9094 - val_loss: 0.7540 - val_categorical_accuracy: 0.7661 - 440ms/epoch - 9ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.3229 - categorical_accuracy: 0.8924 - val_loss: 0.4553 - val_categorical_accuracy: 0.8398 - 400ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2644 - categorical_accuracy: 0.9043 - val_loss: 0.3611 - val_categorical_accuracy: 0.8759 - 384ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2392 - categorical_accuracy: 0.9127 - val_loss: 0.3457 - val_categorical_accuracy: 0.8816 - 390ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2557 - categorical_accuracy: 0.9064 - val_loss: 0.4846 - val_categorical_accuracy: 0.8374 - 390ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.3254 - categorical_accuracy: 0.8890 - val_loss: 0.3665 - val_categorical_accuracy: 0.8719 - 390ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2265 - categorical_accuracy: 0.9190 - val_loss: 0.3586 - val_categorical_accuracy: 0.8730 - 410ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2483 - categorical_accuracy: 0.9106 - val_loss: 0.3437 - val_categorical_accuracy: 0.8841 - 430ms/epoch - 9ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2580 - categorical_accuracy: 0.9099 - val_loss: 0.3528 - val_categorical_accuracy: 0.8760 - 410ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2474 - categorical_accuracy: 0.9103 - val_loss: 0.4269 - val_categorical_accuracy: 0.8557 - 390ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2245 - categorical_accuracy: 0.9201 - val_loss: 0.3667 - val_categorical_accuracy: 0.8726 - 390ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.3604 - categorical_accuracy: 0.8822 - val_loss: 0.3605 - val_categorical_accuracy: 0.8727 - 380ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2352 - categorical_accuracy: 0.9157 - val_loss: 0.3402 - val_categorical_accuracy: 0.8829 - 380ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2402 - categorical_accuracy: 0.9128 - val_loss: 0.3532 - val_categorical_accuracy: 0.8779 - 380ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2270 - categorical_accuracy: 0.9185 - val_loss: 0.3970 - val_categorical_accuracy: 0.8609 - 390ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2547 - categorical_accuracy: 0.9083 - val_loss: 0.4657 - val_categorical_accuracy: 0.8497 - 430ms/epoch - 9ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2446 - categorical_accuracy: 0.9112 - val_loss: 0.3795 - val_categorical_accuracy: 0.8687 - 430ms/epoch - 9ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2517 - categorical_accuracy: 0.9095 - val_loss: 0.3655 - val_categorical_accuracy: 0.8771 - 390ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2237 - categorical_accuracy: 0.9205 - val_loss: 0.5617 - val_categorical_accuracy: 0.8313 - 390ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.4820 - categorical_accuracy: 0.8605 - val_loss: 0.3534 - val_categorical_accuracy: 0.8740 - 390ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2308 - categorical_accuracy: 0.9183 - val_loss: 0.3415 - val_categorical_accuracy: 0.8802 - 390ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2341 - categorical_accuracy: 0.9154 - val_loss: 0.4667 - val_categorical_accuracy: 0.8314 - 410ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2147 - categorical_accuracy: 0.9239 - val_loss: 0.4123 - val_categorical_accuracy: 0.8566 - 434ms/epoch - 9ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2822 - categorical_accuracy: 0.9005 - val_loss: 0.3410 - val_categorical_accuracy: 0.8833 - 430ms/epoch - 9ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2359 - categorical_accuracy: 0.9163 - val_loss: 0.4865 - val_categorical_accuracy: 0.8455 - 400ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2123 - categorical_accuracy: 0.9241 - val_loss: 0.3368 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2355 - categorical_accuracy: 0.9139 - val_loss: 0.3518 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2026 - categorical_accuracy: 0.9290 - val_loss: 0.6086 - val_categorical_accuracy: 0.7984 - 385ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2856 - categorical_accuracy: 0.9026 - val_loss: 0.4243 - val_categorical_accuracy: 0.8610 - 390ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2309 - categorical_accuracy: 0.9162 - val_loss: 0.3820 - val_categorical_accuracy: 0.8691 - 390ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2348 - categorical_accuracy: 0.9150 - val_loss: 0.3742 - val_categorical_accuracy: 0.8755 - 410ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2189 - categorical_accuracy: 0.9213 - val_loss: 0.5224 - val_categorical_accuracy: 0.8259 - 430ms/epoch - 9ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2400 - categorical_accuracy: 0.9137 - val_loss: 0.5483 - val_categorical_accuracy: 0.8161 - 404ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2337 - categorical_accuracy: 0.9160 - val_loss: 0.3679 - val_categorical_accuracy: 0.8726 - 390ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2156 - categorical_accuracy: 0.9234 - val_loss: 0.3575 - val_categorical_accuracy: 0.8786 - 390ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2325 - categorical_accuracy: 0.9148 - val_loss: 0.3755 - val_categorical_accuracy: 0.8767 - 390ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 1s - loss: 0.2172 - categorical_accuracy: 0.9216 - val_loss: 0.3668 - val_categorical_accuracy: 0.8778 - 581ms/epoch - 12ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9213 - val_loss: 0.3570 - val_categorical_accuracy: 0.8777 - 390ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2288 - categorical_accuracy: 0.9167 - val_loss: 0.3702 - val_categorical_accuracy: 0.8738 - 390ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2373 - categorical_accuracy: 0.9154 - val_loss: 0.3482 - val_categorical_accuracy: 0.8853 - 395ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2155 - categorical_accuracy: 0.9232 - val_loss: 0.4449 - val_categorical_accuracy: 0.8537 - 395ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2405 - categorical_accuracy: 0.9149 - val_loss: 0.3865 - val_categorical_accuracy: 0.8738 - 434ms/epoch - 9ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2174 - categorical_accuracy: 0.9222 - val_loss: 0.4019 - val_categorical_accuracy: 0.8619 - 436ms/epoch - 9ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2282 - categorical_accuracy: 0.9178 - val_loss: 0.3523 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2143 - categorical_accuracy: 0.9235 - val_loss: 0.5981 - val_categorical_accuracy: 0.7964 - 390ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2635 - categorical_accuracy: 0.9080 - val_loss: 0.3714 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2237 - categorical_accuracy: 0.9201 - val_loss: 0.3420 - val_categorical_accuracy: 0.8839 - 384ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2090 - categorical_accuracy: 0.9242 - val_loss: 0.4960 - val_categorical_accuracy: 0.8326 - 416ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9267 - val_loss: 0.3680 - val_categorical_accuracy: 0.8777 - 440ms/epoch - 9ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2373 - categorical_accuracy: 0.9163 - val_loss: 0.3768 - val_categorical_accuracy: 0.8766 - 390ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2175 - categorical_accuracy: 0.9219 - val_loss: 0.3561 - val_categorical_accuracy: 0.8822 - 390ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2143 - categorical_accuracy: 0.9246 - val_loss: 0.4026 - val_categorical_accuracy: 0.8702 - 384ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2250 - categorical_accuracy: 0.9180 - val_loss: 0.4269 - val_categorical_accuracy: 0.8567 - 386ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.1889 - categorical_accuracy: 0.9329 - val_loss: 0.3987 - val_categorical_accuracy: 0.8691 - 390ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2127 - categorical_accuracy: 0.9226 - val_loss: 0.4171 - val_categorical_accuracy: 0.8591 - 410ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2177 - categorical_accuracy: 0.9219 - val_loss: 0.3706 - val_categorical_accuracy: 0.8781 - 450ms/epoch - 9ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.2009 - categorical_accuracy: 0.9279 - val_loss: 0.4457 - val_categorical_accuracy: 0.8518 - 390ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2715 - categorical_accuracy: 0.9089 - val_loss: 0.3460 - val_categorical_accuracy: 0.8849 - 390ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2114 - categorical_accuracy: 0.9239 - val_loss: 0.3604 - val_categorical_accuracy: 0.8767 - 390ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2234 - categorical_accuracy: 0.9208 - val_loss: 0.3728 - val_categorical_accuracy: 0.8785 - 390ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.1964 - categorical_accuracy: 0.9294 - val_loss: 0.4300 - val_categorical_accuracy: 0.8599 - 390ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2191 - categorical_accuracy: 0.9207 - val_loss: 0.4190 - val_categorical_accuracy: 0.8608 - 414ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9222 - val_loss: 0.4401 - val_categorical_accuracy: 0.8525 - 426ms/epoch - 9ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9261 - val_loss: 0.3972 - val_categorical_accuracy: 0.8708 - 400ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9241 - val_loss: 0.3331 - val_categorical_accuracy: 0.8903 - 400ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.1858 - categorical_accuracy: 0.9348 - val_loss: 0.3331 - val_categorical_accuracy: 0.8875 - 390ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.1844 - categorical_accuracy: 0.9353 - val_loss: 0.5121 - val_categorical_accuracy: 0.8442 - 384ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2012 - categorical_accuracy: 0.9297 - val_loss: 0.4463 - val_categorical_accuracy: 0.8516 - 396ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2559 - categorical_accuracy: 0.9110 - val_loss: 0.3390 - val_categorical_accuracy: 0.8886 - 430ms/epoch - 9ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.1910 - categorical_accuracy: 0.9322 - val_loss: 0.3295 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2026 - categorical_accuracy: 0.9268 - val_loss: 0.3719 - val_categorical_accuracy: 0.8777 - 390ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9267 - val_loss: 0.3360 - val_categorical_accuracy: 0.8886 - 410ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.1839 - categorical_accuracy: 0.9349 - val_loss: 0.3312 - val_categorical_accuracy: 0.8919 - 380ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2144 - categorical_accuracy: 0.9248 - val_loss: 1.9140 - val_categorical_accuracy: 0.5714 - 390ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.4317 - categorical_accuracy: 0.8763 - val_loss: 0.3465 - val_categorical_accuracy: 0.8855 - 410ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9403 - val_loss: 0.3664 - val_categorical_accuracy: 0.8777 - 430ms/epoch - 9ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.1917 - categorical_accuracy: 0.9315 - val_loss: 0.5013 - val_categorical_accuracy: 0.8346 - 390ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.2157 - categorical_accuracy: 0.9246 - val_loss: 0.3460 - val_categorical_accuracy: 0.8862 - 390ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9312 - val_loss: 0.3813 - val_categorical_accuracy: 0.8711 - 390ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9360 - val_loss: 0.3448 - val_categorical_accuracy: 0.8841 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9165 - val_loss: 0.3547 - val_categorical_accuracy: 0.8820 - 410ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.1905 - categorical_accuracy: 0.9317 - val_loss: 0.6571 - val_categorical_accuracy: 0.8151 - 430ms/epoch - 9ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1848 - categorical_accuracy: 0.9361 - val_loss: 0.3372 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.2077 - categorical_accuracy: 0.9265 - val_loss: 0.3561 - val_categorical_accuracy: 0.8836 - 390ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2078 - categorical_accuracy: 0.9258 - val_loss: 0.3623 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1988 - categorical_accuracy: 0.9282 - val_loss: 0.3889 - val_categorical_accuracy: 0.8709 - 390ms/epoch - 8ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1881 - categorical_accuracy: 0.9335 - val_loss: 0.4468 - val_categorical_accuracy: 0.8635 - 414ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2036 - categorical_accuracy: 0.9286 - val_loss: 0.3309 - val_categorical_accuracy: 0.8933 - 396ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9339 - val_loss: 0.3213 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2461 - categorical_accuracy: 0.9185 - val_loss: 1.3038 - val_categorical_accuracy: 0.6827 - 390ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.2733 - categorical_accuracy: 0.9135 - val_loss: 0.3282 - val_categorical_accuracy: 0.8915 - 390ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1681 - categorical_accuracy: 0.9414 - val_loss: 0.3360 - val_categorical_accuracy: 0.8893 - 404ms/epoch - 8ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.2265 - categorical_accuracy: 0.9185 - val_loss: 0.3722 - val_categorical_accuracy: 0.8746 - 436ms/epoch - 9ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9398 - val_loss: 0.4604 - val_categorical_accuracy: 0.8595 - 430ms/epoch - 9ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9271 - val_loss: 0.4097 - val_categorical_accuracy: 0.8635 - 390ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1795 - categorical_accuracy: 0.9364 - val_loss: 0.3516 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1846 - categorical_accuracy: 0.9337 - val_loss: 0.3430 - val_categorical_accuracy: 0.8912 - 390ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1848 - categorical_accuracy: 0.9341 - val_loss: 0.3510 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1643 - categorical_accuracy: 0.9422 - val_loss: 0.8046 - val_categorical_accuracy: 0.7772 - 390ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.2389 - categorical_accuracy: 0.9232 - val_loss: 0.5150 - val_categorical_accuracy: 0.8356 - 420ms/epoch - 9ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.1758 - categorical_accuracy: 0.9389 - val_loss: 0.3401 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9296 - val_loss: 0.3592 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.1834 - categorical_accuracy: 0.9346 - val_loss: 0.4617 - val_categorical_accuracy: 0.8549 - 400ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1881 - categorical_accuracy: 0.9326 - val_loss: 0.3417 - val_categorical_accuracy: 0.8869 - 390ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9349 - val_loss: 0.3755 - val_categorical_accuracy: 0.8759 - 410ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1898 - categorical_accuracy: 0.9331 - val_loss: 0.3607 - val_categorical_accuracy: 0.8836 - 440ms/epoch - 9ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1806 - categorical_accuracy: 0.9358 - val_loss: 0.5115 - val_categorical_accuracy: 0.8474 - 390ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.3347 - categorical_accuracy: 0.8956 - val_loss: 0.3347 - val_categorical_accuracy: 0.8912 - 390ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1672 - categorical_accuracy: 0.9418 - val_loss: 0.3457 - val_categorical_accuracy: 0.8885 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9457 - val_loss: 0.5039 - val_categorical_accuracy: 0.8393 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1929 - categorical_accuracy: 0.9326 - val_loss: 0.3582 - val_categorical_accuracy: 0.8825 - 400ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1882 - categorical_accuracy: 0.9335 - val_loss: 0.5858 - val_categorical_accuracy: 0.8228 - 410ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1755 - categorical_accuracy: 0.9389 - val_loss: 0.3322 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.2032 - categorical_accuracy: 0.9275 - val_loss: 0.3313 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1542 - categorical_accuracy: 0.9458 - val_loss: 0.4922 - val_categorical_accuracy: 0.8490 - 400ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9413 - val_loss: 0.5315 - val_categorical_accuracy: 0.8377 - 394ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1810 - categorical_accuracy: 0.9378 - val_loss: 0.3532 - val_categorical_accuracy: 0.8919 - 410ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.2073 - categorical_accuracy: 0.9275 - val_loss: 0.3596 - val_categorical_accuracy: 0.8838 - 440ms/epoch - 9ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1627 - categorical_accuracy: 0.9423 - val_loss: 0.8517 - val_categorical_accuracy: 0.7693 - 390ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.5078 - categorical_accuracy: 0.8618 - val_loss: 0.3492 - val_categorical_accuracy: 0.8846 - 390ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1616 - categorical_accuracy: 0.9444 - val_loss: 0.3446 - val_categorical_accuracy: 0.8913 - 400ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1516 - categorical_accuracy: 0.9474 - val_loss: 0.3839 - val_categorical_accuracy: 0.8797 - 390ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1833 - categorical_accuracy: 0.9362 - val_loss: 0.3256 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9417 - val_loss: 0.8120 - val_categorical_accuracy: 0.7721 - 410ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.1728 - categorical_accuracy: 0.9416 - val_loss: 0.4192 - val_categorical_accuracy: 0.8666 - 430ms/epoch - 9ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.2048 - categorical_accuracy: 0.9309 - val_loss: 0.3371 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9369 - val_loss: 0.3442 - val_categorical_accuracy: 0.8891 - 390ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1559 - categorical_accuracy: 0.9450 - val_loss: 0.4768 - val_categorical_accuracy: 0.8509 - 390ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1984 - categorical_accuracy: 0.9302 - val_loss: 0.3547 - val_categorical_accuracy: 0.8895 - 390ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9472 - val_loss: 0.3737 - val_categorical_accuracy: 0.8848 - 390ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.2719 - categorical_accuracy: 0.9107 - val_loss: 0.3365 - val_categorical_accuracy: 0.8917 - 410ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1417 - categorical_accuracy: 0.9521 - val_loss: 0.3698 - val_categorical_accuracy: 0.8835 - 430ms/epoch - 9ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1909 - categorical_accuracy: 0.9340 - val_loss: 0.3574 - val_categorical_accuracy: 0.8877 - 390ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9480 - val_loss: 0.3887 - val_categorical_accuracy: 0.8781 - 380ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1473 - categorical_accuracy: 0.9487 - val_loss: 0.3745 - val_categorical_accuracy: 0.8824 - 390ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9319 - val_loss: 0.3533 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1887 - categorical_accuracy: 0.9354 - val_loss: 0.3453 - val_categorical_accuracy: 0.8888 - 410ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1826 - categorical_accuracy: 0.9373 - val_loss: 0.3642 - val_categorical_accuracy: 0.8858 - 430ms/epoch - 9ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9479 - val_loss: 0.3823 - val_categorical_accuracy: 0.8836 - 390ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1711 - categorical_accuracy: 0.9392 - val_loss: 0.3976 - val_categorical_accuracy: 0.8777 - 390ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.2043 - categorical_accuracy: 0.9286 - val_loss: 0.3399 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1524 - categorical_accuracy: 0.9486 - val_loss: 0.3551 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9347 - val_loss: 0.3461 - val_categorical_accuracy: 0.8925 - 410ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9460 - val_loss: 0.5739 - val_categorical_accuracy: 0.8329 - 430ms/epoch - 9ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.6547 - categorical_accuracy: 0.8279 - val_loss: 0.3482 - val_categorical_accuracy: 0.8820 - 390ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1614 - categorical_accuracy: 0.9453 - val_loss: 0.3393 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9509 - val_loss: 0.3609 - val_categorical_accuracy: 0.8872 - 390ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1667 - categorical_accuracy: 0.9431 - val_loss: 0.3628 - val_categorical_accuracy: 0.8886 - 390ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9472 - val_loss: 0.3761 - val_categorical_accuracy: 0.8851 - 420ms/epoch - 9ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1700 - categorical_accuracy: 0.9398 - val_loss: 0.3523 - val_categorical_accuracy: 0.8930 - 440ms/epoch - 9ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9438 - val_loss: 0.5792 - val_categorical_accuracy: 0.8333 - 390ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9388 - val_loss: 0.3583 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9427 - val_loss: 0.5804 - val_categorical_accuracy: 0.8149 - 390ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1634 - categorical_accuracy: 0.9436 - val_loss: 0.3636 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1339 - categorical_accuracy: 0.9537 - val_loss: 0.3630 - val_categorical_accuracy: 0.8923 - 390ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1498 - categorical_accuracy: 0.9471 - val_loss: 0.6069 - val_categorical_accuracy: 0.8317 - 410ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.2085 - categorical_accuracy: 0.9297 - val_loss: 0.3298 - val_categorical_accuracy: 0.8979 - 430ms/epoch - 9ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1588 - categorical_accuracy: 0.9436 - val_loss: 0.3569 - val_categorical_accuracy: 0.8900 - 400ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1325 - categorical_accuracy: 0.9547 - val_loss: 0.3546 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9409 - val_loss: 0.3422 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1356 - categorical_accuracy: 0.9528 - val_loss: 0.3928 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1893 - categorical_accuracy: 0.9333 - val_loss: 0.3428 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9506 - val_loss: 0.3934 - val_categorical_accuracy: 0.8788 - 410ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.3166 - categorical_accuracy: 0.9040 - val_loss: 0.3572 - val_categorical_accuracy: 0.8872 - 430ms/epoch - 9ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1414 - categorical_accuracy: 0.9521 - val_loss: 0.3347 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1296 - categorical_accuracy: 0.9560 - val_loss: 0.4232 - val_categorical_accuracy: 0.8747 - 390ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1705 - categorical_accuracy: 0.9411 - val_loss: 0.3549 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1293 - categorical_accuracy: 0.9558 - val_loss: 0.4121 - val_categorical_accuracy: 0.8791 - 390ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1952 - categorical_accuracy: 0.9339 - val_loss: 0.3628 - val_categorical_accuracy: 0.8905 - 410ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1332 - categorical_accuracy: 0.9541 - val_loss: 0.4524 - val_categorical_accuracy: 0.8681 - 430ms/epoch - 9ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1701 - categorical_accuracy: 0.9411 - val_loss: 0.8834 - val_categorical_accuracy: 0.7609 - 390ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.2072 - categorical_accuracy: 0.9369 - val_loss: 0.3498 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1687 - categorical_accuracy: 0.9394 - val_loss: 0.6630 - val_categorical_accuracy: 0.8047 - 390ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1506 - categorical_accuracy: 0.9486 - val_loss: 0.3448 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9444 - val_loss: 0.4697 - val_categorical_accuracy: 0.8539 - 410ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1467 - categorical_accuracy: 0.9480 - val_loss: 0.3833 - val_categorical_accuracy: 0.8878 - 420ms/epoch - 9ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1375 - categorical_accuracy: 0.9518 - val_loss: 0.4466 - val_categorical_accuracy: 0.8679 - 394ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.2559 - categorical_accuracy: 0.9192 - val_loss: 0.3672 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1294 - categorical_accuracy: 0.9558 - val_loss: 0.3817 - val_categorical_accuracy: 0.8861 - 390ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9476 - val_loss: 0.3742 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9450 - val_loss: 0.4308 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1388 - categorical_accuracy: 0.9510 - val_loss: 0.4871 - val_categorical_accuracy: 0.8644 - 405ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9464 - val_loss: 0.3627 - val_categorical_accuracy: 0.8869 - 432ms/epoch - 9ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.2784 - categorical_accuracy: 0.9146 - val_loss: 0.3931 - val_categorical_accuracy: 0.8683 - 389ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1373 - categorical_accuracy: 0.9532 - val_loss: 0.3494 - val_categorical_accuracy: 0.8979 - 389ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1264 - categorical_accuracy: 0.9567 - val_loss: 0.3423 - val_categorical_accuracy: 0.8981 - 414ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1235 - categorical_accuracy: 0.9575 - val_loss: 0.3771 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9282 - val_loss: 0.3463 - val_categorical_accuracy: 0.8959 - 412ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1261 - categorical_accuracy: 0.9569 - val_loss: 0.5057 - val_categorical_accuracy: 0.8634 - 390ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1617 - categorical_accuracy: 0.9425 - val_loss: 0.3557 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9461 - val_loss: 0.3530 - val_categorical_accuracy: 0.8965 - 394ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1252 - categorical_accuracy: 0.9565 - val_loss: 0.3709 - val_categorical_accuracy: 0.8935 - 394ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1672 - categorical_accuracy: 0.9427 - val_loss: 0.3884 - val_categorical_accuracy: 0.8860 - 410ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1222 - categorical_accuracy: 0.9583 - val_loss: 0.3821 - val_categorical_accuracy: 0.8891 - 430ms/epoch - 9ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9553 - val_loss: 0.5405 - val_categorical_accuracy: 0.8512 - 390ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.2526 - categorical_accuracy: 0.9219 - val_loss: 0.3743 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1279 - categorical_accuracy: 0.9553 - val_loss: 0.6881 - val_categorical_accuracy: 0.8061 - 394ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.2497 - categorical_accuracy: 0.9236 - val_loss: 0.3673 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1278 - categorical_accuracy: 0.9560 - val_loss: 0.3493 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1222 - categorical_accuracy: 0.9582 - val_loss: 0.3708 - val_categorical_accuracy: 0.8933 - 430ms/epoch - 9ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9432 - val_loss: 0.3644 - val_categorical_accuracy: 0.8896 - 390ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1198 - categorical_accuracy: 0.9592 - val_loss: 0.3833 - val_categorical_accuracy: 0.8899 - 384ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9392 - val_loss: 0.3900 - val_categorical_accuracy: 0.8846 - 391ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1740 - categorical_accuracy: 0.9413 - val_loss: 0.4501 - val_categorical_accuracy: 0.8683 - 390ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1246 - categorical_accuracy: 0.9578 - val_loss: 0.3954 - val_categorical_accuracy: 0.8878 - 410ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1283 - categorical_accuracy: 0.9551 - val_loss: 0.3877 - val_categorical_accuracy: 0.8880 - 440ms/epoch - 9ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.2150 - categorical_accuracy: 0.9268 - val_loss: 0.3461 - val_categorical_accuracy: 0.8972 - 394ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1190 - categorical_accuracy: 0.9598 - val_loss: 0.3578 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1191 - categorical_accuracy: 0.9591 - val_loss: 0.3901 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1786 - categorical_accuracy: 0.9421 - val_loss: 0.3553 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9605 - val_loss: 0.3648 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1202 - categorical_accuracy: 0.9580 - val_loss: 0.3977 - val_categorical_accuracy: 0.8888 - 414ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.2354 - categorical_accuracy: 0.9273 - val_loss: 0.3442 - val_categorical_accuracy: 0.8976 - 406ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1152 - categorical_accuracy: 0.9610 - val_loss: 0.3748 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1294 - categorical_accuracy: 0.9549 - val_loss: 0.3687 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9388 - val_loss: 0.3430 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1445 - categorical_accuracy: 0.9494 - val_loss: 0.3584 - val_categorical_accuracy: 0.8959 - 414ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1183 - categorical_accuracy: 0.9592 - val_loss: 0.3558 - val_categorical_accuracy: 0.9000 - 430ms/epoch - 9ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1578 - categorical_accuracy: 0.9462 - val_loss: 0.3859 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9481 - val_loss: 0.3434 - val_categorical_accuracy: 0.9026 - 380ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1136 - categorical_accuracy: 0.9610 - val_loss: 0.3755 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1144 - categorical_accuracy: 0.9608 - val_loss: 0.4579 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.2533 - categorical_accuracy: 0.9231 - val_loss: 0.3415 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9613 - val_loss: 0.3608 - val_categorical_accuracy: 0.8988 - 410ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1765 - categorical_accuracy: 0.9414 - val_loss: 0.3674 - val_categorical_accuracy: 0.8958 - 430ms/epoch - 9ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1160 - categorical_accuracy: 0.9600 - val_loss: 0.3562 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1518 - categorical_accuracy: 0.9475 - val_loss: 0.4894 - val_categorical_accuracy: 0.8590 - 390ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1295 - categorical_accuracy: 0.9548 - val_loss: 0.3665 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1174 - categorical_accuracy: 0.9592 - val_loss: 0.3630 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1652 - categorical_accuracy: 0.9452 - val_loss: 0.6591 - val_categorical_accuracy: 0.8069 - 410ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9455 - val_loss: 0.3642 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9592 - val_loss: 0.5316 - val_categorical_accuracy: 0.8513 - 400ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9484 - val_loss: 0.3583 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1205 - categorical_accuracy: 0.9577 - val_loss: 0.3800 - val_categorical_accuracy: 0.8929 - 390ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1481 - categorical_accuracy: 0.9474 - val_loss: 0.3649 - val_categorical_accuracy: 0.8960 - 410ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9467 - val_loss: 0.4018 - val_categorical_accuracy: 0.8882 - 440ms/epoch - 9ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.3066 - categorical_accuracy: 0.9129 - val_loss: 0.3514 - val_categorical_accuracy: 0.8930 - 390ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1223 - categorical_accuracy: 0.9588 - val_loss: 0.3564 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1144 - categorical_accuracy: 0.9605 - val_loss: 0.4586 - val_categorical_accuracy: 0.8629 - 390ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1562 - categorical_accuracy: 0.9473 - val_loss: 0.5795 - val_categorical_accuracy: 0.8493 - 390ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9495 - val_loss: 0.3626 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1116 - categorical_accuracy: 0.9622 - val_loss: 0.3526 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9501 - val_loss: 0.4376 - val_categorical_accuracy: 0.8765 - 440ms/epoch - 9ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1200 - categorical_accuracy: 0.9577 - val_loss: 0.7913 - val_categorical_accuracy: 0.7867 - 400ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.2743 - categorical_accuracy: 0.9225 - val_loss: 0.4330 - val_categorical_accuracy: 0.8716 - 390ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1157 - categorical_accuracy: 0.9604 - val_loss: 0.3665 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1547 - categorical_accuracy: 0.9498 - val_loss: 0.3764 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1153 - categorical_accuracy: 0.9603 - val_loss: 0.5039 - val_categorical_accuracy: 0.8543 - 390ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1169 - categorical_accuracy: 0.9598 - val_loss: 0.3731 - val_categorical_accuracy: 0.8982 - 410ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1365 - categorical_accuracy: 0.9528 - val_loss: 0.3920 - val_categorical_accuracy: 0.8909 - 430ms/epoch - 9ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1354 - categorical_accuracy: 0.9515 - val_loss: 0.3941 - val_categorical_accuracy: 0.8934 - 380ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9351 - val_loss: 0.3576 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1100 - categorical_accuracy: 0.9630 - val_loss: 0.3673 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1090 - categorical_accuracy: 0.9623 - val_loss: 0.3914 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1332 - categorical_accuracy: 0.9527 - val_loss: 0.3647 - val_categorical_accuracy: 0.9017 - 410ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1081 - categorical_accuracy: 0.9623 - val_loss: 0.6931 - val_categorical_accuracy: 0.8097 - 430ms/epoch - 9ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.3655 - categorical_accuracy: 0.9019 - val_loss: 0.3514 - val_categorical_accuracy: 0.8979 - 393ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1095 - categorical_accuracy: 0.9630 - val_loss: 0.3756 - val_categorical_accuracy: 0.8922 - 387ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1149 - categorical_accuracy: 0.9602 - val_loss: 0.4039 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1146 - categorical_accuracy: 0.9600 - val_loss: 0.3882 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9398 - val_loss: 0.4842 - val_categorical_accuracy: 0.8721 - 420ms/epoch - 9ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1933 - categorical_accuracy: 0.9361 - val_loss: 0.3421 - val_categorical_accuracy: 0.9044 - 430ms/epoch - 9ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1040 - categorical_accuracy: 0.9649 - val_loss: 0.3623 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1297 - categorical_accuracy: 0.9550 - val_loss: 0.9218 - val_categorical_accuracy: 0.8166 - 390ms/epoch - 8ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1352 - categorical_accuracy: 0.9564 - val_loss: 0.4124 - val_categorical_accuracy: 0.8896 - 380ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1607 - categorical_accuracy: 0.9448 - val_loss: 0.3878 - val_categorical_accuracy: 0.8920 - 384ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1116 - categorical_accuracy: 0.9617 - val_loss: 0.3689 - val_categorical_accuracy: 0.8999 - 384ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1076 - categorical_accuracy: 0.9625 - val_loss: 0.3687 - val_categorical_accuracy: 0.9021 - 426ms/epoch - 9ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1166 - categorical_accuracy: 0.9584 - val_loss: 0.3867 - val_categorical_accuracy: 0.8959 - 430ms/epoch - 9ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1060 - categorical_accuracy: 0.9634 - val_loss: 0.4230 - val_categorical_accuracy: 0.8891 - 400ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.2083 - categorical_accuracy: 0.9328 - val_loss: 0.3587 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1054 - categorical_accuracy: 0.9640 - val_loss: 0.3755 - val_categorical_accuracy: 0.9003 - 384ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9636 - val_loss: 0.4304 - val_categorical_accuracy: 0.8837 - 386ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1071 - categorical_accuracy: 0.9629 - val_loss: 0.3835 - val_categorical_accuracy: 0.8951 - 410ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.2539 - categorical_accuracy: 0.9250 - val_loss: 0.3572 - val_categorical_accuracy: 0.8990 - 430ms/epoch - 9ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9627 - val_loss: 0.4125 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1245 - categorical_accuracy: 0.9563 - val_loss: 0.4786 - val_categorical_accuracy: 0.8825 - 384ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1416 - categorical_accuracy: 0.9539 - val_loss: 0.3635 - val_categorical_accuracy: 0.9024 - 386ms/epoch - 8ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1023 - categorical_accuracy: 0.9651 - val_loss: 0.3853 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1133 - categorical_accuracy: 0.9597 - val_loss: 0.3738 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9449 - val_loss: 0.3526 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1029 - categorical_accuracy: 0.9645 - val_loss: 0.3682 - val_categorical_accuracy: 0.8984 - 434ms/epoch - 9ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.2252 - categorical_accuracy: 0.9337 - val_loss: 0.3683 - val_categorical_accuracy: 0.8941 - 386ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1076 - categorical_accuracy: 0.9632 - val_loss: 0.3824 - val_categorical_accuracy: 0.8911 - 400ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1060 - categorical_accuracy: 0.9636 - val_loss: 0.4002 - val_categorical_accuracy: 0.8928 - 390ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1570 - categorical_accuracy: 0.9462 - val_loss: 0.3523 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1027 - categorical_accuracy: 0.9647 - val_loss: 0.3677 - val_categorical_accuracy: 0.9010 - 414ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 1s - loss: 0.1037 - categorical_accuracy: 0.9642 - val_loss: 0.3820 - val_categorical_accuracy: 0.8990 - 606ms/epoch - 12ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9471 - val_loss: 0.4507 - val_categorical_accuracy: 0.8749 - 450ms/epoch - 9ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1070 - categorical_accuracy: 0.9630 - val_loss: 0.3726 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1727 - categorical_accuracy: 0.9435 - val_loss: 0.4127 - val_categorical_accuracy: 0.8810 - 400ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1026 - categorical_accuracy: 0.9647 - val_loss: 0.3975 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.2251 - categorical_accuracy: 0.9318 - val_loss: 0.3719 - val_categorical_accuracy: 0.8899 - 390ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1092 - categorical_accuracy: 0.9626 - val_loss: 0.3600 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9650 - val_loss: 0.4175 - val_categorical_accuracy: 0.8892 - 390ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1016 - categorical_accuracy: 0.9649 - val_loss: 0.3778 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1172 - categorical_accuracy: 0.9585 - val_loss: 0.3879 - val_categorical_accuracy: 0.8909 - 415ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9648 - val_loss: 0.3743 - val_categorical_accuracy: 0.8959 - 420ms/epoch - 9ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.2286 - categorical_accuracy: 0.9305 - val_loss: 0.3816 - val_categorical_accuracy: 0.8813 - 400ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1098 - categorical_accuracy: 0.9628 - val_loss: 0.3643 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.0995 - categorical_accuracy: 0.9658 - val_loss: 0.3762 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1069 - categorical_accuracy: 0.9622 - val_loss: 0.4452 - val_categorical_accuracy: 0.8838 - 384ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9512 - val_loss: 0.3857 - val_categorical_accuracy: 0.8951 - 410ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1126 - categorical_accuracy: 0.9604 - val_loss: 0.3910 - val_categorical_accuracy: 0.8963 - 420ms/epoch - 9ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1523 - categorical_accuracy: 0.9491 - val_loss: 0.3728 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1016 - categorical_accuracy: 0.9646 - val_loss: 0.4438 - val_categorical_accuracy: 0.8812 - 390ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1405 - categorical_accuracy: 0.9510 - val_loss: 0.3735 - val_categorical_accuracy: 0.9005 - 404ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9662 - val_loss: 0.3790 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1184 - categorical_accuracy: 0.9582 - val_loss: 0.4376 - val_categorical_accuracy: 0.8850 - 410ms/epoch - 8ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1456 - categorical_accuracy: 0.9518 - val_loss: 0.3832 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9655 - val_loss: 0.4664 - val_categorical_accuracy: 0.8755 - 390ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.2001 - categorical_accuracy: 0.9356 - val_loss: 0.3686 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9681 - val_loss: 0.4254 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9643 - val_loss: 0.4063 - val_categorical_accuracy: 0.8929 - 410ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1003 - categorical_accuracy: 0.9646 - val_loss: 0.4193 - val_categorical_accuracy: 0.8883 - 440ms/epoch - 9ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.2108 - categorical_accuracy: 0.9399 - val_loss: 0.4765 - val_categorical_accuracy: 0.8563 - 440ms/epoch - 9ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9607 - val_loss: 0.3821 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1068 - categorical_accuracy: 0.9621 - val_loss: 0.3680 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9665 - val_loss: 0.3905 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1010 - categorical_accuracy: 0.9645 - val_loss: 0.4631 - val_categorical_accuracy: 0.8783 - 390ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9667 - val_loss: 0.3775 - val_categorical_accuracy: 0.9032 - 380ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1657 - categorical_accuracy: 0.9456 - val_loss: 0.3688 - val_categorical_accuracy: 0.9001 - 385ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9668 - val_loss: 0.3992 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9665 - val_loss: 0.3861 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.1904 - categorical_accuracy: 0.9402 - val_loss: 0.3815 - val_categorical_accuracy: 0.8926 - 420ms/epoch - 9ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.0980 - categorical_accuracy: 0.9661 - val_loss: 0.3953 - val_categorical_accuracy: 0.8934 - 430ms/epoch - 9ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.0973 - categorical_accuracy: 0.9661 - val_loss: 0.3945 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.0948 - categorical_accuracy: 0.9661 - val_loss: 0.4126 - val_categorical_accuracy: 0.8923 - 390ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.3095 - categorical_accuracy: 0.9146 - val_loss: 0.4148 - val_categorical_accuracy: 0.8730 - 390ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1209 - categorical_accuracy: 0.9582 - val_loss: 0.3730 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9679 - val_loss: 0.3840 - val_categorical_accuracy: 0.8997 - 420ms/epoch - 9ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9672 - val_loss: 0.3856 - val_categorical_accuracy: 0.8996 - 384ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9664 - val_loss: 0.3878 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9650 - val_loss: 0.3872 - val_categorical_accuracy: 0.9010 - 380ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.0910 - categorical_accuracy: 0.9683 - val_loss: 0.3955 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.2196 - categorical_accuracy: 0.9368 - val_loss: 0.3595 - val_categorical_accuracy: 0.9018 - 410ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9662 - val_loss: 0.3815 - val_categorical_accuracy: 0.9002 - 435ms/epoch - 9ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9671 - val_loss: 0.4888 - val_categorical_accuracy: 0.8724 - 400ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.1435 - categorical_accuracy: 0.9526 - val_loss: 0.3664 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9685 - val_loss: 0.4303 - val_categorical_accuracy: 0.8895 - 390ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.1575 - categorical_accuracy: 0.9477 - val_loss: 0.4023 - val_categorical_accuracy: 0.8918 - 390ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9661 - val_loss: 0.4122 - val_categorical_accuracy: 0.8919 - 410ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9678 - val_loss: 0.4405 - val_categorical_accuracy: 0.8881 - 390ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9609 - val_loss: 0.5847 - val_categorical_accuracy: 0.8579 - 400ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.1370 - categorical_accuracy: 0.9535 - val_loss: 0.3958 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9685 - val_loss: 0.4135 - val_categorical_accuracy: 0.8925 - 400ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.1558 - categorical_accuracy: 0.9504 - val_loss: 0.4050 - val_categorical_accuracy: 0.8928 - 420ms/epoch - 9ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0940 - categorical_accuracy: 0.9677 - val_loss: 0.3849 - val_categorical_accuracy: 0.9004 - 430ms/epoch - 9ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.0913 - categorical_accuracy: 0.9680 - val_loss: 0.4401 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.1605 - categorical_accuracy: 0.9463 - val_loss: 0.3712 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.0920 - categorical_accuracy: 0.9684 - val_loss: 0.3904 - val_categorical_accuracy: 0.9003 - 380ms/epoch - 8ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0912 - categorical_accuracy: 0.9680 - val_loss: 0.3979 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9672 - val_loss: 0.3979 - val_categorical_accuracy: 0.9027 - 380ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9441 - val_loss: 0.3826 - val_categorical_accuracy: 0.8972 - 420ms/epoch - 9ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9681 - val_loss: 0.4165 - val_categorical_accuracy: 0.8838 - 430ms/epoch - 9ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9644 - val_loss: 0.3849 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9678 - val_loss: 0.4362 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0918 - categorical_accuracy: 0.9673 - val_loss: 0.4245 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.2255 - categorical_accuracy: 0.9318 - val_loss: 0.3797 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9681 - val_loss: 0.4075 - val_categorical_accuracy: 0.8940 - 410ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9656 - val_loss: 0.3962 - val_categorical_accuracy: 0.9009 - 440ms/epoch - 9ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9665 - val_loss: 0.4040 - val_categorical_accuracy: 0.9011 - 410ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9472 - val_loss: 0.4053 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.0958 - categorical_accuracy: 0.9667 - val_loss: 0.4052 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.1742 - categorical_accuracy: 0.9468 - val_loss: 0.3884 - val_categorical_accuracy: 0.8985 - 380ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1096 - categorical_accuracy: 0.9615 - val_loss: 0.3937 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.1022 - categorical_accuracy: 0.9645 - val_loss: 0.4572 - val_categorical_accuracy: 0.8810 - 390ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9654 - val_loss: 0.3950 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9696 - val_loss: 0.3980 - val_categorical_accuracy: 0.8990 - 430ms/epoch - 9ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9671 - val_loss: 0.4041 - val_categorical_accuracy: 0.9011 - 410ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.1536 - categorical_accuracy: 0.9523 - val_loss: 0.5243 - val_categorical_accuracy: 0.8636 - 390ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.1052 - categorical_accuracy: 0.9632 - val_loss: 0.4415 - val_categorical_accuracy: 0.8847 - 400ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.1992 - categorical_accuracy: 0.9363 - val_loss: 0.3591 - val_categorical_accuracy: 0.9004 - 380ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.0937 - categorical_accuracy: 0.9677 - val_loss: 0.4258 - val_categorical_accuracy: 0.8884 - 390ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9662 - val_loss: 0.3863 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9686 - val_loss: 0.4204 - val_categorical_accuracy: 0.8890 - 410ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0911 - categorical_accuracy: 0.9684 - val_loss: 0.3875 - val_categorical_accuracy: 0.9047 - 430ms/epoch - 9ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9643 - val_loss: 0.4122 - val_categorical_accuracy: 0.8950 - 400ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.2325 - categorical_accuracy: 0.9315 - val_loss: 0.4035 - val_categorical_accuracy: 0.8867 - 390ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9653 - val_loss: 0.3946 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9702 - val_loss: 0.3872 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9706 - val_loss: 0.4277 - val_categorical_accuracy: 0.8922 - 410ms/epoch - 8ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.1517 - categorical_accuracy: 0.9504 - val_loss: 0.4262 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9671 - val_loss: 0.3874 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9684 - val_loss: 0.3954 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9693 - val_loss: 0.4104 - val_categorical_accuracy: 0.9000 - 410ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9696 - val_loss: 0.4043 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9434 - val_loss: 0.3820 - val_categorical_accuracy: 0.9009 - 430ms/epoch - 9ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9687 - val_loss: 0.4051 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.1583 - categorical_accuracy: 0.9526 - val_loss: 0.3854 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.1006 - categorical_accuracy: 0.9641 - val_loss: 0.4046 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.0858 - categorical_accuracy: 0.9699 - val_loss: 0.4036 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9703 - val_loss: 0.4688 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9677 - val_loss: 0.4975 - val_categorical_accuracy: 0.8773 - 430ms/epoch - 9ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.1803 - categorical_accuracy: 0.9430 - val_loss: 0.3880 - val_categorical_accuracy: 0.9039 - 440ms/epoch - 9ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9696 - val_loss: 0.4054 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9689 - val_loss: 0.4000 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0858 - categorical_accuracy: 0.9700 - val_loss: 0.4872 - val_categorical_accuracy: 0.8803 - 380ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.1824 - categorical_accuracy: 0.9429 - val_loss: 0.4087 - val_categorical_accuracy: 0.8948 - 380ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9698 - val_loss: 0.4544 - val_categorical_accuracy: 0.8846 - 390ms/epoch - 8ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9635 - val_loss: 0.4055 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9689 - val_loss: 0.4152 - val_categorical_accuracy: 0.8975 - 440ms/epoch - 9ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0918 - categorical_accuracy: 0.9675 - val_loss: 0.4020 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.1794 - categorical_accuracy: 0.9451 - val_loss: 0.3834 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9700 - val_loss: 0.4143 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9672 - val_loss: 0.4013 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.1344 - categorical_accuracy: 0.9563 - val_loss: 0.4059 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9704 - val_loss: 0.4114 - val_categorical_accuracy: 0.9017 - 440ms/epoch - 9ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9692 - val_loss: 0.4315 - val_categorical_accuracy: 0.8936 - 400ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9666 - val_loss: 0.4829 - val_categorical_accuracy: 0.8849 - 400ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0957 - categorical_accuracy: 0.9662 - val_loss: 0.5710 - val_categorical_accuracy: 0.8693 - 390ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.2136 - categorical_accuracy: 0.9358 - val_loss: 0.3759 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9708 - val_loss: 0.4888 - val_categorical_accuracy: 0.8747 - 390ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.1406 - categorical_accuracy: 0.9534 - val_loss: 0.3886 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.1194 - categorical_accuracy: 0.9592 - val_loss: 0.8756 - val_categorical_accuracy: 0.8148 - 410ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.2601 - categorical_accuracy: 0.9278 - val_loss: 0.3648 - val_categorical_accuracy: 0.9044 - 430ms/epoch - 9ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9700 - val_loss: 0.4017 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9697 - val_loss: 0.3897 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.0953 - categorical_accuracy: 0.9666 - val_loss: 0.4362 - val_categorical_accuracy: 0.8899 - 390ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9666 - val_loss: 0.4070 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9682 - val_loss: 0.3964 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9683 - val_loss: 0.4044 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9679 - val_loss: 0.4973 - val_categorical_accuracy: 0.8809 - 390ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9484 - val_loss: 0.3893 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9713 - val_loss: 0.4036 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9715 - val_loss: 0.4167 - val_categorical_accuracy: 0.8973 - 420ms/epoch - 9ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9675 - val_loss: 0.4511 - val_categorical_accuracy: 0.8887 - 440ms/epoch - 9ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9500 - val_loss: 0.4242 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9705 - val_loss: 0.4090 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9702 - val_loss: 0.4053 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.6289 - categorical_accuracy: 0.8425 - val_loss: 0.3800 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9601 - val_loss: 0.3740 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9681 - val_loss: 0.4244 - val_categorical_accuracy: 0.8896 - 420ms/epoch - 9ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9686 - val_loss: 0.3982 - val_categorical_accuracy: 0.9003 - 440ms/epoch - 9ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9702 - val_loss: 0.3847 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9660 - val_loss: 0.4025 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9705 - val_loss: 0.4137 - val_categorical_accuracy: 0.8995 - 380ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9711 - val_loss: 0.4025 - val_categorical_accuracy: 0.9054 - 380ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9690 - val_loss: 0.4319 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.1582 - categorical_accuracy: 0.9489 - val_loss: 0.3927 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9706 - val_loss: 0.4095 - val_categorical_accuracy: 0.8983 - 430ms/epoch - 9ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9699 - val_loss: 0.4417 - val_categorical_accuracy: 0.8962 - 430ms/epoch - 9ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.1610 - categorical_accuracy: 0.9514 - val_loss: 0.4089 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9705 - val_loss: 0.3881 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9725 - val_loss: 0.3974 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9696 - val_loss: 0.4142 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9699 - val_loss: 0.4480 - val_categorical_accuracy: 0.8963 - 410ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9693 - val_loss: 0.4603 - val_categorical_accuracy: 0.8905 - 420ms/epoch - 9ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.1515 - categorical_accuracy: 0.9533 - val_loss: 0.4073 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9708 - val_loss: 0.4043 - val_categorical_accuracy: 0.9073 - 380ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.1911 - categorical_accuracy: 0.9424 - val_loss: 0.3906 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9702 - val_loss: 0.3968 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9717 - val_loss: 0.3949 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0965 - categorical_accuracy: 0.9662 - val_loss: 0.4174 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9719 - val_loss: 0.4171 - val_categorical_accuracy: 0.8972 - 440ms/epoch - 9ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9713 - val_loss: 0.4191 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9694 - val_loss: 0.4211 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.1843 - categorical_accuracy: 0.9433 - val_loss: 0.4029 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9713 - val_loss: 0.4363 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9719 - val_loss: 0.4146 - val_categorical_accuracy: 0.8988 - 380ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9712 - val_loss: 0.4138 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9674 - val_loss: 0.4070 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9711 - val_loss: 0.4159 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9715 - val_loss: 0.4268 - val_categorical_accuracy: 0.9003 - 430ms/epoch - 9ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9721 - val_loss: 0.4626 - val_categorical_accuracy: 0.8932 - 400ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.1589 - categorical_accuracy: 0.9511 - val_loss: 0.4058 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9720 - val_loss: 0.5071 - val_categorical_accuracy: 0.8798 - 390ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9701 - val_loss: 0.4261 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9711 - val_loss: 0.4680 - val_categorical_accuracy: 0.8884 - 420ms/epoch - 9ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9473 - val_loss: 0.4025 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9730 - val_loss: 0.4176 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9697 - val_loss: 0.4092 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9690 - val_loss: 0.4111 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9726 - val_loss: 0.4317 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9703 - val_loss: 0.4271 - val_categorical_accuracy: 0.9038 - 440ms/epoch - 9ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.3202 - categorical_accuracy: 0.9184 - val_loss: 0.4088 - val_categorical_accuracy: 0.8861 - 390ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.1003 - categorical_accuracy: 0.9654 - val_loss: 0.3868 - val_categorical_accuracy: 0.9036 - 380ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9729 - val_loss: 0.4130 - val_categorical_accuracy: 0.9003 - 380ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9708 - val_loss: 0.4120 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9719 - val_loss: 0.4070 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9717 - val_loss: 0.4187 - val_categorical_accuracy: 0.9037 - 420ms/epoch - 9ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9676 - val_loss: 0.4488 - val_categorical_accuracy: 0.8921 - 430ms/epoch - 9ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9698 - val_loss: 0.4137 - val_categorical_accuracy: 0.9036 - 398ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9704 - val_loss: 0.4110 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9729 - val_loss: 0.4409 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.1968 - categorical_accuracy: 0.9386 - val_loss: 0.4318 - val_categorical_accuracy: 0.8917 - 387ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9719 - val_loss: 0.4058 - val_categorical_accuracy: 0.9058 - 410ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9724 - val_loss: 0.4556 - val_categorical_accuracy: 0.8907 - 440ms/epoch - 9ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.2010 - categorical_accuracy: 0.9425 - val_loss: 0.3966 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9724 - val_loss: 0.3992 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9730 - val_loss: 0.4217 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9727 - val_loss: 0.5282 - val_categorical_accuracy: 0.8771 - 390ms/epoch - 8ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.1492 - categorical_accuracy: 0.9537 - val_loss: 0.4359 - val_categorical_accuracy: 0.8948 - 380ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9721 - val_loss: 0.4093 - val_categorical_accuracy: 0.9024 - 380ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9730 - val_loss: 0.4282 - val_categorical_accuracy: 0.9000 - 410ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9690 - val_loss: 0.4155 - val_categorical_accuracy: 0.9041 - 450ms/epoch - 9ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9716 - val_loss: 0.4164 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9713 - val_loss: 0.7632 - val_categorical_accuracy: 0.8336 - 390ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9457 - val_loss: 0.4020 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9724 - val_loss: 0.3997 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9716 - val_loss: 0.4174 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9713 - val_loss: 0.4269 - val_categorical_accuracy: 0.8989 - 410ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9718 - val_loss: 0.4309 - val_categorical_accuracy: 0.8984 - 430ms/epoch - 9ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9716 - val_loss: 0.4502 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9704 - val_loss: 0.4577 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9686 - val_loss: 0.4604 - val_categorical_accuracy: 0.8914 - 390ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0910 - categorical_accuracy: 0.9675 - val_loss: 0.4227 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9709 - val_loss: 0.4227 - val_categorical_accuracy: 0.9046 - 420ms/epoch - 9ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9717 - val_loss: 0.4427 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9729 - val_loss: 0.4886 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.2760 - categorical_accuracy: 0.9256 - val_loss: 0.4072 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9736 - val_loss: 0.3964 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9693 - val_loss: 0.5143 - val_categorical_accuracy: 0.8755 - 420ms/epoch - 9ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9691 - val_loss: 0.4630 - val_categorical_accuracy: 0.8903 - 440ms/epoch - 9ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.1957 - categorical_accuracy: 0.9415 - val_loss: 0.4099 - val_categorical_accuracy: 0.8985 - 380ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9730 - val_loss: 0.4171 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9710 - val_loss: 0.4067 - val_categorical_accuracy: 0.9070 - 385ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9739 - val_loss: 0.4202 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9708 - val_loss: 0.5707 - val_categorical_accuracy: 0.8736 - 380ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9569 - val_loss: 0.4069 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9726 - val_loss: 0.4396 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9685 - val_loss: 0.4514 - val_categorical_accuracy: 0.8980 - 430ms/epoch - 9ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.2007 - categorical_accuracy: 0.9437 - val_loss: 0.3941 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9734 - val_loss: 0.4334 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9725 - val_loss: 0.4436 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9738 - val_loss: 0.4171 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.1108 - categorical_accuracy: 0.9633 - val_loss: 0.9188 - val_categorical_accuracy: 0.7938 - 414ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.1264 - categorical_accuracy: 0.9611 - val_loss: 0.4031 - val_categorical_accuracy: 0.9049 - 450ms/epoch - 9ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9739 - val_loss: 0.4174 - val_categorical_accuracy: 0.9049 - 430ms/epoch - 9ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9730 - val_loss: 0.4126 - val_categorical_accuracy: 0.9062 - 380ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9727 - val_loss: 0.4352 - val_categorical_accuracy: 0.9022 - 380ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9699 - val_loss: 0.4206 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9733 - val_loss: 0.4198 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9746 - val_loss: 0.4319 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9721 - val_loss: 0.4552 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0829 - categorical_accuracy: 0.9699 - val_loss: 0.4506 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9699 - val_loss: 0.5908 - val_categorical_accuracy: 0.8714 - 430ms/epoch - 9ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.2090 - categorical_accuracy: 0.9434 - val_loss: 0.4039 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 1s - loss: 0.0753 - categorical_accuracy: 0.9739 - val_loss: 0.4158 - val_categorical_accuracy: 0.9062 - 560ms/epoch - 11ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9738 - val_loss: 0.4660 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0826 - categorical_accuracy: 0.9701 - val_loss: 0.6454 - val_categorical_accuracy: 0.8553 - 390ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.1403 - categorical_accuracy: 0.9557 - val_loss: 0.4141 - val_categorical_accuracy: 0.9023 - 434ms/epoch - 9ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9734 - val_loss: 0.4191 - val_categorical_accuracy: 0.9081 - 430ms/epoch - 9ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9734 - val_loss: 0.4455 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9735 - val_loss: 0.4251 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9735 - val_loss: 0.4551 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9720 - val_loss: 0.4731 - val_categorical_accuracy: 0.8949 - 384ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.3180 - categorical_accuracy: 0.9178 - val_loss: 0.3952 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9724 - val_loss: 0.4037 - val_categorical_accuracy: 0.9065 - 440ms/epoch - 9ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9746 - val_loss: 0.4244 - val_categorical_accuracy: 0.8993 - 430ms/epoch - 9ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9720 - val_loss: 0.4085 - val_categorical_accuracy: 0.9067 - 404ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9732 - val_loss: 0.4205 - val_categorical_accuracy: 0.9061 - 386ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9742 - val_loss: 0.4395 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9733 - val_loss: 0.4136 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.1774 - categorical_accuracy: 0.9447 - val_loss: 0.3917 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9736 - val_loss: 0.4563 - val_categorical_accuracy: 0.8946 - 394ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9707 - val_loss: 0.4433 - val_categorical_accuracy: 0.8980 - 396ms/epoch - 8ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9740 - val_loss: 0.4346 - val_categorical_accuracy: 0.8998 - 430ms/epoch - 9ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9694 - val_loss: 0.4420 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9740 - val_loss: 0.4367 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.1491 - categorical_accuracy: 0.9548 - val_loss: 0.6851 - val_categorical_accuracy: 0.8328 - 395ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0994 - categorical_accuracy: 0.9654 - val_loss: 0.4053 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9740 - val_loss: 0.4187 - val_categorical_accuracy: 0.9044 - 410ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9745 - val_loss: 0.4482 - val_categorical_accuracy: 0.9018 - 430ms/epoch - 9ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9727 - val_loss: 0.4230 - val_categorical_accuracy: 0.9059 - 384ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9729 - val_loss: 0.4520 - val_categorical_accuracy: 0.8972 - 384ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9740 - val_loss: 0.4284 - val_categorical_accuracy: 0.9078 - 406ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9727 - val_loss: 0.4924 - val_categorical_accuracy: 0.8900 - 380ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.1596 - categorical_accuracy: 0.9523 - val_loss: 0.4292 - val_categorical_accuracy: 0.9027 - 410ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9741 - val_loss: 0.4303 - val_categorical_accuracy: 0.9069 - 430ms/epoch - 9ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9712 - val_loss: 0.5288 - val_categorical_accuracy: 0.8860 - 384ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9381 - val_loss: 0.4038 - val_categorical_accuracy: 0.9030 - 386ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9745 - val_loss: 0.4105 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9745 - val_loss: 0.4285 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9737 - val_loss: 0.4489 - val_categorical_accuracy: 0.9019 - 410ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9735 - val_loss: 0.4395 - val_categorical_accuracy: 0.8993 - 424ms/epoch - 9ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9727 - val_loss: 0.4468 - val_categorical_accuracy: 0.8996 - 386ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.1711 - categorical_accuracy: 0.9483 - val_loss: 0.4131 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9741 - val_loss: 0.4980 - val_categorical_accuracy: 0.8863 - 390ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9714 - val_loss: 0.4267 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9731 - val_loss: 0.4270 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9726 - val_loss: 0.4271 - val_categorical_accuracy: 0.9067 - 440ms/epoch - 9ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9743 - val_loss: 0.4430 - val_categorical_accuracy: 0.9022 - 430ms/epoch - 9ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9743 - val_loss: 0.4733 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9732 - val_loss: 0.4537 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9734 - val_loss: 0.4668 - val_categorical_accuracy: 0.8989 - 384ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.2336 - categorical_accuracy: 0.9371 - val_loss: 0.4154 - val_categorical_accuracy: 0.9041 - 396ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9742 - val_loss: 0.4174 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9732 - val_loss: 0.4223 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9737 - val_loss: 0.4304 - val_categorical_accuracy: 0.9066 - 420ms/epoch - 9ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9755 - val_loss: 0.4391 - val_categorical_accuracy: 0.9045 - 434ms/epoch - 9ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9747 - val_loss: 0.4347 - val_categorical_accuracy: 0.9035 - 386ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9734 - val_loss: 0.4363 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9717 - val_loss: 0.4402 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9717 - val_loss: 0.4440 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9731 - val_loss: 0.4987 - val_categorical_accuracy: 0.8922 - 390ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.1732 - categorical_accuracy: 0.9483 - val_loss: 0.4441 - val_categorical_accuracy: 0.8980 - 388ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9744 - val_loss: 0.4422 - val_categorical_accuracy: 0.9003 - 430ms/epoch - 9ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9756 - val_loss: 0.4281 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9761 - val_loss: 0.4349 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.1519 - categorical_accuracy: 0.9551 - val_loss: 1.3221 - val_categorical_accuracy: 0.6903 - 390ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.1409 - categorical_accuracy: 0.9529 - val_loss: 0.4089 - val_categorical_accuracy: 0.9042 - 388ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9741 - val_loss: 0.4577 - val_categorical_accuracy: 0.8940 - 420ms/epoch - 9ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9746 - val_loss: 0.4232 - val_categorical_accuracy: 0.9063 - 440ms/epoch - 9ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9751 - val_loss: 0.4315 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9737 - val_loss: 0.4734 - val_categorical_accuracy: 0.8959 - 394ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9746 - val_loss: 0.4638 - val_categorical_accuracy: 0.8978 - 386ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9738 - val_loss: 0.4620 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9745 - val_loss: 0.4493 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9677 - val_loss: 0.4738 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9722 - val_loss: 0.5477 - val_categorical_accuracy: 0.8754 - 410ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9706 - val_loss: 0.4438 - val_categorical_accuracy: 0.9056 - 428ms/epoch - 9ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9720 - val_loss: 0.4644 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9717 - val_loss: 0.4552 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.2303 - categorical_accuracy: 0.9395 - val_loss: 0.4053 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9731 - val_loss: 0.4672 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9736 - val_loss: 0.4617 - val_categorical_accuracy: 0.8956 - 414ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9730 - val_loss: 0.4320 - val_categorical_accuracy: 0.9065 - 430ms/epoch - 9ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9756 - val_loss: 0.4683 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9751 - val_loss: 0.4797 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9727 - val_loss: 0.5315 - val_categorical_accuracy: 0.8839 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9722 - val_loss: 0.5264 - val_categorical_accuracy: 0.8852 - 388ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.3016 - categorical_accuracy: 0.9236 - val_loss: 0.4101 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9746 - val_loss: 0.4220 - val_categorical_accuracy: 0.9053 - 410ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9751 - val_loss: 0.4234 - val_categorical_accuracy: 0.9078 - 430ms/epoch - 9ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9762 - val_loss: 0.4408 - val_categorical_accuracy: 0.9041 - 384ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9718 - val_loss: 0.4655 - val_categorical_accuracy: 0.8970 - 386ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9748 - val_loss: 0.4292 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.4421 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9751 - val_loss: 0.4607 - val_categorical_accuracy: 0.8982 - 410ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9735 - val_loss: 0.4940 - val_categorical_accuracy: 0.8949 - 430ms/epoch - 9ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9746 - val_loss: 0.4863 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9731 - val_loss: 0.4838 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9743 - val_loss: 0.5192 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.2659 - categorical_accuracy: 0.9302 - val_loss: 0.4282 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9741 - val_loss: 0.4403 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9763 - val_loss: 0.4763 - val_categorical_accuracy: 0.8944 - 440ms/epoch - 9ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9728 - val_loss: 0.4667 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9717 - val_loss: 0.4651 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9762 - val_loss: 0.5004 - val_categorical_accuracy: 0.8909 - 394ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9707 - val_loss: 0.4810 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9741 - val_loss: 0.4543 - val_categorical_accuracy: 0.9039 - 388ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9717 - val_loss: 0.4566 - val_categorical_accuracy: 0.9035 - 410ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.1300 - categorical_accuracy: 0.9636 - val_loss: 1.3743 - val_categorical_accuracy: 0.7352 - 430ms/epoch - 9ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.1303 - categorical_accuracy: 0.9582 - val_loss: 0.4642 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9746 - val_loss: 0.4490 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9751 - val_loss: 0.4331 - val_categorical_accuracy: 0.9081 - 388ms/epoch - 8ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.2223 - categorical_accuracy: 0.9403 - val_loss: 0.4393 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9696 - val_loss: 0.4218 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9759 - val_loss: 0.4494 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9753 - val_loss: 0.4503 - val_categorical_accuracy: 0.9020 - 440ms/epoch - 9ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9758 - val_loss: 0.5095 - val_categorical_accuracy: 0.8862 - 390ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9743 - val_loss: 0.4449 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9758 - val_loss: 0.5022 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9723 - val_loss: 0.4556 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9736 - val_loss: 0.4473 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9716 - val_loss: 0.4410 - val_categorical_accuracy: 0.9061 - 405ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9749 - val_loss: 0.4396 - val_categorical_accuracy: 0.9065 - 440ms/epoch - 9ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9756 - val_loss: 0.4712 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4644 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9757 - val_loss: 0.4880 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9748 - val_loss: 0.4851 - val_categorical_accuracy: 0.8972 - 394ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.2291 - categorical_accuracy: 0.9410 - val_loss: 0.4425 - val_categorical_accuracy: 0.8842 - 410ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9700 - val_loss: 0.4310 - val_categorical_accuracy: 0.9042 - 430ms/epoch - 9ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9754 - val_loss: 0.4422 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9764 - val_loss: 0.4465 - val_categorical_accuracy: 0.9051 - 394ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9741 - val_loss: 0.4501 - val_categorical_accuracy: 0.9043 - 396ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9763 - val_loss: 0.4546 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.1578 - categorical_accuracy: 0.9525 - val_loss: 0.4576 - val_categorical_accuracy: 0.8955 - 420ms/epoch - 9ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9758 - val_loss: 0.4414 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9770 - val_loss: 0.4402 - val_categorical_accuracy: 0.9072 - 394ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9773 - val_loss: 0.5008 - val_categorical_accuracy: 0.8942 - 396ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9717 - val_loss: 0.5089 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.2100 - categorical_accuracy: 0.9438 - val_loss: 0.4279 - val_categorical_accuracy: 0.9015 - 410ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9760 - val_loss: 0.4534 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9753 - val_loss: 0.4333 - val_categorical_accuracy: 0.9078 - 410ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9761 - val_loss: 0.4455 - val_categorical_accuracy: 0.9076 - 382ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9765 - val_loss: 0.4436 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.2157 - categorical_accuracy: 0.9380 - val_loss: 0.4173 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9736 - val_loss: 0.4443 - val_categorical_accuracy: 0.8960 - 430ms/epoch - 9ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9750 - val_loss: 0.4387 - val_categorical_accuracy: 0.9046 - 394ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9770 - val_loss: 0.4426 - val_categorical_accuracy: 0.9056 - 386ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9769 - val_loss: 0.4772 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9766 - val_loss: 0.4859 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9755 - val_loss: 0.4502 - val_categorical_accuracy: 0.9062 - 410ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9760 - val_loss: 0.4772 - val_categorical_accuracy: 0.9043 - 424ms/epoch - 9ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9744 - val_loss: 0.4738 - val_categorical_accuracy: 0.9049 - 386ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9754 - val_loss: 0.4728 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9762 - val_loss: 0.4615 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9749 - val_loss: 0.4744 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9747 - val_loss: 0.4998 - val_categorical_accuracy: 0.9006 - 410ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.2239 - categorical_accuracy: 0.9424 - val_loss: 0.4501 - val_categorical_accuracy: 0.8797 - 434ms/epoch - 9ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9706 - val_loss: 0.4343 - val_categorical_accuracy: 0.9018 - 380ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9764 - val_loss: 0.4589 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9767 - val_loss: 0.4566 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9766 - val_loss: 0.4776 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9759 - val_loss: 0.4455 - val_categorical_accuracy: 0.9089 - 414ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.4561 - val_categorical_accuracy: 0.9049 - 430ms/epoch - 9ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9731 - val_loss: 0.4696 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9751 - val_loss: 0.4889 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9748 - val_loss: 0.4519 - val_categorical_accuracy: 0.9086 - 380ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9758 - val_loss: 0.4855 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9758 - val_loss: 0.4889 - val_categorical_accuracy: 0.8985 - 410ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9747 - val_loss: 0.4957 - val_categorical_accuracy: 0.8991 - 430ms/epoch - 9ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9752 - val_loss: 0.4788 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9767 - val_loss: 0.4924 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9758 - val_loss: 0.4822 - val_categorical_accuracy: 0.9038 - 392ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.1983 - categorical_accuracy: 0.9429 - val_loss: 0.4517 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9759 - val_loss: 0.4537 - val_categorical_accuracy: 0.9016 - 410ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9763 - val_loss: 0.4585 - val_categorical_accuracy: 0.9049 - 430ms/epoch - 9ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9758 - val_loss: 0.6151 - val_categorical_accuracy: 0.8676 - 384ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.1960 - categorical_accuracy: 0.9458 - val_loss: 0.4534 - val_categorical_accuracy: 0.8981 - 386ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9761 - val_loss: 0.4468 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9768 - val_loss: 0.4655 - val_categorical_accuracy: 0.9030 - 380ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9768 - val_loss: 0.4758 - val_categorical_accuracy: 0.9037 - 394ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9766 - val_loss: 0.4548 - val_categorical_accuracy: 0.9076 - 440ms/epoch - 9ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9729 - val_loss: 0.5137 - val_categorical_accuracy: 0.8958 - 388ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.3563 - categorical_accuracy: 0.9136 - val_loss: 0.4110 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9741 - val_loss: 0.4347 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9764 - val_loss: 0.4465 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4458 - val_categorical_accuracy: 0.9028 - 410ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9758 - val_loss: 0.4483 - val_categorical_accuracy: 0.9062 - 434ms/epoch - 9ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9764 - val_loss: 0.4458 - val_categorical_accuracy: 0.9086 - 430ms/epoch - 9ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.4903 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9759 - val_loss: 0.4657 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9770 - val_loss: 0.4803 - val_categorical_accuracy: 0.9031 - 394ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.1612 - categorical_accuracy: 0.9539 - val_loss: 0.4223 - val_categorical_accuracy: 0.9057 - 386ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9766 - val_loss: 0.4715 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9771 - val_loss: 0.5071 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9718 - val_loss: 0.4563 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9761 - val_loss: 0.4570 - val_categorical_accuracy: 0.9077 - 440ms/epoch - 9ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9774 - val_loss: 0.4543 - val_categorical_accuracy: 0.9091 - 388ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9765 - val_loss: 0.4736 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9772 - val_loss: 0.4654 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.1299 - categorical_accuracy: 0.9591 - val_loss: 0.4534 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9763 - val_loss: 0.4630 - val_categorical_accuracy: 0.9034 - 410ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9774 - val_loss: 0.4816 - val_categorical_accuracy: 0.9045 - 430ms/epoch - 9ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9760 - val_loss: 0.4909 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9735 - val_loss: 0.4664 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9760 - val_loss: 0.4761 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9763 - val_loss: 0.4726 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9769 - val_loss: 0.4668 - val_categorical_accuracy: 0.9060 - 414ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9751 - val_loss: 0.4760 - val_categorical_accuracy: 0.9054 - 430ms/epoch - 9ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9764 - val_loss: 0.5098 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.2027 - categorical_accuracy: 0.9472 - val_loss: 0.4401 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9754 - val_loss: 0.4916 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9748 - val_loss: 0.4590 - val_categorical_accuracy: 0.9053 - 394ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9781 - val_loss: 0.4731 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.5016 - val_categorical_accuracy: 0.8969 - 420ms/epoch - 9ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9755 - val_loss: 0.4696 - val_categorical_accuracy: 0.9045 - 440ms/epoch - 9ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4753 - val_categorical_accuracy: 0.9059 - 394ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9752 - val_loss: 0.5101 - val_categorical_accuracy: 0.8982 - 386ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.1613 - categorical_accuracy: 0.9557 - val_loss: 1.3916 - val_categorical_accuracy: 0.7865 - 390ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.1363 - categorical_accuracy: 0.9575 - val_loss: 0.4691 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9770 - val_loss: 0.4792 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9767 - val_loss: 0.4845 - val_categorical_accuracy: 0.9025 - 380ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9772 - val_loss: 0.4665 - val_categorical_accuracy: 0.9043 - 394ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9753 - val_loss: 0.4812 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9766 - val_loss: 0.4730 - val_categorical_accuracy: 0.9047 - 430ms/epoch - 9ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9760 - val_loss: 0.4835 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9769 - val_loss: 0.4764 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9771 - val_loss: 0.4736 - val_categorical_accuracy: 0.9053 - 414ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9772 - val_loss: 0.4840 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9736 - val_loss: 0.5135 - val_categorical_accuracy: 0.8975 - 420ms/epoch - 9ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9770 - val_loss: 0.4899 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9774 - val_loss: 0.5110 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9755 - val_loss: 0.5099 - val_categorical_accuracy: 0.9005 - 394ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.4778 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9751 - val_loss: 0.5872 - val_categorical_accuracy: 0.8820 - 410ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.3282 - categorical_accuracy: 0.9187 - val_loss: 0.4420 - val_categorical_accuracy: 0.8970 - 450ms/epoch - 9ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4599 - val_categorical_accuracy: 0.9002 - 394ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9773 - val_loss: 0.5101 - val_categorical_accuracy: 0.8961 - 386ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9764 - val_loss: 0.5518 - val_categorical_accuracy: 0.8861 - 390ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9763 - val_loss: 0.4742 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9771 - val_loss: 0.4992 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9761 - val_loss: 0.4896 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9523 - val_loss: 0.4561 - val_categorical_accuracy: 0.9010 - 410ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9771 - val_loss: 0.4884 - val_categorical_accuracy: 0.8976 - 440ms/epoch - 9ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9775 - val_loss: 0.4610 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.4929 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9765 - val_loss: 0.4841 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9775 - val_loss: 0.5039 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9773 - val_loss: 0.5194 - val_categorical_accuracy: 0.8968 - 386ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.1689 - categorical_accuracy: 0.9500 - val_loss: 0.4454 - val_categorical_accuracy: 0.9052 - 410ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9779 - val_loss: 0.4821 - val_categorical_accuracy: 0.9004 - 437ms/epoch - 9ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9763 - val_loss: 0.4632 - val_categorical_accuracy: 0.9071 - 404ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9780 - val_loss: 0.4732 - val_categorical_accuracy: 0.9052 - 386ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9781 - val_loss: 0.4790 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9599 - val_loss: 0.4367 - val_categorical_accuracy: 0.9103 - 384ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 1s - loss: 0.0640 - categorical_accuracy: 0.9770 - val_loss: 0.4693 - val_categorical_accuracy: 0.9046 - 550ms/epoch - 11ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9755 - val_loss: 0.4914 - val_categorical_accuracy: 0.8993 - 385ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9773 - val_loss: 0.5098 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9754 - val_loss: 0.4931 - val_categorical_accuracy: 0.9020 - 420ms/epoch - 9ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9777 - val_loss: 0.4775 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9775 - val_loss: 0.4837 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.2009 - categorical_accuracy: 0.9413 - val_loss: 0.4377 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9761 - val_loss: 0.4457 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9771 - val_loss: 0.4740 - val_categorical_accuracy: 0.9012 - 380ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9770 - val_loss: 0.5766 - val_categorical_accuracy: 0.8853 - 390ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.1207 - categorical_accuracy: 0.9611 - val_loss: 0.4846 - val_categorical_accuracy: 0.8970 - 380ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9770 - val_loss: 0.4799 - val_categorical_accuracy: 0.9041 - 384ms/epoch - 8ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9781 - val_loss: 0.4596 - val_categorical_accuracy: 0.9081 - 391ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9781 - val_loss: 0.4907 - val_categorical_accuracy: 0.9001 - 380ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9778 - val_loss: 0.5323 - val_categorical_accuracy: 0.8917 - 380ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9726 - val_loss: 0.5184 - val_categorical_accuracy: 0.8965 - 380ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9758 - val_loss: 0.4943 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9779 - val_loss: 0.4887 - val_categorical_accuracy: 0.9034 - 385ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.4915 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9749 - val_loss: 0.4911 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9775 - val_loss: 0.4980 - val_categorical_accuracy: 0.9029 - 420ms/epoch - 9ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9779 - val_loss: 0.4989 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9767 - val_loss: 0.4932 - val_categorical_accuracy: 0.9027 - 384ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9775 - val_loss: 0.4830 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.4988 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9776 - val_loss: 0.5176 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9769 - val_loss: 0.5329 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.1476 - categorical_accuracy: 0.9566 - val_loss: 1.3281 - val_categorical_accuracy: 0.7658 - 384ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.2374 - categorical_accuracy: 0.9368 - val_loss: 0.4287 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9773 - val_loss: 0.4710 - val_categorical_accuracy: 0.9007 - 380ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9772 - val_loss: 0.4573 - val_categorical_accuracy: 0.9068 - 380ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9783 - val_loss: 0.4675 - val_categorical_accuracy: 0.9059 - 380ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9784 - val_loss: 0.4843 - val_categorical_accuracy: 0.9068 - 385ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9779 - val_loss: 0.4817 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9730 - val_loss: 0.8036 - val_categorical_accuracy: 0.8383 - 380ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.2372 - categorical_accuracy: 0.9398 - val_loss: 0.4439 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9782 - val_loss: 0.4621 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9778 - val_loss: 0.4843 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9773 - val_loss: 0.4647 - val_categorical_accuracy: 0.9087 - 410ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9789 - val_loss: 0.4994 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9778 - val_loss: 0.4709 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9786 - val_loss: 0.5290 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9738 - val_loss: 0.5063 - val_categorical_accuracy: 0.8984 - 384ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9770 - val_loss: 0.4991 - val_categorical_accuracy: 0.9008 - 386ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9781 - val_loss: 0.4919 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9777 - val_loss: 0.5231 - val_categorical_accuracy: 0.8940 - 380ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9772 - val_loss: 0.5092 - val_categorical_accuracy: 0.9040 - 380ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9770 - val_loss: 0.5072 - val_categorical_accuracy: 0.9005 - 380ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9760 - val_loss: 0.5045 - val_categorical_accuracy: 0.9007 - 380ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9778 - val_loss: 0.5106 - val_categorical_accuracy: 0.9009 - 380ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9785 - val_loss: 0.5268 - val_categorical_accuracy: 0.9003 - 380ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.2145 - categorical_accuracy: 0.9462 - val_loss: 0.4737 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9774 - val_loss: 0.4898 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9750 - val_loss: 0.5202 - val_categorical_accuracy: 0.8926 - 394ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9535 - val_loss: 0.4558 - val_categorical_accuracy: 0.9052 - 420ms/epoch - 9ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9764 - val_loss: 0.4918 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9785 - val_loss: 0.4952 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9778 - val_loss: 0.5242 - val_categorical_accuracy: 0.8926 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9767 - val_loss: 0.4826 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9783 - val_loss: 0.4891 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9784 - val_loss: 0.5437 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.2797 - categorical_accuracy: 0.9278 - val_loss: 0.4691 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9763 - val_loss: 0.4583 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9782 - val_loss: 0.4693 - val_categorical_accuracy: 0.9090 - 384ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9788 - val_loss: 0.4750 - val_categorical_accuracy: 0.9043 - 380ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9797 - val_loss: 0.4931 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9778 - val_loss: 0.5022 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9763 - val_loss: 0.4854 - val_categorical_accuracy: 0.9080 - 380ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9783 - val_loss: 0.4958 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.3366 - categorical_accuracy: 0.9231 - val_loss: 0.4377 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9659 - val_loss: 0.4414 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9773 - val_loss: 0.4674 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9775 - val_loss: 0.4661 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9774 - val_loss: 0.5646 - val_categorical_accuracy: 0.8827 - 410ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.1423 - categorical_accuracy: 0.9556 - val_loss: 0.4683 - val_categorical_accuracy: 0.8964 - 430ms/epoch - 9ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9774 - val_loss: 0.4581 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9784 - val_loss: 0.4613 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9778 - val_loss: 0.4870 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9783 - val_loss: 0.4775 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9773 - val_loss: 0.5088 - val_categorical_accuracy: 0.8979 - 410ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.1676 - categorical_accuracy: 0.9534 - val_loss: 0.4623 - val_categorical_accuracy: 0.9035 - 440ms/epoch - 9ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9786 - val_loss: 0.4583 - val_categorical_accuracy: 0.9088 - 440ms/epoch - 9ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.4683 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9785 - val_loss: 0.4688 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9791 - val_loss: 0.4987 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.1520 - categorical_accuracy: 0.9546 - val_loss: 0.4806 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9786 - val_loss: 0.4715 - val_categorical_accuracy: 0.9056 - 380ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9786 - val_loss: 0.4901 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9788 - val_loss: 0.4758 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9787 - val_loss: 0.4756 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9789 - val_loss: 0.4817 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 1s - loss: 0.0589 - categorical_accuracy: 0.9786 - val_loss: 0.4990 - val_categorical_accuracy: 0.9048 - 556ms/epoch - 11ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9762 - val_loss: 0.7176 - val_categorical_accuracy: 0.8574 - 430ms/epoch - 9ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.1962 - categorical_accuracy: 0.9469 - val_loss: 0.4676 - val_categorical_accuracy: 0.9040 - 434ms/epoch - 9ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9783 - val_loss: 0.4838 - val_categorical_accuracy: 0.9044 - 430ms/epoch - 9ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9790 - val_loss: 0.4746 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9785 - val_loss: 0.4906 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.1262 - categorical_accuracy: 0.9616 - val_loss: 0.4606 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9774 - val_loss: 0.4775 - val_categorical_accuracy: 0.9043 - 392ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9775 - val_loss: 0.6168 - val_categorical_accuracy: 0.8729 - 390ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.1637 - categorical_accuracy: 0.9545 - val_loss: 0.4596 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9781 - val_loss: 0.4629 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9792 - val_loss: 0.4793 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9790 - val_loss: 0.4775 - val_categorical_accuracy: 0.9070 - 430ms/epoch - 9ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9794 - val_loss: 0.4926 - val_categorical_accuracy: 0.9052 - 430ms/epoch - 9ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9792 - val_loss: 0.4972 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.5045 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9696 - val_loss: 0.4817 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9792 - val_loss: 0.5068 - val_categorical_accuracy: 0.9010 - 404ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9781 - val_loss: 0.5035 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9780 - val_loss: 0.5405 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.1128 - categorical_accuracy: 0.9654 - val_loss: 0.4678 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9784 - val_loss: 0.4860 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.4894 - val_categorical_accuracy: 0.9059 - 430ms/epoch - 9ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9790 - val_loss: 0.5054 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9779 - val_loss: 0.4922 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9792 - val_loss: 0.4925 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9586 - val_loss: 0.4629 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9789 - val_loss: 0.4743 - val_categorical_accuracy: 0.9097 - 394ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9791 - val_loss: 0.5176 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9742 - val_loss: 0.5065 - val_categorical_accuracy: 0.9000 - 410ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9779 - val_loss: 0.5784 - val_categorical_accuracy: 0.8839 - 430ms/epoch - 9ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.1991 - categorical_accuracy: 0.9459 - val_loss: 0.4530 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9794 - val_loss: 0.4733 - val_categorical_accuracy: 0.9055 - 388ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9791 - val_loss: 0.4976 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9793 - val_loss: 0.5119 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9779 - val_loss: 0.4752 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9782 - val_loss: 0.4903 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.4908 - val_categorical_accuracy: 0.9092 - 420ms/epoch - 9ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9791 - val_loss: 0.4980 - val_categorical_accuracy: 0.9094 - 430ms/epoch - 9ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9792 - val_loss: 0.5236 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.5447 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9779 - val_loss: 0.5011 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9785 - val_loss: 0.5081 - val_categorical_accuracy: 0.9003 - 394ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.5255 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9778 - val_loss: 0.5192 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9553 - val_loss: 1.1725 - val_categorical_accuracy: 0.7457 - 420ms/epoch - 9ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.1139 - categorical_accuracy: 0.9636 - val_loss: 0.4921 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9790 - val_loss: 0.4703 - val_categorical_accuracy: 0.9109 - 398ms/epoch - 8ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9803 - val_loss: 0.4808 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9787 - val_loss: 0.4908 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9791 - val_loss: 0.4897 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9790 - val_loss: 0.4918 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9788 - val_loss: 0.5083 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9793 - val_loss: 0.5023 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9796 - val_loss: 0.5087 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9777 - val_loss: 0.5469 - val_categorical_accuracy: 0.8918 - 390ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9747 - val_loss: 0.5118 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9784 - val_loss: 0.5108 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9779 - val_loss: 0.5285 - val_categorical_accuracy: 0.8964 - 410ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9776 - val_loss: 0.5032 - val_categorical_accuracy: 0.9066 - 425ms/epoch - 9ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9801 - val_loss: 0.5592 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9784 - val_loss: 0.5223 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5471 - val_categorical_accuracy: 0.8967 - 400ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9783 - val_loss: 0.5570 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9778 - val_loss: 0.5483 - val_categorical_accuracy: 0.8962 - 410ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9768 - val_loss: 0.5454 - val_categorical_accuracy: 0.8990 - 430ms/epoch - 9ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9791 - val_loss: 0.5308 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.2730 - categorical_accuracy: 0.9307 - val_loss: 0.4453 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9765 - val_loss: 0.5049 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9782 - val_loss: 0.4924 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9794 - val_loss: 0.4764 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9800 - val_loss: 0.5208 - val_categorical_accuracy: 0.9022 - 410ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9785 - val_loss: 0.5252 - val_categorical_accuracy: 0.9014 - 430ms/epoch - 9ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9786 - val_loss: 0.5125 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9491 - val_loss: 0.4625 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9788 - val_loss: 0.5004 - val_categorical_accuracy: 0.9031 - 389ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9792 - val_loss: 0.5026 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9786 - val_loss: 0.4919 - val_categorical_accuracy: 0.9082 - 404ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9805 - val_loss: 0.4989 - val_categorical_accuracy: 0.9064 - 420ms/epoch - 9ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9804 - val_loss: 0.5428 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.2507 - categorical_accuracy: 0.9369 - val_loss: 0.4829 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9781 - val_loss: 0.5051 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9790 - val_loss: 0.4776 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9809 - val_loss: 0.4905 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5229 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9795 - val_loss: 0.5010 - val_categorical_accuracy: 0.9062 - 410ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9738 - val_loss: 0.8702 - val_categorical_accuracy: 0.8513 - 390ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9637 - val_loss: 0.4634 - val_categorical_accuracy: 0.9090 - 394ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.5115 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9786 - val_loss: 0.4863 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.4971 - val_categorical_accuracy: 0.9072 - 420ms/epoch - 9ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9787 - val_loss: 0.5266 - val_categorical_accuracy: 0.9004 - 430ms/epoch - 9ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9784 - val_loss: 0.5339 - val_categorical_accuracy: 0.8983 - 391ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9779 - val_loss: 0.5067 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.1302 - categorical_accuracy: 0.9603 - val_loss: 0.4820 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.4956 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9801 - val_loss: 0.5439 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9798 - val_loss: 0.5027 - val_categorical_accuracy: 0.9057 - 395ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.5082 - val_categorical_accuracy: 0.9061 - 420ms/epoch - 9ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9804 - val_loss: 0.5218 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9715 - val_loss: 0.5173 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9778 - val_loss: 0.5273 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9793 - val_loss: 0.5149 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9797 - val_loss: 0.5348 - val_categorical_accuracy: 0.8996 - 420ms/epoch - 9ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9795 - val_loss: 0.5342 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.1636 - categorical_accuracy: 0.9565 - val_loss: 0.8686 - val_categorical_accuracy: 0.7898 - 400ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9681 - val_loss: 0.4745 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9802 - val_loss: 0.4929 - val_categorical_accuracy: 0.9055 - 394ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9798 - val_loss: 0.4913 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5087 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9798 - val_loss: 0.5094 - val_categorical_accuracy: 0.9068 - 420ms/epoch - 9ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9788 - val_loss: 0.6208 - val_categorical_accuracy: 0.8820 - 390ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.1861 - categorical_accuracy: 0.9475 - val_loss: 0.5023 - val_categorical_accuracy: 0.9006 - 395ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9792 - val_loss: 0.4819 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9796 - val_loss: 0.5120 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.4952 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.4998 - val_categorical_accuracy: 0.9077 - 410ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9796 - val_loss: 0.5172 - val_categorical_accuracy: 0.9061 - 434ms/epoch - 9ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9807 - val_loss: 0.5379 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9796 - val_loss: 0.5199 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.5334 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.5218 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9791 - val_loss: 0.5725 - val_categorical_accuracy: 0.8952 - 395ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.2010 - categorical_accuracy: 0.9420 - val_loss: 0.4836 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9794 - val_loss: 0.5003 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9801 - val_loss: 0.5354 - val_categorical_accuracy: 0.8971 - 410ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9791 - val_loss: 0.5394 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.5115 - val_categorical_accuracy: 0.9046 - 410ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.5447 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9734 - val_loss: 0.5219 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.5155 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 1s - loss: 0.0533 - categorical_accuracy: 0.9808 - val_loss: 0.5200 - val_categorical_accuracy: 0.9043 - 555ms/epoch - 11ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9785 - val_loss: 0.5229 - val_categorical_accuracy: 0.9055 - 428ms/epoch - 9ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5280 - val_categorical_accuracy: 0.9039 - 440ms/epoch - 9ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9797 - val_loss: 0.5276 - val_categorical_accuracy: 0.9052 - 440ms/epoch - 9ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9763 - val_loss: 0.5229 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9804 - val_loss: 0.5366 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9787 - val_loss: 0.5267 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9800 - val_loss: 0.5359 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9781 - val_loss: 0.6569 - val_categorical_accuracy: 0.8732 - 400ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.1687 - categorical_accuracy: 0.9523 - val_loss: 0.4960 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9793 - val_loss: 0.5057 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.6044 - val_categorical_accuracy: 0.8835 - 390ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9771 - val_loss: 0.5429 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9801 - val_loss: 0.5446 - val_categorical_accuracy: 0.8947 - 400ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.5354 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9781 - val_loss: 0.5296 - val_categorical_accuracy: 0.9058 - 394ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9798 - val_loss: 0.5190 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9781 - val_loss: 0.5552 - val_categorical_accuracy: 0.8977 - 430ms/epoch - 9ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9794 - val_loss: 0.5435 - val_categorical_accuracy: 0.9037 - 430ms/epoch - 9ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9784 - val_loss: 0.5694 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9780 - val_loss: 0.5355 - val_categorical_accuracy: 0.9060 - 394ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9782 - val_loss: 0.5461 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9783 - val_loss: 0.5321 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.2605 - categorical_accuracy: 0.9433 - val_loss: 0.5098 - val_categorical_accuracy: 0.8573 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9653 - val_loss: 0.4960 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9799 - val_loss: 0.5025 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9804 - val_loss: 0.4987 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.5075 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9777 - val_loss: 0.5235 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5076 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.5430 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9804 - val_loss: 0.5304 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9794 - val_loss: 0.5351 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9790 - val_loss: 0.5982 - val_categorical_accuracy: 0.8905 - 400ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9776 - val_loss: 0.5394 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9795 - val_loss: 0.5299 - val_categorical_accuracy: 0.9052 - 395ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9802 - val_loss: 0.5298 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9801 - val_loss: 0.5582 - val_categorical_accuracy: 0.8988 - 410ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9765 - val_loss: 0.9816 - val_categorical_accuracy: 0.8454 - 430ms/epoch - 9ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.3811 - categorical_accuracy: 0.9131 - val_loss: 0.4563 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9773 - val_loss: 0.4763 - val_categorical_accuracy: 0.9062 - 394ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.5022 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.5200 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9799 - val_loss: 0.5050 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.5106 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5136 - val_categorical_accuracy: 0.9049 - 415ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9791 - val_loss: 0.5370 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9793 - val_loss: 0.5219 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9802 - val_loss: 0.5233 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9814 - val_loss: 0.5422 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9808 - val_loss: 0.5539 - val_categorical_accuracy: 0.9020 - 410ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9795 - val_loss: 0.5394 - val_categorical_accuracy: 0.9018 - 430ms/epoch - 9ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9791 - val_loss: 0.5723 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.1537 - categorical_accuracy: 0.9554 - val_loss: 0.4982 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9803 - val_loss: 0.5548 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9801 - val_loss: 0.5270 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9789 - val_loss: 0.5307 - val_categorical_accuracy: 0.9043 - 410ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9792 - val_loss: 0.5349 - val_categorical_accuracy: 0.9013 - 420ms/epoch - 9ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9775 - val_loss: 0.5280 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9808 - val_loss: 0.5265 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9796 - val_loss: 0.6359 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.1273 - categorical_accuracy: 0.9626 - val_loss: 0.5250 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9797 - val_loss: 0.5148 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.5148 - val_categorical_accuracy: 0.9087 - 420ms/epoch - 9ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.5270 - val_categorical_accuracy: 0.9055 - 440ms/epoch - 9ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9816 - val_loss: 0.5374 - val_categorical_accuracy: 0.9041 - 435ms/epoch - 9ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9796 - val_loss: 0.5354 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.5341 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9804 - val_loss: 0.5578 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9805 - val_loss: 0.5906 - val_categorical_accuracy: 0.8907 - 390ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.5408 - val_categorical_accuracy: 0.9055 - 395ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9809 - val_loss: 0.5535 - val_categorical_accuracy: 0.9020 - 389ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9809 - val_loss: 0.5412 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.2189 - categorical_accuracy: 0.9456 - val_loss: 0.5013 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.5232 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9809 - val_loss: 0.5247 - val_categorical_accuracy: 0.9044 - 395ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9805 - val_loss: 0.5837 - val_categorical_accuracy: 0.8935 - 395ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9749 - val_loss: 0.5402 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9801 - val_loss: 0.5682 - val_categorical_accuracy: 0.8928 - 386ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9794 - val_loss: 0.5445 - val_categorical_accuracy: 0.9030 - 430ms/epoch - 9ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.5486 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5380 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9797 - val_loss: 0.5891 - val_categorical_accuracy: 0.8906 - 390ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9692 - val_loss: 0.5522 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9806 - val_loss: 0.5716 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.3047 - categorical_accuracy: 0.9255 - val_loss: 0.4676 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9790 - val_loss: 0.4961 - val_categorical_accuracy: 0.9062 - 410ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9796 - val_loss: 0.5046 - val_categorical_accuracy: 0.9038 - 430ms/epoch - 9ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9803 - val_loss: 0.5107 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9813 - val_loss: 0.5217 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9803 - val_loss: 0.5260 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9807 - val_loss: 0.5320 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9800 - val_loss: 0.5475 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9800 - val_loss: 0.5324 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9808 - val_loss: 0.5814 - val_categorical_accuracy: 0.8960 - 410ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9791 - val_loss: 0.5721 - val_categorical_accuracy: 0.8970 - 430ms/epoch - 9ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9800 - val_loss: 0.5499 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.5610 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9811 - val_loss: 0.5763 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9796 - val_loss: 0.5402 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.1966 - categorical_accuracy: 0.9482 - val_loss: 0.4817 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9804 - val_loss: 0.5303 - val_categorical_accuracy: 0.8996 - 410ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9809 - val_loss: 0.5401 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9808 - val_loss: 0.5308 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9793 - val_loss: 0.5369 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5493 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9816 - val_loss: 0.5325 - val_categorical_accuracy: 0.9088 - 410ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.1812 - categorical_accuracy: 0.9501 - val_loss: 0.4816 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9799 - val_loss: 0.5166 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9806 - val_loss: 0.5355 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9815 - val_loss: 0.5467 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9816 - val_loss: 0.5203 - val_categorical_accuracy: 0.9075 - 420ms/epoch - 9ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9807 - val_loss: 0.5437 - val_categorical_accuracy: 0.9010 - 440ms/epoch - 9ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9796 - val_loss: 0.5499 - val_categorical_accuracy: 0.9044 - 430ms/epoch - 9ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9782 - val_loss: 0.5435 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9810 - val_loss: 0.5581 - val_categorical_accuracy: 0.9014 - 394ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9739 - val_loss: 0.5414 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9795 - val_loss: 0.5643 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.1454 - categorical_accuracy: 0.9587 - val_loss: 0.4987 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9783 - val_loss: 0.4975 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9804 - val_loss: 0.5277 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9818 - val_loss: 0.5728 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9778 - val_loss: 0.5648 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9805 - val_loss: 0.5418 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.5361 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9813 - val_loss: 0.5556 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9822 - val_loss: 0.5602 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9798 - val_loss: 0.5414 - val_categorical_accuracy: 0.9083 - 430ms/epoch - 9ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9796 - val_loss: 0.5828 - val_categorical_accuracy: 0.8950 - 430ms/epoch - 9ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9792 - val_loss: 0.5420 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9793 - val_loss: 0.6288 - val_categorical_accuracy: 0.8835 - 390ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9781 - val_loss: 0.5425 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9808 - val_loss: 0.5610 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5544 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9792 - val_loss: 0.5498 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5459 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9815 - val_loss: 0.5955 - val_categorical_accuracy: 0.9005 - 430ms/epoch - 9ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9514 - val_loss: 0.5054 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9812 - val_loss: 0.5357 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9819 - val_loss: 0.5477 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9808 - val_loss: 0.5608 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9799 - val_loss: 0.5569 - val_categorical_accuracy: 0.9043 - 420ms/epoch - 9ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9813 - val_loss: 0.5540 - val_categorical_accuracy: 0.9063 - 430ms/epoch - 9ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9813 - val_loss: 0.5821 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.1666 - categorical_accuracy: 0.9544 - val_loss: 0.5057 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9808 - val_loss: 0.5182 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9819 - val_loss: 0.5708 - val_categorical_accuracy: 0.8944 - 390ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5691 - val_categorical_accuracy: 0.8977 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9811 - val_loss: 0.5520 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9809 - val_loss: 0.5560 - val_categorical_accuracy: 0.9043 - 410ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.5534 - val_categorical_accuracy: 0.9043 - 434ms/epoch - 9ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9797 - val_loss: 0.5468 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9792 - val_loss: 0.5433 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5970 - val_categorical_accuracy: 0.8946 - 394ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9781 - val_loss: 0.5996 - val_categorical_accuracy: 0.8976 - 386ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.1997 - categorical_accuracy: 0.9492 - val_loss: 0.5083 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9808 - val_loss: 0.5284 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9819 - val_loss: 0.5204 - val_categorical_accuracy: 0.9077 - 410ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9822 - val_loss: 0.5779 - val_categorical_accuracy: 0.8992 - 440ms/epoch - 9ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9801 - val_loss: 0.5416 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9798 - val_loss: 0.5553 - val_categorical_accuracy: 0.9017 - 395ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9812 - val_loss: 0.5480 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9806 - val_loss: 0.5662 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9809 - val_loss: 0.5886 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.5583 - val_categorical_accuracy: 0.9053 - 420ms/epoch - 9ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9773 - val_loss: 0.6472 - val_categorical_accuracy: 0.8907 - 394ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9789 - val_loss: 0.5770 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9812 - val_loss: 0.5499 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9818 - val_loss: 0.5683 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9806 - val_loss: 0.5504 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9813 - val_loss: 0.5711 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9795 - val_loss: 0.5578 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9809 - val_loss: 0.6029 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9775 - val_loss: 0.5791 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9793 - val_loss: 0.5850 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9808 - val_loss: 0.5678 - val_categorical_accuracy: 0.9058 - 410ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9802 - val_loss: 0.5608 - val_categorical_accuracy: 0.9095 - 430ms/epoch - 9ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0495 - categorical_accuracy: 0.9817 - val_loss: 0.5915 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9814 - val_loss: 0.5726 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9817 - val_loss: 0.5755 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9808 - val_loss: 0.5917 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.2112 - categorical_accuracy: 0.9468 - val_loss: 0.5179 - val_categorical_accuracy: 0.8922 - 400ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9767 - val_loss: 0.5407 - val_categorical_accuracy: 0.9034 - 420ms/epoch - 9ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9806 - val_loss: 0.5669 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9810 - val_loss: 0.5475 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9812 - val_loss: 0.5662 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9810 - val_loss: 0.5667 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9814 - val_loss: 0.5645 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0478 - categorical_accuracy: 0.9828 - val_loss: 0.5782 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.5581 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.6101 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9802 - val_loss: 0.5811 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9807 - val_loss: 0.5859 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9806 - val_loss: 0.6197 - val_categorical_accuracy: 0.8911 - 410ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.2182 - categorical_accuracy: 0.9460 - val_loss: 0.5055 - val_categorical_accuracy: 0.9022 - 420ms/epoch - 9ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9813 - val_loss: 0.5245 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9820 - val_loss: 0.5410 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9819 - val_loss: 0.5558 - val_categorical_accuracy: 0.9019 - 410ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9818 - val_loss: 0.6003 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9794 - val_loss: 0.5855 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.1983 - categorical_accuracy: 0.9490 - val_loss: 0.5068 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9799 - val_loss: 0.5223 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9814 - val_loss: 0.5759 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9807 - val_loss: 0.5578 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9817 - val_loss: 0.5432 - val_categorical_accuracy: 0.9051 - 420ms/epoch - 9ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9803 - val_loss: 0.5518 - val_categorical_accuracy: 0.9049 - 410ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9812 - val_loss: 0.5547 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9817 - val_loss: 0.5789 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9795 - val_loss: 0.5989 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9792 - val_loss: 0.5865 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9787 - val_loss: 0.5796 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9806 - val_loss: 0.6278 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.1664 - categorical_accuracy: 0.9548 - val_loss: 0.5297 - val_categorical_accuracy: 0.9039 - 410ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9817 - val_loss: 0.5507 - val_categorical_accuracy: 0.9001 - 440ms/epoch - 9ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9820 - val_loss: 0.5429 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9788 - val_loss: 0.6554 - val_categorical_accuracy: 0.8803 - 390ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.1571 - categorical_accuracy: 0.9574 - val_loss: 0.5076 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9814 - val_loss: 0.5383 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9812 - val_loss: 0.5608 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9811 - val_loss: 0.5472 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.5572 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.5542 - val_categorical_accuracy: 0.9040 - 440ms/epoch - 9ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9808 - val_loss: 0.5673 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.2405 - categorical_accuracy: 0.9398 - val_loss: 0.5345 - val_categorical_accuracy: 0.8928 - 410ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9789 - val_loss: 0.5039 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9815 - val_loss: 0.5463 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9798 - val_loss: 0.5345 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9816 - val_loss: 0.5452 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9815 - val_loss: 0.5306 - val_categorical_accuracy: 0.9081 - 394ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9827 - val_loss: 0.6036 - val_categorical_accuracy: 0.8963 - 416ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9811 - val_loss: 0.5596 - val_categorical_accuracy: 0.9015 - 395ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0480 - categorical_accuracy: 0.9826 - val_loss: 0.5783 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.5469 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0486 - categorical_accuracy: 0.9819 - val_loss: 0.5596 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5654 - val_categorical_accuracy: 0.9051 - 420ms/epoch - 9ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.2226 - categorical_accuracy: 0.9466 - val_loss: 0.4912 - val_categorical_accuracy: 0.8937 - 430ms/epoch - 9ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9763 - val_loss: 0.5011 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9816 - val_loss: 0.5328 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9822 - val_loss: 0.5500 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9824 - val_loss: 0.5546 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9818 - val_loss: 0.5361 - val_categorical_accuracy: 0.9112 - 385ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0479 - categorical_accuracy: 0.9827 - val_loss: 0.5828 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9793 - val_loss: 0.5681 - val_categorical_accuracy: 0.9044 - 420ms/epoch - 9ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.6022 - val_categorical_accuracy: 0.8999 - 430ms/epoch - 9ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.1859 - categorical_accuracy: 0.9528 - val_loss: 0.5056 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9823 - val_loss: 0.5211 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0492 - categorical_accuracy: 0.9822 - val_loss: 0.5207 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9817 - val_loss: 0.5426 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
processing fold # 6 
Epoch 1/1500
49/49 - 1s - loss: 1.9082 - categorical_accuracy: 0.3521 - val_loss: 1.8788 - val_categorical_accuracy: 0.3599 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8586 - categorical_accuracy: 0.3641 - val_loss: 1.8460 - val_categorical_accuracy: 0.3599 - 450ms/epoch - 9ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8122 - categorical_accuracy: 0.3641 - val_loss: 1.7832 - val_categorical_accuracy: 0.3604 - 390ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7591 - categorical_accuracy: 0.3848 - val_loss: 1.7117 - val_categorical_accuracy: 0.4147 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.7023 - categorical_accuracy: 0.4090 - val_loss: 1.6622 - val_categorical_accuracy: 0.4126 - 390ms/epoch - 8ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.6397 - categorical_accuracy: 0.4286 - val_loss: 1.5825 - val_categorical_accuracy: 0.4404 - 400ms/epoch - 8ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5585 - categorical_accuracy: 0.4632 - val_loss: 1.7863 - val_categorical_accuracy: 0.3984 - 400ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.5095 - categorical_accuracy: 0.4842 - val_loss: 1.6563 - val_categorical_accuracy: 0.4116 - 400ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.4630 - categorical_accuracy: 0.4967 - val_loss: 1.3895 - val_categorical_accuracy: 0.5147 - 390ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3988 - categorical_accuracy: 0.5194 - val_loss: 1.3466 - val_categorical_accuracy: 0.5369 - 400ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3663 - categorical_accuracy: 0.5271 - val_loss: 1.2824 - val_categorical_accuracy: 0.5513 - 390ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.3169 - categorical_accuracy: 0.5402 - val_loss: 1.3062 - val_categorical_accuracy: 0.5349 - 390ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2808 - categorical_accuracy: 0.5502 - val_loss: 1.2503 - val_categorical_accuracy: 0.5591 - 400ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2468 - categorical_accuracy: 0.5582 - val_loss: 1.1925 - val_categorical_accuracy: 0.5818 - 390ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.2155 - categorical_accuracy: 0.5674 - val_loss: 1.2558 - val_categorical_accuracy: 0.5634 - 390ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1939 - categorical_accuracy: 0.5723 - val_loss: 1.2694 - val_categorical_accuracy: 0.5473 - 390ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1594 - categorical_accuracy: 0.5843 - val_loss: 1.1155 - val_categorical_accuracy: 0.6039 - 410ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1387 - categorical_accuracy: 0.5909 - val_loss: 1.1394 - val_categorical_accuracy: 0.5788 - 440ms/epoch - 9ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.1007 - categorical_accuracy: 0.6036 - val_loss: 1.3623 - val_categorical_accuracy: 0.5059 - 400ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0827 - categorical_accuracy: 0.6085 - val_loss: 1.0590 - val_categorical_accuracy: 0.6136 - 390ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0681 - categorical_accuracy: 0.6124 - val_loss: 1.0502 - val_categorical_accuracy: 0.6294 - 390ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0721 - categorical_accuracy: 0.6165 - val_loss: 1.0929 - val_categorical_accuracy: 0.6103 - 390ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 1.0146 - categorical_accuracy: 0.6316 - val_loss: 0.9866 - val_categorical_accuracy: 0.6474 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9962 - categorical_accuracy: 0.6393 - val_loss: 0.9959 - val_categorical_accuracy: 0.6361 - 400ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 1.0218 - categorical_accuracy: 0.6365 - val_loss: 0.9381 - val_categorical_accuracy: 0.6692 - 390ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9544 - categorical_accuracy: 0.6544 - val_loss: 0.9034 - val_categorical_accuracy: 0.6747 - 420ms/epoch - 9ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9919 - categorical_accuracy: 0.6477 - val_loss: 0.8792 - val_categorical_accuracy: 0.6828 - 390ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9263 - categorical_accuracy: 0.6662 - val_loss: 0.9985 - val_categorical_accuracy: 0.6511 - 400ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9362 - categorical_accuracy: 0.6587 - val_loss: 0.9697 - val_categorical_accuracy: 0.6488 - 390ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.8929 - categorical_accuracy: 0.6746 - val_loss: 1.0559 - val_categorical_accuracy: 0.6114 - 390ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8813 - categorical_accuracy: 0.6785 - val_loss: 0.8594 - val_categorical_accuracy: 0.6840 - 410ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8667 - categorical_accuracy: 0.6849 - val_loss: 0.8500 - val_categorical_accuracy: 0.6909 - 430ms/epoch - 9ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.9299 - categorical_accuracy: 0.6694 - val_loss: 0.9037 - val_categorical_accuracy: 0.6652 - 400ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.9602 - categorical_accuracy: 0.6588 - val_loss: 1.0004 - val_categorical_accuracy: 0.6489 - 400ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8280 - categorical_accuracy: 0.6972 - val_loss: 0.9484 - val_categorical_accuracy: 0.6679 - 394ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.8252 - categorical_accuracy: 0.6958 - val_loss: 0.8152 - val_categorical_accuracy: 0.6996 - 390ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.7998 - categorical_accuracy: 0.7036 - val_loss: 0.8331 - val_categorical_accuracy: 0.6938 - 390ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.8524 - categorical_accuracy: 0.6850 - val_loss: 0.8687 - val_categorical_accuracy: 0.6788 - 400ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.7722 - categorical_accuracy: 0.7115 - val_loss: 0.7729 - val_categorical_accuracy: 0.7116 - 410ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7934 - categorical_accuracy: 0.7051 - val_loss: 0.7355 - val_categorical_accuracy: 0.7275 - 430ms/epoch - 9ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7691 - categorical_accuracy: 0.7112 - val_loss: 0.7766 - val_categorical_accuracy: 0.7069 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7556 - categorical_accuracy: 0.7168 - val_loss: 0.7716 - val_categorical_accuracy: 0.7180 - 400ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.9218 - categorical_accuracy: 0.6791 - val_loss: 0.7368 - val_categorical_accuracy: 0.7274 - 400ms/epoch - 8ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7510 - categorical_accuracy: 0.7196 - val_loss: 0.7251 - val_categorical_accuracy: 0.7315 - 390ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7226 - categorical_accuracy: 0.7275 - val_loss: 0.7532 - val_categorical_accuracy: 0.7184 - 394ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7338 - categorical_accuracy: 0.7244 - val_loss: 0.7412 - val_categorical_accuracy: 0.7205 - 390ms/epoch - 8ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7109 - categorical_accuracy: 0.7317 - val_loss: 0.7540 - val_categorical_accuracy: 0.7144 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7240 - categorical_accuracy: 0.7274 - val_loss: 0.7105 - val_categorical_accuracy: 0.7274 - 390ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.9060 - categorical_accuracy: 0.6824 - val_loss: 0.8047 - val_categorical_accuracy: 0.7128 - 420ms/epoch - 9ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.6847 - categorical_accuracy: 0.7465 - val_loss: 0.6830 - val_categorical_accuracy: 0.7523 - 425ms/epoch - 9ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.7058 - categorical_accuracy: 0.7359 - val_loss: 0.7784 - val_categorical_accuracy: 0.7021 - 400ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.6683 - categorical_accuracy: 0.7479 - val_loss: 0.7167 - val_categorical_accuracy: 0.7335 - 400ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6824 - categorical_accuracy: 0.7407 - val_loss: 0.8865 - val_categorical_accuracy: 0.6860 - 394ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6788 - categorical_accuracy: 0.7477 - val_loss: 0.6516 - val_categorical_accuracy: 0.7572 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6522 - categorical_accuracy: 0.7524 - val_loss: 0.7069 - val_categorical_accuracy: 0.7411 - 400ms/epoch - 8ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6655 - categorical_accuracy: 0.7491 - val_loss: 0.6871 - val_categorical_accuracy: 0.7432 - 390ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6622 - categorical_accuracy: 0.7508 - val_loss: 0.6201 - val_categorical_accuracy: 0.7749 - 400ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6356 - categorical_accuracy: 0.7588 - val_loss: 0.6158 - val_categorical_accuracy: 0.7678 - 390ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6969 - categorical_accuracy: 0.7456 - val_loss: 0.6820 - val_categorical_accuracy: 0.7459 - 410ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6421 - categorical_accuracy: 0.7581 - val_loss: 0.6768 - val_categorical_accuracy: 0.7483 - 390ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.7180 - categorical_accuracy: 0.7373 - val_loss: 0.6266 - val_categorical_accuracy: 0.7722 - 390ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6085 - categorical_accuracy: 0.7719 - val_loss: 0.6842 - val_categorical_accuracy: 0.7524 - 390ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6316 - categorical_accuracy: 0.7630 - val_loss: 0.6510 - val_categorical_accuracy: 0.7491 - 390ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6243 - categorical_accuracy: 0.7678 - val_loss: 0.6079 - val_categorical_accuracy: 0.7791 - 410ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6078 - categorical_accuracy: 0.7706 - val_loss: 0.6872 - val_categorical_accuracy: 0.7253 - 450ms/epoch - 9ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6055 - categorical_accuracy: 0.7707 - val_loss: 0.6097 - val_categorical_accuracy: 0.7734 - 430ms/epoch - 9ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.8189 - categorical_accuracy: 0.7212 - val_loss: 1.1411 - val_categorical_accuracy: 0.5899 - 390ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.7036 - categorical_accuracy: 0.7414 - val_loss: 0.6349 - val_categorical_accuracy: 0.7617 - 390ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.5944 - categorical_accuracy: 0.7761 - val_loss: 0.6270 - val_categorical_accuracy: 0.7664 - 390ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.7209 - categorical_accuracy: 0.7442 - val_loss: 0.5903 - val_categorical_accuracy: 0.7850 - 390ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5827 - categorical_accuracy: 0.7814 - val_loss: 0.5895 - val_categorical_accuracy: 0.7810 - 390ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5617 - categorical_accuracy: 0.7875 - val_loss: 0.5772 - val_categorical_accuracy: 0.7824 - 390ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5826 - categorical_accuracy: 0.7809 - val_loss: 0.5868 - val_categorical_accuracy: 0.7831 - 400ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5569 - categorical_accuracy: 0.7890 - val_loss: 0.6637 - val_categorical_accuracy: 0.7569 - 390ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.6325 - categorical_accuracy: 0.7725 - val_loss: 0.6327 - val_categorical_accuracy: 0.7677 - 404ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5620 - categorical_accuracy: 0.7870 - val_loss: 0.5785 - val_categorical_accuracy: 0.7804 - 420ms/epoch - 9ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5602 - categorical_accuracy: 0.7881 - val_loss: 0.5963 - val_categorical_accuracy: 0.7762 - 390ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.6568 - categorical_accuracy: 0.7660 - val_loss: 0.5427 - val_categorical_accuracy: 0.7978 - 390ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5429 - categorical_accuracy: 0.7968 - val_loss: 0.5947 - val_categorical_accuracy: 0.7800 - 400ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5440 - categorical_accuracy: 0.7945 - val_loss: 0.5582 - val_categorical_accuracy: 0.7939 - 400ms/epoch - 8ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5617 - categorical_accuracy: 0.7901 - val_loss: 0.5551 - val_categorical_accuracy: 0.7964 - 430ms/epoch - 9ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5536 - categorical_accuracy: 0.7909 - val_loss: 0.5258 - val_categorical_accuracy: 0.8045 - 390ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5291 - categorical_accuracy: 0.8011 - val_loss: 0.5396 - val_categorical_accuracy: 0.8040 - 400ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5310 - categorical_accuracy: 0.8015 - val_loss: 0.5843 - val_categorical_accuracy: 0.7822 - 390ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5345 - categorical_accuracy: 0.7984 - val_loss: 0.5339 - val_categorical_accuracy: 0.8009 - 390ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5178 - categorical_accuracy: 0.8053 - val_loss: 0.5951 - val_categorical_accuracy: 0.7707 - 400ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5285 - categorical_accuracy: 0.8033 - val_loss: 0.5257 - val_categorical_accuracy: 0.8064 - 410ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5144 - categorical_accuracy: 0.8072 - val_loss: 0.5123 - val_categorical_accuracy: 0.8065 - 400ms/epoch - 8ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.6445 - categorical_accuracy: 0.7686 - val_loss: 0.5460 - val_categorical_accuracy: 0.8029 - 400ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5017 - categorical_accuracy: 0.8150 - val_loss: 0.4997 - val_categorical_accuracy: 0.8190 - 400ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5044 - categorical_accuracy: 0.8112 - val_loss: 0.5181 - val_categorical_accuracy: 0.8077 - 390ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5049 - categorical_accuracy: 0.8115 - val_loss: 0.5065 - val_categorical_accuracy: 0.8147 - 420ms/epoch - 9ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.5494 - categorical_accuracy: 0.7985 - val_loss: 0.5147 - val_categorical_accuracy: 0.8106 - 390ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4886 - categorical_accuracy: 0.8184 - val_loss: 0.5681 - val_categorical_accuracy: 0.7837 - 390ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4936 - categorical_accuracy: 0.8162 - val_loss: 0.5058 - val_categorical_accuracy: 0.8140 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.4898 - categorical_accuracy: 0.8157 - val_loss: 0.5289 - val_categorical_accuracy: 0.8035 - 390ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.5003 - categorical_accuracy: 0.8137 - val_loss: 0.5034 - val_categorical_accuracy: 0.8152 - 420ms/epoch - 9ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4918 - categorical_accuracy: 0.8154 - val_loss: 0.5228 - val_categorical_accuracy: 0.8081 - 430ms/epoch - 9ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.7613 - categorical_accuracy: 0.7520 - val_loss: 0.6951 - val_categorical_accuracy: 0.7596 - 390ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4865 - categorical_accuracy: 0.8238 - val_loss: 0.5130 - val_categorical_accuracy: 0.8133 - 390ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4868 - categorical_accuracy: 0.8170 - val_loss: 0.6437 - val_categorical_accuracy: 0.7623 - 390ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4785 - categorical_accuracy: 0.8218 - val_loss: 0.4907 - val_categorical_accuracy: 0.8216 - 400ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4831 - categorical_accuracy: 0.8202 - val_loss: 0.5110 - val_categorical_accuracy: 0.8096 - 390ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4755 - categorical_accuracy: 0.8226 - val_loss: 0.5002 - val_categorical_accuracy: 0.8178 - 420ms/epoch - 9ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4592 - categorical_accuracy: 0.8287 - val_loss: 0.5204 - val_categorical_accuracy: 0.8080 - 390ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4611 - categorical_accuracy: 0.8278 - val_loss: 0.5617 - val_categorical_accuracy: 0.7942 - 400ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.5586 - categorical_accuracy: 0.7995 - val_loss: 0.5056 - val_categorical_accuracy: 0.8154 - 400ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4559 - categorical_accuracy: 0.8290 - val_loss: 0.4858 - val_categorical_accuracy: 0.8177 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4614 - categorical_accuracy: 0.8272 - val_loss: 0.4963 - val_categorical_accuracy: 0.8180 - 420ms/epoch - 9ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4714 - categorical_accuracy: 0.8254 - val_loss: 0.4802 - val_categorical_accuracy: 0.8254 - 390ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4452 - categorical_accuracy: 0.8350 - val_loss: 0.5810 - val_categorical_accuracy: 0.7850 - 390ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4645 - categorical_accuracy: 0.8267 - val_loss: 0.5622 - val_categorical_accuracy: 0.8003 - 400ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4393 - categorical_accuracy: 0.8357 - val_loss: 0.4997 - val_categorical_accuracy: 0.8142 - 400ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4427 - categorical_accuracy: 0.8355 - val_loss: 0.6262 - val_categorical_accuracy: 0.7866 - 390ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.5037 - categorical_accuracy: 0.8186 - val_loss: 1.3428 - val_categorical_accuracy: 0.6092 - 410ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4741 - categorical_accuracy: 0.8283 - val_loss: 0.5442 - val_categorical_accuracy: 0.8023 - 400ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4510 - categorical_accuracy: 0.8322 - val_loss: 0.4639 - val_categorical_accuracy: 0.8291 - 400ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4367 - categorical_accuracy: 0.8375 - val_loss: 0.5616 - val_categorical_accuracy: 0.7795 - 400ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4466 - categorical_accuracy: 0.8353 - val_loss: 0.4499 - val_categorical_accuracy: 0.8359 - 400ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4745 - categorical_accuracy: 0.8321 - val_loss: 0.4850 - val_categorical_accuracy: 0.8142 - 430ms/epoch - 9ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4249 - categorical_accuracy: 0.8408 - val_loss: 0.4686 - val_categorical_accuracy: 0.8283 - 400ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4336 - categorical_accuracy: 0.8388 - val_loss: 0.4482 - val_categorical_accuracy: 0.8362 - 388ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4248 - categorical_accuracy: 0.8423 - val_loss: 0.5139 - val_categorical_accuracy: 0.8109 - 390ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4346 - categorical_accuracy: 0.8388 - val_loss: 0.5092 - val_categorical_accuracy: 0.8160 - 399ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4258 - categorical_accuracy: 0.8423 - val_loss: 0.5511 - val_categorical_accuracy: 0.8044 - 390ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.6575 - categorical_accuracy: 0.7855 - val_loss: 0.6975 - val_categorical_accuracy: 0.7500 - 395ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4347 - categorical_accuracy: 0.8438 - val_loss: 0.4980 - val_categorical_accuracy: 0.8193 - 410ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4148 - categorical_accuracy: 0.8486 - val_loss: 0.5830 - val_categorical_accuracy: 0.7901 - 404ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4191 - categorical_accuracy: 0.8435 - val_loss: 0.4462 - val_categorical_accuracy: 0.8371 - 396ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4099 - categorical_accuracy: 0.8480 - val_loss: 0.4340 - val_categorical_accuracy: 0.8412 - 390ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.3952 - categorical_accuracy: 0.8539 - val_loss: 0.5016 - val_categorical_accuracy: 0.8063 - 400ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4243 - categorical_accuracy: 0.8425 - val_loss: 0.5248 - val_categorical_accuracy: 0.8121 - 410ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.6110 - categorical_accuracy: 0.8035 - val_loss: 0.4505 - val_categorical_accuracy: 0.8377 - 390ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4021 - categorical_accuracy: 0.8506 - val_loss: 0.4184 - val_categorical_accuracy: 0.8481 - 390ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.4136 - categorical_accuracy: 0.8474 - val_loss: 0.4776 - val_categorical_accuracy: 0.8277 - 400ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.3955 - categorical_accuracy: 0.8536 - val_loss: 0.4746 - val_categorical_accuracy: 0.8261 - 420ms/epoch - 9ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.3952 - categorical_accuracy: 0.8535 - val_loss: 0.4445 - val_categorical_accuracy: 0.8387 - 420ms/epoch - 9ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.3919 - categorical_accuracy: 0.8552 - val_loss: 1.2004 - val_categorical_accuracy: 0.6113 - 390ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.4920 - categorical_accuracy: 0.8280 - val_loss: 0.4551 - val_categorical_accuracy: 0.8288 - 390ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.3907 - categorical_accuracy: 0.8567 - val_loss: 0.4483 - val_categorical_accuracy: 0.8365 - 390ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3871 - categorical_accuracy: 0.8570 - val_loss: 0.4189 - val_categorical_accuracy: 0.8459 - 390ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3924 - categorical_accuracy: 0.8556 - val_loss: 0.5943 - val_categorical_accuracy: 0.7916 - 390ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3855 - categorical_accuracy: 0.8585 - val_loss: 0.4623 - val_categorical_accuracy: 0.8339 - 410ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3736 - categorical_accuracy: 0.8627 - val_loss: 0.4167 - val_categorical_accuracy: 0.8491 - 440ms/epoch - 9ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.4646 - categorical_accuracy: 0.8391 - val_loss: 0.4192 - val_categorical_accuracy: 0.8463 - 390ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3742 - categorical_accuracy: 0.8635 - val_loss: 0.4327 - val_categorical_accuracy: 0.8398 - 390ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3870 - categorical_accuracy: 0.8577 - val_loss: 0.4401 - val_categorical_accuracy: 0.8389 - 390ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3735 - categorical_accuracy: 0.8611 - val_loss: 0.4597 - val_categorical_accuracy: 0.8347 - 390ms/epoch - 8ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.4154 - categorical_accuracy: 0.8488 - val_loss: 0.4036 - val_categorical_accuracy: 0.8559 - 390ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3714 - categorical_accuracy: 0.8624 - val_loss: 0.4523 - val_categorical_accuracy: 0.8359 - 410ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3835 - categorical_accuracy: 0.8603 - val_loss: 0.4756 - val_categorical_accuracy: 0.8194 - 430ms/epoch - 9ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3721 - categorical_accuracy: 0.8623 - val_loss: 0.4053 - val_categorical_accuracy: 0.8514 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3673 - categorical_accuracy: 0.8651 - val_loss: 0.4789 - val_categorical_accuracy: 0.8322 - 390ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3721 - categorical_accuracy: 0.8634 - val_loss: 0.3897 - val_categorical_accuracy: 0.8573 - 390ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3634 - categorical_accuracy: 0.8668 - val_loss: 0.4229 - val_categorical_accuracy: 0.8485 - 390ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3657 - categorical_accuracy: 0.8657 - val_loss: 0.4099 - val_categorical_accuracy: 0.8502 - 390ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3600 - categorical_accuracy: 0.8666 - val_loss: 0.4414 - val_categorical_accuracy: 0.8387 - 410ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.6291 - categorical_accuracy: 0.8040 - val_loss: 0.3977 - val_categorical_accuracy: 0.8576 - 430ms/epoch - 9ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3534 - categorical_accuracy: 0.8718 - val_loss: 0.3837 - val_categorical_accuracy: 0.8602 - 400ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3528 - categorical_accuracy: 0.8703 - val_loss: 0.4102 - val_categorical_accuracy: 0.8499 - 400ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3744 - categorical_accuracy: 0.8638 - val_loss: 0.4203 - val_categorical_accuracy: 0.8457 - 390ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3560 - categorical_accuracy: 0.8682 - val_loss: 0.4760 - val_categorical_accuracy: 0.8327 - 400ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3524 - categorical_accuracy: 0.8689 - val_loss: 0.4613 - val_categorical_accuracy: 0.8292 - 400ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 1s - loss: 0.3506 - categorical_accuracy: 0.8700 - val_loss: 0.5065 - val_categorical_accuracy: 0.8009 - 560ms/epoch - 11ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3666 - categorical_accuracy: 0.8666 - val_loss: 0.3774 - val_categorical_accuracy: 0.8653 - 430ms/epoch - 9ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3536 - categorical_accuracy: 0.8686 - val_loss: 0.4419 - val_categorical_accuracy: 0.8346 - 430ms/epoch - 9ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3401 - categorical_accuracy: 0.8757 - val_loss: 0.4527 - val_categorical_accuracy: 0.8422 - 410ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3507 - categorical_accuracy: 0.8717 - val_loss: 0.3881 - val_categorical_accuracy: 0.8618 - 400ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3463 - categorical_accuracy: 0.8724 - val_loss: 0.4376 - val_categorical_accuracy: 0.8441 - 390ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3443 - categorical_accuracy: 0.8732 - val_loss: 0.4421 - val_categorical_accuracy: 0.8414 - 394ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3371 - categorical_accuracy: 0.8766 - val_loss: 0.4977 - val_categorical_accuracy: 0.8289 - 390ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 1.1804 - categorical_accuracy: 0.6516 - val_loss: 0.6392 - val_categorical_accuracy: 0.7686 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.4226 - categorical_accuracy: 0.8502 - val_loss: 0.4231 - val_categorical_accuracy: 0.8491 - 400ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3502 - categorical_accuracy: 0.8734 - val_loss: 0.3964 - val_categorical_accuracy: 0.8572 - 390ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3391 - categorical_accuracy: 0.8765 - val_loss: 0.3998 - val_categorical_accuracy: 0.8550 - 410ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3379 - categorical_accuracy: 0.8784 - val_loss: 0.4552 - val_categorical_accuracy: 0.8307 - 420ms/epoch - 9ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3558 - categorical_accuracy: 0.8703 - val_loss: 0.3821 - val_categorical_accuracy: 0.8616 - 390ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3195 - categorical_accuracy: 0.8839 - val_loss: 0.4628 - val_categorical_accuracy: 0.8340 - 400ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3294 - categorical_accuracy: 0.8788 - val_loss: 0.3940 - val_categorical_accuracy: 0.8589 - 390ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3587 - categorical_accuracy: 0.8702 - val_loss: 0.3860 - val_categorical_accuracy: 0.8611 - 390ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3364 - categorical_accuracy: 0.8758 - val_loss: 0.4795 - val_categorical_accuracy: 0.8291 - 390ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3394 - categorical_accuracy: 0.8753 - val_loss: 0.4166 - val_categorical_accuracy: 0.8489 - 400ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3226 - categorical_accuracy: 0.8824 - val_loss: 0.3915 - val_categorical_accuracy: 0.8583 - 390ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3308 - categorical_accuracy: 0.8804 - val_loss: 0.3581 - val_categorical_accuracy: 0.8725 - 410ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3220 - categorical_accuracy: 0.8827 - val_loss: 0.5064 - val_categorical_accuracy: 0.8233 - 420ms/epoch - 9ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3280 - categorical_accuracy: 0.8788 - val_loss: 0.3806 - val_categorical_accuracy: 0.8656 - 390ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3438 - categorical_accuracy: 0.8766 - val_loss: 0.5723 - val_categorical_accuracy: 0.8008 - 390ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3130 - categorical_accuracy: 0.8880 - val_loss: 0.4064 - val_categorical_accuracy: 0.8534 - 390ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3233 - categorical_accuracy: 0.8812 - val_loss: 0.4318 - val_categorical_accuracy: 0.8496 - 390ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3195 - categorical_accuracy: 0.8831 - val_loss: 0.3778 - val_categorical_accuracy: 0.8649 - 420ms/epoch - 9ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3181 - categorical_accuracy: 0.8846 - val_loss: 0.4943 - val_categorical_accuracy: 0.8271 - 440ms/epoch - 9ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3263 - categorical_accuracy: 0.8834 - val_loss: 0.3798 - val_categorical_accuracy: 0.8647 - 400ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3100 - categorical_accuracy: 0.8873 - val_loss: 0.3517 - val_categorical_accuracy: 0.8781 - 390ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3062 - categorical_accuracy: 0.8887 - val_loss: 0.4239 - val_categorical_accuracy: 0.8506 - 400ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3211 - categorical_accuracy: 0.8820 - val_loss: 0.3466 - val_categorical_accuracy: 0.8771 - 394ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.3013 - categorical_accuracy: 0.8906 - val_loss: 0.4183 - val_categorical_accuracy: 0.8536 - 390ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3088 - categorical_accuracy: 0.8874 - val_loss: 0.4219 - val_categorical_accuracy: 0.8526 - 390ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.3075 - categorical_accuracy: 0.8884 - val_loss: 0.4017 - val_categorical_accuracy: 0.8496 - 400ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.3135 - categorical_accuracy: 0.8846 - val_loss: 0.3891 - val_categorical_accuracy: 0.8603 - 410ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.3083 - categorical_accuracy: 0.8857 - val_loss: 0.4542 - val_categorical_accuracy: 0.8376 - 390ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3024 - categorical_accuracy: 0.8901 - val_loss: 0.4973 - val_categorical_accuracy: 0.8222 - 390ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.3171 - categorical_accuracy: 0.8862 - val_loss: 0.9672 - val_categorical_accuracy: 0.7478 - 390ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.3330 - categorical_accuracy: 0.8826 - val_loss: 0.3904 - val_categorical_accuracy: 0.8636 - 394ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2844 - categorical_accuracy: 0.8977 - val_loss: 0.4162 - val_categorical_accuracy: 0.8474 - 410ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.3037 - categorical_accuracy: 0.8895 - val_loss: 0.4213 - val_categorical_accuracy: 0.8520 - 430ms/epoch - 9ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2976 - categorical_accuracy: 0.8911 - val_loss: 0.5535 - val_categorical_accuracy: 0.7987 - 400ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.2888 - categorical_accuracy: 0.8970 - val_loss: 0.3522 - val_categorical_accuracy: 0.8751 - 390ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.3143 - categorical_accuracy: 0.8866 - val_loss: 0.3648 - val_categorical_accuracy: 0.8700 - 390ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.3015 - categorical_accuracy: 0.8894 - val_loss: 0.7270 - val_categorical_accuracy: 0.7616 - 400ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.3844 - categorical_accuracy: 0.8743 - val_loss: 0.3968 - val_categorical_accuracy: 0.8597 - 390ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2969 - categorical_accuracy: 0.8915 - val_loss: 0.5218 - val_categorical_accuracy: 0.8189 - 420ms/epoch - 9ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2826 - categorical_accuracy: 0.8975 - val_loss: 0.4029 - val_categorical_accuracy: 0.8544 - 430ms/epoch - 9ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2839 - categorical_accuracy: 0.8961 - val_loss: 0.4019 - val_categorical_accuracy: 0.8555 - 390ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.3429 - categorical_accuracy: 0.8786 - val_loss: 0.3458 - val_categorical_accuracy: 0.8811 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2882 - categorical_accuracy: 0.8957 - val_loss: 0.3483 - val_categorical_accuracy: 0.8789 - 394ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2745 - categorical_accuracy: 0.9009 - val_loss: 0.3719 - val_categorical_accuracy: 0.8678 - 390ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2870 - categorical_accuracy: 0.8952 - val_loss: 0.3590 - val_categorical_accuracy: 0.8719 - 390ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2945 - categorical_accuracy: 0.8926 - val_loss: 0.3477 - val_categorical_accuracy: 0.8793 - 390ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2953 - categorical_accuracy: 0.8946 - val_loss: 0.3788 - val_categorical_accuracy: 0.8686 - 420ms/epoch - 9ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2783 - categorical_accuracy: 0.8995 - val_loss: 0.5367 - val_categorical_accuracy: 0.8348 - 430ms/epoch - 9ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2867 - categorical_accuracy: 0.8975 - val_loss: 0.3748 - val_categorical_accuracy: 0.8674 - 390ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2736 - categorical_accuracy: 0.9011 - val_loss: 0.5030 - val_categorical_accuracy: 0.8335 - 390ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2851 - categorical_accuracy: 0.8967 - val_loss: 0.3926 - val_categorical_accuracy: 0.8618 - 400ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2716 - categorical_accuracy: 0.9024 - val_loss: 0.3884 - val_categorical_accuracy: 0.8665 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2876 - categorical_accuracy: 0.8956 - val_loss: 0.4628 - val_categorical_accuracy: 0.8358 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.3642 - categorical_accuracy: 0.8807 - val_loss: 0.3567 - val_categorical_accuracy: 0.8735 - 410ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2684 - categorical_accuracy: 0.9029 - val_loss: 0.3602 - val_categorical_accuracy: 0.8707 - 390ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2755 - categorical_accuracy: 0.8995 - val_loss: 0.4078 - val_categorical_accuracy: 0.8491 - 390ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2646 - categorical_accuracy: 0.9035 - val_loss: 0.3517 - val_categorical_accuracy: 0.8812 - 400ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2721 - categorical_accuracy: 0.9010 - val_loss: 0.5147 - val_categorical_accuracy: 0.8119 - 400ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2747 - categorical_accuracy: 0.9006 - val_loss: 0.3446 - val_categorical_accuracy: 0.8813 - 416ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2652 - categorical_accuracy: 0.9062 - val_loss: 0.3766 - val_categorical_accuracy: 0.8728 - 430ms/epoch - 9ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2705 - categorical_accuracy: 0.9019 - val_loss: 0.3519 - val_categorical_accuracy: 0.8770 - 400ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.3178 - categorical_accuracy: 0.8907 - val_loss: 0.3587 - val_categorical_accuracy: 0.8756 - 400ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2569 - categorical_accuracy: 0.9087 - val_loss: 0.4558 - val_categorical_accuracy: 0.8475 - 394ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2670 - categorical_accuracy: 0.9047 - val_loss: 0.3382 - val_categorical_accuracy: 0.8849 - 390ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9023 - val_loss: 0.3596 - val_categorical_accuracy: 0.8788 - 390ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2764 - categorical_accuracy: 0.9027 - val_loss: 0.3965 - val_categorical_accuracy: 0.8569 - 390ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2657 - categorical_accuracy: 0.9035 - val_loss: 0.4616 - val_categorical_accuracy: 0.8394 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2676 - categorical_accuracy: 0.9025 - val_loss: 0.3373 - val_categorical_accuracy: 0.8829 - 414ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2580 - categorical_accuracy: 0.9059 - val_loss: 0.4089 - val_categorical_accuracy: 0.8562 - 430ms/epoch - 9ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2519 - categorical_accuracy: 0.9087 - val_loss: 0.3755 - val_categorical_accuracy: 0.8731 - 400ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.5158 - categorical_accuracy: 0.8477 - val_loss: 0.3441 - val_categorical_accuracy: 0.8802 - 390ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2387 - categorical_accuracy: 0.9155 - val_loss: 0.3260 - val_categorical_accuracy: 0.8875 - 400ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2597 - categorical_accuracy: 0.9066 - val_loss: 0.3360 - val_categorical_accuracy: 0.8863 - 404ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2578 - categorical_accuracy: 0.9080 - val_loss: 0.3478 - val_categorical_accuracy: 0.8796 - 390ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2551 - categorical_accuracy: 0.9072 - val_loss: 0.3343 - val_categorical_accuracy: 0.8850 - 400ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2645 - categorical_accuracy: 0.9042 - val_loss: 0.3437 - val_categorical_accuracy: 0.8845 - 390ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2602 - categorical_accuracy: 0.9062 - val_loss: 0.3319 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9019 - val_loss: 0.4409 - val_categorical_accuracy: 0.8491 - 394ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2693 - categorical_accuracy: 0.9066 - val_loss: 0.3454 - val_categorical_accuracy: 0.8823 - 410ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2369 - categorical_accuracy: 0.9150 - val_loss: 0.3740 - val_categorical_accuracy: 0.8694 - 430ms/epoch - 9ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2549 - categorical_accuracy: 0.9079 - val_loss: 0.3449 - val_categorical_accuracy: 0.8826 - 390ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2498 - categorical_accuracy: 0.9085 - val_loss: 0.3519 - val_categorical_accuracy: 0.8818 - 400ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2418 - categorical_accuracy: 0.9137 - val_loss: 0.3254 - val_categorical_accuracy: 0.8903 - 400ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2717 - categorical_accuracy: 0.9016 - val_loss: 0.3397 - val_categorical_accuracy: 0.8873 - 400ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2368 - categorical_accuracy: 0.9150 - val_loss: 0.3540 - val_categorical_accuracy: 0.8794 - 390ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2467 - categorical_accuracy: 0.9112 - val_loss: 0.3703 - val_categorical_accuracy: 0.8708 - 390ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.4277 - categorical_accuracy: 0.8679 - val_loss: 0.4760 - val_categorical_accuracy: 0.8305 - 390ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2448 - categorical_accuracy: 0.9158 - val_loss: 0.3769 - val_categorical_accuracy: 0.8675 - 414ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2458 - categorical_accuracy: 0.9112 - val_loss: 0.3344 - val_categorical_accuracy: 0.8873 - 390ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2317 - categorical_accuracy: 0.9166 - val_loss: 0.4090 - val_categorical_accuracy: 0.8606 - 390ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2351 - categorical_accuracy: 0.9157 - val_loss: 0.4136 - val_categorical_accuracy: 0.8544 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2258 - categorical_accuracy: 0.9200 - val_loss: 0.4210 - val_categorical_accuracy: 0.8596 - 390ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2560 - categorical_accuracy: 0.9059 - val_loss: 0.3501 - val_categorical_accuracy: 0.8808 - 415ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2408 - categorical_accuracy: 0.9124 - val_loss: 0.6049 - val_categorical_accuracy: 0.8063 - 440ms/epoch - 9ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2401 - categorical_accuracy: 0.9146 - val_loss: 0.3413 - val_categorical_accuracy: 0.8876 - 420ms/epoch - 9ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2340 - categorical_accuracy: 0.9155 - val_loss: 0.3206 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2655 - categorical_accuracy: 0.9044 - val_loss: 0.3253 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2271 - categorical_accuracy: 0.9188 - val_loss: 0.3286 - val_categorical_accuracy: 0.8885 - 390ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2446 - categorical_accuracy: 0.9128 - val_loss: 0.3869 - val_categorical_accuracy: 0.8653 - 400ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2254 - categorical_accuracy: 0.9203 - val_loss: 0.3566 - val_categorical_accuracy: 0.8776 - 400ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2449 - categorical_accuracy: 0.9157 - val_loss: 0.3226 - val_categorical_accuracy: 0.8892 - 400ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2294 - categorical_accuracy: 0.9185 - val_loss: 0.3580 - val_categorical_accuracy: 0.8782 - 400ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2471 - categorical_accuracy: 0.9107 - val_loss: 0.4253 - val_categorical_accuracy: 0.8558 - 400ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2226 - categorical_accuracy: 0.9208 - val_loss: 0.3529 - val_categorical_accuracy: 0.8815 - 390ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2338 - categorical_accuracy: 0.9157 - val_loss: 0.3384 - val_categorical_accuracy: 0.8867 - 384ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2414 - categorical_accuracy: 0.9123 - val_loss: 0.4493 - val_categorical_accuracy: 0.8469 - 396ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9211 - val_loss: 0.3682 - val_categorical_accuracy: 0.8755 - 400ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2879 - categorical_accuracy: 0.9008 - val_loss: 0.3474 - val_categorical_accuracy: 0.8820 - 414ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2272 - categorical_accuracy: 0.9188 - val_loss: 0.3345 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2260 - categorical_accuracy: 0.9187 - val_loss: 0.3964 - val_categorical_accuracy: 0.8704 - 390ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2167 - categorical_accuracy: 0.9214 - val_loss: 0.3937 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2230 - categorical_accuracy: 0.9195 - val_loss: 0.3386 - val_categorical_accuracy: 0.8864 - 400ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2367 - categorical_accuracy: 0.9158 - val_loss: 0.3318 - val_categorical_accuracy: 0.8884 - 414ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2165 - categorical_accuracy: 0.9237 - val_loss: 0.3502 - val_categorical_accuracy: 0.8821 - 430ms/epoch - 9ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2198 - categorical_accuracy: 0.9212 - val_loss: 0.3736 - val_categorical_accuracy: 0.8740 - 400ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2361 - categorical_accuracy: 0.9136 - val_loss: 0.3214 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2319 - categorical_accuracy: 0.9172 - val_loss: 0.5039 - val_categorical_accuracy: 0.8312 - 390ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2303 - categorical_accuracy: 0.9181 - val_loss: 0.3694 - val_categorical_accuracy: 0.8786 - 390ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2073 - categorical_accuracy: 0.9260 - val_loss: 0.3757 - val_categorical_accuracy: 0.8808 - 390ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2500 - categorical_accuracy: 0.9114 - val_loss: 0.4082 - val_categorical_accuracy: 0.8658 - 400ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2043 - categorical_accuracy: 0.9271 - val_loss: 0.3531 - val_categorical_accuracy: 0.8833 - 410ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2482 - categorical_accuracy: 0.9102 - val_loss: 0.8688 - val_categorical_accuracy: 0.7221 - 420ms/epoch - 9ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2361 - categorical_accuracy: 0.9176 - val_loss: 0.3385 - val_categorical_accuracy: 0.8887 - 394ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2198 - categorical_accuracy: 0.9229 - val_loss: 0.3676 - val_categorical_accuracy: 0.8739 - 390ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2196 - categorical_accuracy: 0.9217 - val_loss: 0.3255 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9258 - val_loss: 0.3543 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2283 - categorical_accuracy: 0.9175 - val_loss: 0.3966 - val_categorical_accuracy: 0.8676 - 410ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2176 - categorical_accuracy: 0.9216 - val_loss: 0.3216 - val_categorical_accuracy: 0.8943 - 435ms/epoch - 9ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.1997 - categorical_accuracy: 0.9294 - val_loss: 0.3503 - val_categorical_accuracy: 0.8837 - 400ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2809 - categorical_accuracy: 0.9042 - val_loss: 0.3466 - val_categorical_accuracy: 0.8827 - 400ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2156 - categorical_accuracy: 0.9235 - val_loss: 0.3464 - val_categorical_accuracy: 0.8853 - 400ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2149 - categorical_accuracy: 0.9227 - val_loss: 0.3399 - val_categorical_accuracy: 0.8902 - 400ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2164 - categorical_accuracy: 0.9225 - val_loss: 0.5856 - val_categorical_accuracy: 0.8179 - 384ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.3068 - categorical_accuracy: 0.8994 - val_loss: 0.3820 - val_categorical_accuracy: 0.8716 - 390ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2101 - categorical_accuracy: 0.9243 - val_loss: 0.3536 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2178 - categorical_accuracy: 0.9220 - val_loss: 0.4740 - val_categorical_accuracy: 0.8379 - 390ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2011 - categorical_accuracy: 0.9292 - val_loss: 0.3490 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2061 - categorical_accuracy: 0.9268 - val_loss: 0.3395 - val_categorical_accuracy: 0.8883 - 410ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2151 - categorical_accuracy: 0.9241 - val_loss: 0.3380 - val_categorical_accuracy: 0.8903 - 430ms/epoch - 9ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2061 - categorical_accuracy: 0.9258 - val_loss: 0.6121 - val_categorical_accuracy: 0.7972 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.2182 - categorical_accuracy: 0.9223 - val_loss: 0.3311 - val_categorical_accuracy: 0.8913 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.2002 - categorical_accuracy: 0.9294 - val_loss: 0.3693 - val_categorical_accuracy: 0.8771 - 390ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2436 - categorical_accuracy: 0.9162 - val_loss: 0.5563 - val_categorical_accuracy: 0.8226 - 400ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1993 - categorical_accuracy: 0.9299 - val_loss: 0.5145 - val_categorical_accuracy: 0.8315 - 400ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.2174 - categorical_accuracy: 0.9264 - val_loss: 0.3581 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.2000 - categorical_accuracy: 0.9292 - val_loss: 0.3353 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.2097 - categorical_accuracy: 0.9226 - val_loss: 0.3229 - val_categorical_accuracy: 0.8953 - 410ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9322 - val_loss: 0.3571 - val_categorical_accuracy: 0.8841 - 430ms/epoch - 9ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9249 - val_loss: 0.3413 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2033 - categorical_accuracy: 0.9277 - val_loss: 0.3368 - val_categorical_accuracy: 0.8891 - 390ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.4394 - categorical_accuracy: 0.8742 - val_loss: 0.4079 - val_categorical_accuracy: 0.8575 - 400ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.2072 - categorical_accuracy: 0.9285 - val_loss: 0.3203 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1975 - categorical_accuracy: 0.9307 - val_loss: 0.3838 - val_categorical_accuracy: 0.8762 - 390ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.1936 - categorical_accuracy: 0.9321 - val_loss: 0.3344 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9298 - val_loss: 0.3396 - val_categorical_accuracy: 0.8897 - 420ms/epoch - 9ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9361 - val_loss: 0.3550 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2279 - categorical_accuracy: 0.9195 - val_loss: 0.3418 - val_categorical_accuracy: 0.8897 - 390ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1922 - categorical_accuracy: 0.9310 - val_loss: 0.4905 - val_categorical_accuracy: 0.8450 - 390ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2064 - categorical_accuracy: 0.9284 - val_loss: 0.3275 - val_categorical_accuracy: 0.8945 - 410ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1923 - categorical_accuracy: 0.9317 - val_loss: 0.3285 - val_categorical_accuracy: 0.8920 - 390ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.2063 - categorical_accuracy: 0.9272 - val_loss: 0.4145 - val_categorical_accuracy: 0.8626 - 410ms/epoch - 8ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1870 - categorical_accuracy: 0.9326 - val_loss: 0.4052 - val_categorical_accuracy: 0.8674 - 430ms/epoch - 9ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.2112 - categorical_accuracy: 0.9259 - val_loss: 0.4813 - val_categorical_accuracy: 0.8477 - 390ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.2071 - categorical_accuracy: 0.9242 - val_loss: 0.3280 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9382 - val_loss: 0.5275 - val_categorical_accuracy: 0.8524 - 390ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.2199 - categorical_accuracy: 0.9236 - val_loss: 0.3489 - val_categorical_accuracy: 0.8887 - 390ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1990 - categorical_accuracy: 0.9282 - val_loss: 0.3667 - val_categorical_accuracy: 0.8805 - 400ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9342 - val_loss: 0.3377 - val_categorical_accuracy: 0.8911 - 410ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1846 - categorical_accuracy: 0.9337 - val_loss: 0.3735 - val_categorical_accuracy: 0.8806 - 430ms/epoch - 9ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.2357 - categorical_accuracy: 0.9234 - val_loss: 0.3161 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1998 - categorical_accuracy: 0.9295 - val_loss: 0.3442 - val_categorical_accuracy: 0.8897 - 390ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.1876 - categorical_accuracy: 0.9315 - val_loss: 0.3371 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1972 - categorical_accuracy: 0.9295 - val_loss: 0.3706 - val_categorical_accuracy: 0.8786 - 390ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1867 - categorical_accuracy: 0.9329 - val_loss: 0.3449 - val_categorical_accuracy: 0.8917 - 400ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.2000 - categorical_accuracy: 0.9276 - val_loss: 0.3416 - val_categorical_accuracy: 0.8913 - 420ms/epoch - 9ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.2311 - categorical_accuracy: 0.9240 - val_loss: 0.3245 - val_categorical_accuracy: 0.8974 - 430ms/epoch - 9ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1605 - categorical_accuracy: 0.9439 - val_loss: 0.3214 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.2077 - categorical_accuracy: 0.9257 - val_loss: 0.3814 - val_categorical_accuracy: 0.8792 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9344 - val_loss: 0.3387 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1798 - categorical_accuracy: 0.9369 - val_loss: 0.3414 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.3127 - categorical_accuracy: 0.9028 - val_loss: 0.3241 - val_categorical_accuracy: 0.8938 - 389ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1603 - categorical_accuracy: 0.9444 - val_loss: 0.3443 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1864 - categorical_accuracy: 0.9355 - val_loss: 0.3213 - val_categorical_accuracy: 0.8991 - 430ms/epoch - 9ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1812 - categorical_accuracy: 0.9352 - val_loss: 0.3872 - val_categorical_accuracy: 0.8765 - 390ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1839 - categorical_accuracy: 0.9361 - val_loss: 0.3599 - val_categorical_accuracy: 0.8884 - 390ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1975 - categorical_accuracy: 0.9288 - val_loss: 0.3738 - val_categorical_accuracy: 0.8863 - 390ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9372 - val_loss: 0.3263 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1819 - categorical_accuracy: 0.9352 - val_loss: 0.4039 - val_categorical_accuracy: 0.8810 - 414ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.1899 - categorical_accuracy: 0.9326 - val_loss: 0.3823 - val_categorical_accuracy: 0.8770 - 440ms/epoch - 9ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1941 - categorical_accuracy: 0.9305 - val_loss: 0.3496 - val_categorical_accuracy: 0.8915 - 400ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1804 - categorical_accuracy: 0.9360 - val_loss: 0.3300 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1708 - categorical_accuracy: 0.9382 - val_loss: 0.3776 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9387 - val_loss: 0.6683 - val_categorical_accuracy: 0.8356 - 384ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.2548 - categorical_accuracy: 0.9195 - val_loss: 0.3415 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1836 - categorical_accuracy: 0.9358 - val_loss: 0.3275 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1672 - categorical_accuracy: 0.9401 - val_loss: 0.3412 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1609 - categorical_accuracy: 0.9425 - val_loss: 0.4203 - val_categorical_accuracy: 0.8744 - 410ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9258 - val_loss: 0.3619 - val_categorical_accuracy: 0.8875 - 434ms/epoch - 9ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1939 - categorical_accuracy: 0.9298 - val_loss: 0.5607 - val_categorical_accuracy: 0.8135 - 390ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1789 - categorical_accuracy: 0.9367 - val_loss: 0.4645 - val_categorical_accuracy: 0.8621 - 400ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1588 - categorical_accuracy: 0.9441 - val_loss: 0.3429 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.6128 - categorical_accuracy: 0.8305 - val_loss: 0.3967 - val_categorical_accuracy: 0.8619 - 390ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1991 - categorical_accuracy: 0.9307 - val_loss: 0.3337 - val_categorical_accuracy: 0.8947 - 394ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1599 - categorical_accuracy: 0.9442 - val_loss: 0.3829 - val_categorical_accuracy: 0.8769 - 410ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1889 - categorical_accuracy: 0.9318 - val_loss: 0.3591 - val_categorical_accuracy: 0.8877 - 430ms/epoch - 9ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9452 - val_loss: 0.3445 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1868 - categorical_accuracy: 0.9350 - val_loss: 0.3264 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1815 - categorical_accuracy: 0.9349 - val_loss: 0.3563 - val_categorical_accuracy: 0.8928 - 394ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1817 - categorical_accuracy: 0.9346 - val_loss: 0.4249 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1698 - categorical_accuracy: 0.9392 - val_loss: 0.3305 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1473 - categorical_accuracy: 0.9492 - val_loss: 0.3435 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1837 - categorical_accuracy: 0.9351 - val_loss: 0.3584 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1852 - categorical_accuracy: 0.9362 - val_loss: 0.3238 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.2271 - categorical_accuracy: 0.9263 - val_loss: 0.3318 - val_categorical_accuracy: 0.8948 - 440ms/epoch - 9ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1448 - categorical_accuracy: 0.9498 - val_loss: 0.3630 - val_categorical_accuracy: 0.8892 - 390ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1434 - categorical_accuracy: 0.9498 - val_loss: 0.3660 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.2072 - categorical_accuracy: 0.9251 - val_loss: 0.3861 - val_categorical_accuracy: 0.8832 - 400ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1528 - categorical_accuracy: 0.9460 - val_loss: 0.3411 - val_categorical_accuracy: 0.8956 - 394ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1860 - categorical_accuracy: 0.9337 - val_loss: 0.3332 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9412 - val_loss: 0.3286 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1703 - categorical_accuracy: 0.9400 - val_loss: 0.3320 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1758 - categorical_accuracy: 0.9386 - val_loss: 0.3532 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9450 - val_loss: 0.4433 - val_categorical_accuracy: 0.8623 - 390ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9407 - val_loss: 0.3254 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1773 - categorical_accuracy: 0.9380 - val_loss: 0.3579 - val_categorical_accuracy: 0.8922 - 410ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9467 - val_loss: 0.3420 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.2946 - categorical_accuracy: 0.9092 - val_loss: 0.3293 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1410 - categorical_accuracy: 0.9513 - val_loss: 0.3816 - val_categorical_accuracy: 0.8864 - 400ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9398 - val_loss: 0.4578 - val_categorical_accuracy: 0.8749 - 400ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1946 - categorical_accuracy: 0.9338 - val_loss: 0.3543 - val_categorical_accuracy: 0.8904 - 410ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1657 - categorical_accuracy: 0.9424 - val_loss: 0.3478 - val_categorical_accuracy: 0.8968 - 430ms/epoch - 9ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1542 - categorical_accuracy: 0.9442 - val_loss: 0.7220 - val_categorical_accuracy: 0.7966 - 390ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1791 - categorical_accuracy: 0.9381 - val_loss: 0.3701 - val_categorical_accuracy: 0.8908 - 390ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1790 - categorical_accuracy: 0.9384 - val_loss: 0.3424 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1343 - categorical_accuracy: 0.9538 - val_loss: 0.3337 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1763 - categorical_accuracy: 0.9394 - val_loss: 0.3336 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9366 - val_loss: 0.3324 - val_categorical_accuracy: 0.8971 - 420ms/epoch - 9ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1392 - categorical_accuracy: 0.9513 - val_loss: 0.3695 - val_categorical_accuracy: 0.8936 - 424ms/epoch - 9ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9406 - val_loss: 0.3816 - val_categorical_accuracy: 0.8864 - 390ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1714 - categorical_accuracy: 0.9385 - val_loss: 0.3270 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.2994 - categorical_accuracy: 0.9110 - val_loss: 0.3335 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 1s - loss: 0.1398 - categorical_accuracy: 0.9514 - val_loss: 0.3823 - val_categorical_accuracy: 0.8886 - 550ms/epoch - 11ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1691 - categorical_accuracy: 0.9392 - val_loss: 0.3473 - val_categorical_accuracy: 0.8960 - 388ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1349 - categorical_accuracy: 0.9530 - val_loss: 0.3309 - val_categorical_accuracy: 0.9030 - 440ms/epoch - 9ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9421 - val_loss: 0.3445 - val_categorical_accuracy: 0.8976 - 430ms/epoch - 9ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1942 - categorical_accuracy: 0.9341 - val_loss: 0.3305 - val_categorical_accuracy: 0.8997 - 430ms/epoch - 9ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1374 - categorical_accuracy: 0.9520 - val_loss: 0.3575 - val_categorical_accuracy: 0.8922 - 388ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.2069 - categorical_accuracy: 0.9292 - val_loss: 0.3263 - val_categorical_accuracy: 0.9014 - 389ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1346 - categorical_accuracy: 0.9527 - val_loss: 0.3521 - val_categorical_accuracy: 0.8962 - 391ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1324 - categorical_accuracy: 0.9538 - val_loss: 0.4000 - val_categorical_accuracy: 0.8780 - 390ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9367 - val_loss: 0.3852 - val_categorical_accuracy: 0.8852 - 397ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1350 - categorical_accuracy: 0.9530 - val_loss: 0.3393 - val_categorical_accuracy: 0.9019 - 420ms/epoch - 9ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1741 - categorical_accuracy: 0.9409 - val_loss: 0.3376 - val_categorical_accuracy: 0.9031 - 428ms/epoch - 9ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1820 - categorical_accuracy: 0.9384 - val_loss: 0.3297 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.2045 - categorical_accuracy: 0.9381 - val_loss: 2.9929 - val_categorical_accuracy: 0.4304 - 396ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.4188 - categorical_accuracy: 0.8752 - val_loss: 0.3197 - val_categorical_accuracy: 0.9023 - 383ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1381 - categorical_accuracy: 0.9531 - val_loss: 0.3308 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1307 - categorical_accuracy: 0.9548 - val_loss: 0.3482 - val_categorical_accuracy: 0.8992 - 396ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1371 - categorical_accuracy: 0.9516 - val_loss: 0.3735 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1724 - categorical_accuracy: 0.9389 - val_loss: 0.3743 - val_categorical_accuracy: 0.8885 - 420ms/epoch - 9ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1299 - categorical_accuracy: 0.9551 - val_loss: 0.3444 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1410 - categorical_accuracy: 0.9505 - val_loss: 0.6050 - val_categorical_accuracy: 0.8515 - 404ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.2404 - categorical_accuracy: 0.9220 - val_loss: 0.3255 - val_categorical_accuracy: 0.9016 - 396ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9562 - val_loss: 0.3481 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1617 - categorical_accuracy: 0.9461 - val_loss: 0.3414 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1568 - categorical_accuracy: 0.9462 - val_loss: 0.3524 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1268 - categorical_accuracy: 0.9562 - val_loss: 0.3980 - val_categorical_accuracy: 0.8874 - 414ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1756 - categorical_accuracy: 0.9407 - val_loss: 0.3338 - val_categorical_accuracy: 0.9050 - 444ms/epoch - 9ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1705 - categorical_accuracy: 0.9421 - val_loss: 0.3394 - val_categorical_accuracy: 0.8991 - 396ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1247 - categorical_accuracy: 0.9568 - val_loss: 0.7980 - val_categorical_accuracy: 0.8025 - 400ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1937 - categorical_accuracy: 0.9379 - val_loss: 0.3671 - val_categorical_accuracy: 0.8896 - 390ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1732 - categorical_accuracy: 0.9415 - val_loss: 0.3598 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1268 - categorical_accuracy: 0.9558 - val_loss: 0.3443 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1906 - categorical_accuracy: 0.9382 - val_loss: 0.3864 - val_categorical_accuracy: 0.8878 - 390ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1460 - categorical_accuracy: 0.9490 - val_loss: 0.3302 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1387 - categorical_accuracy: 0.9510 - val_loss: 0.4490 - val_categorical_accuracy: 0.8625 - 430ms/epoch - 9ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1339 - categorical_accuracy: 0.9527 - val_loss: 0.4780 - val_categorical_accuracy: 0.8588 - 400ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.2659 - categorical_accuracy: 0.9219 - val_loss: 0.3449 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1237 - categorical_accuracy: 0.9572 - val_loss: 0.3676 - val_categorical_accuracy: 0.8918 - 400ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1755 - categorical_accuracy: 0.9378 - val_loss: 0.3447 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1209 - categorical_accuracy: 0.9581 - val_loss: 0.3523 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1640 - categorical_accuracy: 0.9435 - val_loss: 0.3685 - val_categorical_accuracy: 0.8921 - 400ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1773 - categorical_accuracy: 0.9380 - val_loss: 0.3538 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1243 - categorical_accuracy: 0.9566 - val_loss: 0.3403 - val_categorical_accuracy: 0.9024 - 410ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1781 - categorical_accuracy: 0.9406 - val_loss: 0.3308 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1246 - categorical_accuracy: 0.9576 - val_loss: 0.3464 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1232 - categorical_accuracy: 0.9573 - val_loss: 0.3419 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1880 - categorical_accuracy: 0.9350 - val_loss: 0.5661 - val_categorical_accuracy: 0.8383 - 390ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1357 - categorical_accuracy: 0.9530 - val_loss: 0.3439 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9471 - val_loss: 0.8955 - val_categorical_accuracy: 0.7897 - 390ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1638 - categorical_accuracy: 0.9453 - val_loss: 0.3429 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1190 - categorical_accuracy: 0.9589 - val_loss: 0.3594 - val_categorical_accuracy: 0.8991 - 430ms/epoch - 9ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.2067 - categorical_accuracy: 0.9306 - val_loss: 0.3274 - val_categorical_accuracy: 0.9038 - 430ms/epoch - 9ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1271 - categorical_accuracy: 0.9569 - val_loss: 0.3749 - val_categorical_accuracy: 0.8930 - 390ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1224 - categorical_accuracy: 0.9572 - val_loss: 0.3455 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1618 - categorical_accuracy: 0.9452 - val_loss: 0.3518 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9456 - val_loss: 0.3393 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1180 - categorical_accuracy: 0.9591 - val_loss: 0.3811 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1601 - categorical_accuracy: 0.9447 - val_loss: 0.3514 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.2025 - categorical_accuracy: 0.9342 - val_loss: 0.3533 - val_categorical_accuracy: 0.8992 - 420ms/epoch - 9ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1161 - categorical_accuracy: 0.9600 - val_loss: 0.3523 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1363 - categorical_accuracy: 0.9504 - val_loss: 0.3878 - val_categorical_accuracy: 0.8914 - 390ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1246 - categorical_accuracy: 0.9568 - val_loss: 0.4107 - val_categorical_accuracy: 0.8821 - 390ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1652 - categorical_accuracy: 0.9444 - val_loss: 0.3582 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1226 - categorical_accuracy: 0.9565 - val_loss: 0.3785 - val_categorical_accuracy: 0.8951 - 410ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1572 - categorical_accuracy: 0.9450 - val_loss: 0.3797 - val_categorical_accuracy: 0.8925 - 430ms/epoch - 9ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.3123 - categorical_accuracy: 0.9117 - val_loss: 0.3348 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1234 - categorical_accuracy: 0.9571 - val_loss: 0.3874 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1349 - categorical_accuracy: 0.9515 - val_loss: 0.3283 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1610 - categorical_accuracy: 0.9454 - val_loss: 0.3743 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9450 - val_loss: 0.4756 - val_categorical_accuracy: 0.8593 - 390ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1249 - categorical_accuracy: 0.9565 - val_loss: 0.3726 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1219 - categorical_accuracy: 0.9578 - val_loss: 0.3463 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.2582 - categorical_accuracy: 0.9231 - val_loss: 0.3421 - val_categorical_accuracy: 0.8968 - 410ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9602 - val_loss: 0.3385 - val_categorical_accuracy: 0.9049 - 440ms/epoch - 9ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1171 - categorical_accuracy: 0.9594 - val_loss: 0.3585 - val_categorical_accuracy: 0.8985 - 430ms/epoch - 9ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1151 - categorical_accuracy: 0.9596 - val_loss: 0.4053 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1533 - categorical_accuracy: 0.9487 - val_loss: 0.4301 - val_categorical_accuracy: 0.8741 - 390ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1856 - categorical_accuracy: 0.9355 - val_loss: 0.3415 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1106 - categorical_accuracy: 0.9627 - val_loss: 0.3360 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1793 - categorical_accuracy: 0.9407 - val_loss: 0.3583 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1165 - categorical_accuracy: 0.9604 - val_loss: 0.3852 - val_categorical_accuracy: 0.8923 - 390ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1151 - categorical_accuracy: 0.9598 - val_loss: 0.3458 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1613 - categorical_accuracy: 0.9458 - val_loss: 0.3556 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9606 - val_loss: 0.6969 - val_categorical_accuracy: 0.8023 - 410ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.2739 - categorical_accuracy: 0.9222 - val_loss: 0.3564 - val_categorical_accuracy: 0.9026 - 440ms/epoch - 9ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1218 - categorical_accuracy: 0.9566 - val_loss: 0.3380 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1590 - categorical_accuracy: 0.9438 - val_loss: 0.3624 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1122 - categorical_accuracy: 0.9610 - val_loss: 0.3648 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1321 - categorical_accuracy: 0.9541 - val_loss: 1.0206 - val_categorical_accuracy: 0.8260 - 390ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9579 - val_loss: 0.3756 - val_categorical_accuracy: 0.8970 - 414ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1454 - categorical_accuracy: 0.9493 - val_loss: 0.3518 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1493 - categorical_accuracy: 0.9497 - val_loss: 0.3445 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1442 - categorical_accuracy: 0.9525 - val_loss: 0.3502 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1101 - categorical_accuracy: 0.9623 - val_loss: 0.3626 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1676 - categorical_accuracy: 0.9420 - val_loss: 0.3546 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9630 - val_loss: 0.3633 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1890 - categorical_accuracy: 0.9389 - val_loss: 0.3720 - val_categorical_accuracy: 0.8897 - 410ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1139 - categorical_accuracy: 0.9608 - val_loss: 0.3746 - val_categorical_accuracy: 0.8958 - 450ms/epoch - 9ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1111 - categorical_accuracy: 0.9613 - val_loss: 0.4082 - val_categorical_accuracy: 0.8847 - 400ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.9609 - categorical_accuracy: 0.7414 - val_loss: 0.4174 - val_categorical_accuracy: 0.8537 - 390ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.2079 - categorical_accuracy: 0.9260 - val_loss: 0.3515 - val_categorical_accuracy: 0.8895 - 390ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1433 - categorical_accuracy: 0.9500 - val_loss: 0.3503 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9550 - val_loss: 0.3540 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1237 - categorical_accuracy: 0.9572 - val_loss: 0.3466 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1193 - categorical_accuracy: 0.9581 - val_loss: 0.3752 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9488 - val_loss: 0.3588 - val_categorical_accuracy: 0.9003 - 420ms/epoch - 9ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1167 - categorical_accuracy: 0.9597 - val_loss: 0.3666 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1187 - categorical_accuracy: 0.9584 - val_loss: 0.3699 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9452 - val_loss: 0.3423 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1144 - categorical_accuracy: 0.9601 - val_loss: 0.3854 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1502 - categorical_accuracy: 0.9481 - val_loss: 0.3982 - val_categorical_accuracy: 0.8882 - 410ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1116 - categorical_accuracy: 0.9616 - val_loss: 0.4015 - val_categorical_accuracy: 0.8886 - 390ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1517 - categorical_accuracy: 0.9477 - val_loss: 0.3524 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1075 - categorical_accuracy: 0.9635 - val_loss: 0.3668 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1084 - categorical_accuracy: 0.9627 - val_loss: 0.3478 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9486 - val_loss: 0.9723 - val_categorical_accuracy: 0.7312 - 420ms/epoch - 9ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1590 - categorical_accuracy: 0.9476 - val_loss: 0.3416 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1057 - categorical_accuracy: 0.9634 - val_loss: 0.3597 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1471 - categorical_accuracy: 0.9497 - val_loss: 0.3484 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1089 - categorical_accuracy: 0.9624 - val_loss: 0.3662 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1961 - categorical_accuracy: 0.9401 - val_loss: 0.3626 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1264 - categorical_accuracy: 0.9556 - val_loss: 0.3619 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1186 - categorical_accuracy: 0.9577 - val_loss: 0.3949 - val_categorical_accuracy: 0.8917 - 390ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9484 - val_loss: 0.3611 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1044 - categorical_accuracy: 0.9641 - val_loss: 0.3898 - val_categorical_accuracy: 0.8953 - 410ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9461 - val_loss: 0.3687 - val_categorical_accuracy: 0.8978 - 424ms/epoch - 9ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.1101 - categorical_accuracy: 0.9624 - val_loss: 0.4238 - val_categorical_accuracy: 0.8873 - 390ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1129 - categorical_accuracy: 0.9606 - val_loss: 0.3568 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1055 - categorical_accuracy: 0.9632 - val_loss: 0.4179 - val_categorical_accuracy: 0.8892 - 400ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1575 - categorical_accuracy: 0.9476 - val_loss: 0.3607 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1163 - categorical_accuracy: 0.9592 - val_loss: 0.3541 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9435 - val_loss: 0.3635 - val_categorical_accuracy: 0.9010 - 430ms/epoch - 9ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9652 - val_loss: 0.3733 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.3486 - categorical_accuracy: 0.9002 - val_loss: 0.3979 - val_categorical_accuracy: 0.8748 - 400ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1279 - categorical_accuracy: 0.9562 - val_loss: 0.3611 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1060 - categorical_accuracy: 0.9639 - val_loss: 0.3525 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9618 - val_loss: 0.3689 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9655 - val_loss: 0.3738 - val_categorical_accuracy: 0.9024 - 430ms/epoch - 9ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1628 - categorical_accuracy: 0.9476 - val_loss: 0.3507 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.1044 - categorical_accuracy: 0.9634 - val_loss: 0.4007 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1200 - categorical_accuracy: 0.9583 - val_loss: 0.3801 - val_categorical_accuracy: 0.8993 - 404ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1578 - categorical_accuracy: 0.9476 - val_loss: 0.3714 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1040 - categorical_accuracy: 0.9636 - val_loss: 0.3705 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9629 - val_loss: 0.3645 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1058 - categorical_accuracy: 0.9628 - val_loss: 0.3865 - val_categorical_accuracy: 0.8997 - 420ms/epoch - 9ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9492 - val_loss: 0.4163 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.1677 - categorical_accuracy: 0.9454 - val_loss: 0.3423 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1025 - categorical_accuracy: 0.9645 - val_loss: 0.4712 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.1435 - categorical_accuracy: 0.9539 - val_loss: 0.3798 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9512 - val_loss: 0.3780 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1132 - categorical_accuracy: 0.9602 - val_loss: 0.3647 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9646 - val_loss: 0.3629 - val_categorical_accuracy: 0.9068 - 430ms/epoch - 9ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.1058 - categorical_accuracy: 0.9628 - val_loss: 0.4534 - val_categorical_accuracy: 0.8762 - 400ms/epoch - 8ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1548 - categorical_accuracy: 0.9480 - val_loss: 0.4086 - val_categorical_accuracy: 0.8903 - 390ms/epoch - 8ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.1121 - categorical_accuracy: 0.9608 - val_loss: 0.3620 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.1014 - categorical_accuracy: 0.9647 - val_loss: 0.3902 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.1458 - categorical_accuracy: 0.9503 - val_loss: 0.4718 - val_categorical_accuracy: 0.8755 - 400ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1067 - categorical_accuracy: 0.9634 - val_loss: 0.3879 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.1033 - categorical_accuracy: 0.9643 - val_loss: 0.5253 - val_categorical_accuracy: 0.8582 - 390ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.2322 - categorical_accuracy: 0.9318 - val_loss: 0.3531 - val_categorical_accuracy: 0.9040 - 420ms/epoch - 9ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9661 - val_loss: 0.3579 - val_categorical_accuracy: 0.9075 - 394ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1046 - categorical_accuracy: 0.9637 - val_loss: 0.4208 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9526 - val_loss: 0.3611 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9662 - val_loss: 0.3809 - val_categorical_accuracy: 0.8993 - 404ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.1147 - categorical_accuracy: 0.9594 - val_loss: 0.4001 - val_categorical_accuracy: 0.8988 - 420ms/epoch - 9ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1652 - categorical_accuracy: 0.9460 - val_loss: 0.3608 - val_categorical_accuracy: 0.9065 - 394ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9662 - val_loss: 0.3664 - val_categorical_accuracy: 0.9085 - 396ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.1537 - categorical_accuracy: 0.9516 - val_loss: 0.3688 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9662 - val_loss: 0.3670 - val_categorical_accuracy: 0.9077 - 420ms/epoch - 9ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.1036 - categorical_accuracy: 0.9634 - val_loss: 0.3823 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.1022 - categorical_accuracy: 0.9642 - val_loss: 0.4258 - val_categorical_accuracy: 0.8879 - 394ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.1107 - categorical_accuracy: 0.9610 - val_loss: 0.3956 - val_categorical_accuracy: 0.9004 - 396ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9651 - val_loss: 0.4494 - val_categorical_accuracy: 0.8877 - 400ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.2010 - categorical_accuracy: 0.9338 - val_loss: 0.3545 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9666 - val_loss: 0.3611 - val_categorical_accuracy: 0.9098 - 420ms/epoch - 9ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0995 - categorical_accuracy: 0.9660 - val_loss: 0.3675 - val_categorical_accuracy: 0.9092 - 404ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.1711 - categorical_accuracy: 0.9434 - val_loss: 0.4431 - val_categorical_accuracy: 0.8752 - 396ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.1016 - categorical_accuracy: 0.9651 - val_loss: 0.3872 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.1242 - categorical_accuracy: 0.9573 - val_loss: 0.3968 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9654 - val_loss: 0.3869 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.2690 - categorical_accuracy: 0.9238 - val_loss: 0.4371 - val_categorical_accuracy: 0.8637 - 394ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.1200 - categorical_accuracy: 0.9586 - val_loss: 0.3791 - val_categorical_accuracy: 0.9000 - 396ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9677 - val_loss: 0.3665 - val_categorical_accuracy: 0.9043 - 420ms/epoch - 9ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9655 - val_loss: 0.3776 - val_categorical_accuracy: 0.9029 - 450ms/epoch - 9ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9637 - val_loss: 0.3753 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9637 - val_loss: 0.3866 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.1334 - categorical_accuracy: 0.9544 - val_loss: 0.4516 - val_categorical_accuracy: 0.8792 - 390ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9643 - val_loss: 0.3770 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9661 - val_loss: 0.3983 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.2061 - categorical_accuracy: 0.9360 - val_loss: 0.4133 - val_categorical_accuracy: 0.8841 - 390ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1075 - categorical_accuracy: 0.9629 - val_loss: 0.3794 - val_categorical_accuracy: 0.9050 - 394ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9676 - val_loss: 0.3692 - val_categorical_accuracy: 0.9053 - 406ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9675 - val_loss: 0.4077 - val_categorical_accuracy: 0.8987 - 410ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9642 - val_loss: 0.3844 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.0958 - categorical_accuracy: 0.9666 - val_loss: 0.4160 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0975 - categorical_accuracy: 0.9660 - val_loss: 0.3905 - val_categorical_accuracy: 0.9056 - 394ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.3586 - categorical_accuracy: 0.9048 - val_loss: 0.3636 - val_categorical_accuracy: 0.8961 - 396ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.1090 - categorical_accuracy: 0.9630 - val_loss: 0.3966 - val_categorical_accuracy: 0.8946 - 410ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9658 - val_loss: 0.3784 - val_categorical_accuracy: 0.9039 - 430ms/epoch - 9ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0971 - categorical_accuracy: 0.9659 - val_loss: 0.3932 - val_categorical_accuracy: 0.9025 - 410ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.1002 - categorical_accuracy: 0.9647 - val_loss: 0.4132 - val_categorical_accuracy: 0.8996 - 410ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.0948 - categorical_accuracy: 0.9668 - val_loss: 0.3870 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.1444 - categorical_accuracy: 0.9529 - val_loss: 0.3609 - val_categorical_accuracy: 0.9106 - 401ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9670 - val_loss: 0.3945 - val_categorical_accuracy: 0.9010 - 397ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9667 - val_loss: 0.4099 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.2044 - categorical_accuracy: 0.9414 - val_loss: 0.3856 - val_categorical_accuracy: 0.9017 - 394ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.0931 - categorical_accuracy: 0.9672 - val_loss: 0.3946 - val_categorical_accuracy: 0.9045 - 396ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9668 - val_loss: 0.3756 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9644 - val_loss: 0.4169 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1480 - categorical_accuracy: 0.9512 - val_loss: 0.3759 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9680 - val_loss: 0.3773 - val_categorical_accuracy: 0.9101 - 394ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9657 - val_loss: 0.3693 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0940 - categorical_accuracy: 0.9668 - val_loss: 0.3768 - val_categorical_accuracy: 0.9090 - 420ms/epoch - 9ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.1102 - categorical_accuracy: 0.9616 - val_loss: 0.3796 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.1675 - categorical_accuracy: 0.9481 - val_loss: 0.3798 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9684 - val_loss: 0.3910 - val_categorical_accuracy: 0.9065 - 394ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9688 - val_loss: 0.4268 - val_categorical_accuracy: 0.8941 - 396ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9616 - val_loss: 0.5766 - val_categorical_accuracy: 0.8559 - 390ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.1911 - categorical_accuracy: 0.9380 - val_loss: 0.3855 - val_categorical_accuracy: 0.9019 - 410ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9691 - val_loss: 0.3837 - val_categorical_accuracy: 0.9079 - 430ms/epoch - 9ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9684 - val_loss: 0.4481 - val_categorical_accuracy: 0.8902 - 400ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9679 - val_loss: 0.3862 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9539 - val_loss: 0.5228 - val_categorical_accuracy: 0.8542 - 390ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 1s - loss: 0.1729 - categorical_accuracy: 0.9456 - val_loss: 0.3709 - val_categorical_accuracy: 0.9047 - 570ms/epoch - 12ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9685 - val_loss: 0.3721 - val_categorical_accuracy: 0.9109 - 390ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.1003 - categorical_accuracy: 0.9652 - val_loss: 0.3783 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9675 - val_loss: 0.3853 - val_categorical_accuracy: 0.9050 - 430ms/epoch - 9ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9657 - val_loss: 0.3858 - val_categorical_accuracy: 0.9073 - 430ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9673 - val_loss: 0.5361 - val_categorical_accuracy: 0.8653 - 430ms/epoch - 9ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.1644 - categorical_accuracy: 0.9499 - val_loss: 0.3974 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9676 - val_loss: 0.4232 - val_categorical_accuracy: 0.8930 - 390ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9666 - val_loss: 0.3887 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.1539 - categorical_accuracy: 0.9502 - val_loss: 0.3922 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9675 - val_loss: 0.4501 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.1683 - categorical_accuracy: 0.9469 - val_loss: 0.3716 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9685 - val_loss: 0.4011 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.2004 - categorical_accuracy: 0.9388 - val_loss: 0.3638 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9696 - val_loss: 0.3797 - val_categorical_accuracy: 0.9090 - 420ms/epoch - 9ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9700 - val_loss: 0.3989 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9672 - val_loss: 0.4100 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9692 - val_loss: 0.4339 - val_categorical_accuracy: 0.8948 - 400ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9657 - val_loss: 0.4011 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9691 - val_loss: 0.5613 - val_categorical_accuracy: 0.8665 - 430ms/epoch - 9ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.2022 - categorical_accuracy: 0.9396 - val_loss: 0.4049 - val_categorical_accuracy: 0.8951 - 430ms/epoch - 9ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9687 - val_loss: 0.4006 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9434 - val_loss: 0.3808 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9689 - val_loss: 0.3819 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9707 - val_loss: 0.4088 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9684 - val_loss: 0.3874 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9677 - val_loss: 0.4033 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9695 - val_loss: 0.4325 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9669 - val_loss: 0.4497 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.2546 - categorical_accuracy: 0.9304 - val_loss: 0.3961 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9692 - val_loss: 0.3840 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9560 - val_loss: 0.3850 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9701 - val_loss: 0.3891 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9687 - val_loss: 0.3938 - val_categorical_accuracy: 0.9091 - 420ms/epoch - 9ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9684 - val_loss: 0.4128 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1690 - categorical_accuracy: 0.9482 - val_loss: 0.3898 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9697 - val_loss: 0.3848 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9691 - val_loss: 0.3958 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9698 - val_loss: 0.3941 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9706 - val_loss: 0.4138 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.1486 - categorical_accuracy: 0.9514 - val_loss: 0.3866 - val_categorical_accuracy: 0.9066 - 430ms/epoch - 9ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.1057 - categorical_accuracy: 0.9631 - val_loss: 0.3846 - val_categorical_accuracy: 0.9101 - 430ms/epoch - 9ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9497 - val_loss: 0.4179 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9700 - val_loss: 0.3869 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9706 - val_loss: 0.3983 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9692 - val_loss: 0.4016 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9714 - val_loss: 0.4164 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.1596 - categorical_accuracy: 0.9524 - val_loss: 0.4098 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0938 - categorical_accuracy: 0.9669 - val_loss: 0.3840 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.1311 - categorical_accuracy: 0.9569 - val_loss: 0.4048 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9535 - val_loss: 0.4092 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9703 - val_loss: 0.3951 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9698 - val_loss: 0.3964 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.4046 - val_categorical_accuracy: 0.9080 - 410ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9671 - val_loss: 0.7533 - val_categorical_accuracy: 0.8209 - 390ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.2153 - categorical_accuracy: 0.9402 - val_loss: 0.4010 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9713 - val_loss: 0.3941 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1369 - categorical_accuracy: 0.9532 - val_loss: 0.4107 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9698 - val_loss: 0.4215 - val_categorical_accuracy: 0.9068 - 420ms/epoch - 9ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9701 - val_loss: 0.4094 - val_categorical_accuracy: 0.9028 - 430ms/epoch - 9ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9709 - val_loss: 0.3951 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.0876 - categorical_accuracy: 0.9693 - val_loss: 0.4171 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9691 - val_loss: 0.4104 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9691 - val_loss: 0.4271 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.4071 - categorical_accuracy: 0.9032 - val_loss: 0.4791 - val_categorical_accuracy: 0.8444 - 390ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.1426 - categorical_accuracy: 0.9500 - val_loss: 0.3677 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9700 - val_loss: 0.4009 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9716 - val_loss: 0.3822 - val_categorical_accuracy: 0.9071 - 414ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9707 - val_loss: 0.4054 - val_categorical_accuracy: 0.9067 - 430ms/epoch - 9ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.2885 - categorical_accuracy: 0.9278 - val_loss: 0.5124 - val_categorical_accuracy: 0.8353 - 440ms/epoch - 9ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.1318 - categorical_accuracy: 0.9543 - val_loss: 0.3579 - val_categorical_accuracy: 0.9134 - 390ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9707 - val_loss: 0.4329 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9694 - val_loss: 0.3932 - val_categorical_accuracy: 0.9074 - 384ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9677 - val_loss: 0.3931 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9713 - val_loss: 0.4138 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9695 - val_loss: 0.4302 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0868 - categorical_accuracy: 0.9695 - val_loss: 0.4340 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9453 - val_loss: 0.3730 - val_categorical_accuracy: 0.9120 - 405ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9719 - val_loss: 0.4051 - val_categorical_accuracy: 0.9057 - 430ms/epoch - 9ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9719 - val_loss: 0.4124 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9702 - val_loss: 0.4037 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9454 - val_loss: 0.3874 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9713 - val_loss: 0.4286 - val_categorical_accuracy: 0.8991 - 394ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9708 - val_loss: 0.4002 - val_categorical_accuracy: 0.9099 - 395ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9716 - val_loss: 0.4036 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9702 - val_loss: 0.4151 - val_categorical_accuracy: 0.9061 - 420ms/epoch - 9ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9701 - val_loss: 0.4171 - val_categorical_accuracy: 0.9070 - 397ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9695 - val_loss: 0.4464 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.2160 - categorical_accuracy: 0.9391 - val_loss: 0.3861 - val_categorical_accuracy: 0.9091 - 395ms/epoch - 8ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9711 - val_loss: 0.4059 - val_categorical_accuracy: 0.9050 - 394ms/epoch - 8ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9698 - val_loss: 0.3982 - val_categorical_accuracy: 0.9116 - 414ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9707 - val_loss: 0.4144 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9697 - val_loss: 0.4031 - val_categorical_accuracy: 0.9115 - 395ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9712 - val_loss: 0.4277 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9544 - val_loss: 0.4179 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9723 - val_loss: 0.3946 - val_categorical_accuracy: 0.9096 - 420ms/epoch - 9ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9712 - val_loss: 0.3996 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9682 - val_loss: 0.4191 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9703 - val_loss: 0.4266 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9684 - val_loss: 0.4041 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9513 - val_loss: 0.4088 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9705 - val_loss: 0.4049 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.1866 - categorical_accuracy: 0.9463 - val_loss: 0.3939 - val_categorical_accuracy: 0.9050 - 429ms/epoch - 9ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9720 - val_loss: 0.4617 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9711 - val_loss: 0.4671 - val_categorical_accuracy: 0.8908 - 390ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.1537 - categorical_accuracy: 0.9515 - val_loss: 0.4319 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9689 - val_loss: 0.4051 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9721 - val_loss: 0.4281 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9679 - val_loss: 0.4237 - val_categorical_accuracy: 0.9070 - 420ms/epoch - 9ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9687 - val_loss: 0.4199 - val_categorical_accuracy: 0.9048 - 430ms/epoch - 9ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.1971 - categorical_accuracy: 0.9441 - val_loss: 0.3956 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9716 - val_loss: 0.4061 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9726 - val_loss: 0.4514 - val_categorical_accuracy: 0.8918 - 404ms/epoch - 8ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9690 - val_loss: 0.4382 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.1533 - categorical_accuracy: 0.9526 - val_loss: 0.3834 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9722 - val_loss: 0.4371 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9689 - val_loss: 0.4141 - val_categorical_accuracy: 0.9068 - 430ms/epoch - 9ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9728 - val_loss: 0.4154 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9709 - val_loss: 0.4428 - val_categorical_accuracy: 0.8973 - 390ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9691 - val_loss: 0.4265 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9481 - val_loss: 0.3913 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9714 - val_loss: 0.4166 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9711 - val_loss: 0.4174 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9733 - val_loss: 0.4260 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0886 - categorical_accuracy: 0.9688 - val_loss: 0.4088 - val_categorical_accuracy: 0.9111 - 430ms/epoch - 9ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9462 - val_loss: 0.4028 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9700 - val_loss: 0.4127 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9697 - val_loss: 0.4216 - val_categorical_accuracy: 0.9067 - 394ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9702 - val_loss: 0.4106 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9724 - val_loss: 0.4315 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.2213 - categorical_accuracy: 0.9399 - val_loss: 0.4215 - val_categorical_accuracy: 0.8852 - 390ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9680 - val_loss: 0.3867 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9727 - val_loss: 0.3955 - val_categorical_accuracy: 0.9134 - 415ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9729 - val_loss: 0.5859 - val_categorical_accuracy: 0.8666 - 430ms/epoch - 9ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.1939 - categorical_accuracy: 0.9455 - val_loss: 0.3873 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9721 - val_loss: 0.4565 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9712 - val_loss: 0.4169 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9710 - val_loss: 0.4168 - val_categorical_accuracy: 0.9112 - 394ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9724 - val_loss: 0.4415 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.1747 - categorical_accuracy: 0.9456 - val_loss: 0.3896 - val_categorical_accuracy: 0.9123 - 420ms/epoch - 9ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9723 - val_loss: 0.4765 - val_categorical_accuracy: 0.8910 - 410ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.1957 - categorical_accuracy: 0.9429 - val_loss: 0.3825 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9721 - val_loss: 0.3945 - val_categorical_accuracy: 0.9103 - 400ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9725 - val_loss: 0.4382 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9729 - val_loss: 0.4141 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9726 - val_loss: 0.4114 - val_categorical_accuracy: 0.9104 - 430ms/epoch - 9ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9729 - val_loss: 0.4203 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9674 - val_loss: 0.4214 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9731 - val_loss: 0.4393 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9728 - val_loss: 0.4302 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9720 - val_loss: 0.4772 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.3653 - categorical_accuracy: 0.9035 - val_loss: 0.3889 - val_categorical_accuracy: 0.9052 - 420ms/epoch - 9ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9714 - val_loss: 0.4023 - val_categorical_accuracy: 0.9080 - 394ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9739 - val_loss: 0.4088 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9740 - val_loss: 0.4337 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9731 - val_loss: 0.5030 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.2328 - categorical_accuracy: 0.9384 - val_loss: 0.4039 - val_categorical_accuracy: 0.9047 - 410ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9702 - val_loss: 0.4144 - val_categorical_accuracy: 0.9064 - 420ms/epoch - 9ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9736 - val_loss: 0.4189 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9744 - val_loss: 0.4127 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9715 - val_loss: 0.4352 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9731 - val_loss: 0.4608 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0938 - categorical_accuracy: 0.9668 - val_loss: 0.4387 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9715 - val_loss: 0.4164 - val_categorical_accuracy: 0.9079 - 420ms/epoch - 9ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9734 - val_loss: 0.4328 - val_categorical_accuracy: 0.9066 - 430ms/epoch - 9ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9734 - val_loss: 0.4156 - val_categorical_accuracy: 0.9122 - 394ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9540 - val_loss: 0.4127 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9727 - val_loss: 0.4465 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9728 - val_loss: 0.4277 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9702 - val_loss: 0.6322 - val_categorical_accuracy: 0.8566 - 390ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.1542 - categorical_accuracy: 0.9539 - val_loss: 0.4073 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9730 - val_loss: 0.4300 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9730 - val_loss: 0.4133 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9736 - val_loss: 0.4348 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9674 - val_loss: 0.4204 - val_categorical_accuracy: 0.9083 - 420ms/epoch - 9ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9713 - val_loss: 0.4351 - val_categorical_accuracy: 0.9050 - 440ms/epoch - 9ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9534 - val_loss: 0.4175 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9728 - val_loss: 0.4442 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9727 - val_loss: 0.4466 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9716 - val_loss: 0.4282 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9739 - val_loss: 0.4239 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9664 - val_loss: 0.8225 - val_categorical_accuracy: 0.8161 - 400ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.2297 - categorical_accuracy: 0.9340 - val_loss: 0.4121 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9729 - val_loss: 0.4224 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9698 - val_loss: 0.4221 - val_categorical_accuracy: 0.9090 - 410ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9745 - val_loss: 0.4272 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9734 - val_loss: 0.4684 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.1669 - categorical_accuracy: 0.9484 - val_loss: 0.4457 - val_categorical_accuracy: 0.8947 - 404ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9709 - val_loss: 0.4415 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9727 - val_loss: 0.4177 - val_categorical_accuracy: 0.9087 - 410ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9734 - val_loss: 0.4267 - val_categorical_accuracy: 0.9085 - 430ms/epoch - 9ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.2536 - categorical_accuracy: 0.9326 - val_loss: 0.3915 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9712 - val_loss: 0.3985 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9736 - val_loss: 0.4066 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9738 - val_loss: 0.4037 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9722 - val_loss: 0.4965 - val_categorical_accuracy: 0.8885 - 400ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9565 - val_loss: 0.4267 - val_categorical_accuracy: 0.9019 - 410ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9734 - val_loss: 0.4277 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9732 - val_loss: 0.4363 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9707 - val_loss: 0.4586 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9719 - val_loss: 0.4868 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9715 - val_loss: 0.4182 - val_categorical_accuracy: 0.9154 - 410ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9750 - val_loss: 0.4446 - val_categorical_accuracy: 0.9061 - 434ms/epoch - 9ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9724 - val_loss: 0.4487 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9719 - val_loss: 0.4526 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9728 - val_loss: 0.4325 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.1746 - categorical_accuracy: 0.9499 - val_loss: 0.4057 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9741 - val_loss: 0.4238 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9737 - val_loss: 0.4166 - val_categorical_accuracy: 0.9135 - 410ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9726 - val_loss: 0.4235 - val_categorical_accuracy: 0.9111 - 430ms/epoch - 9ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9737 - val_loss: 0.4677 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9720 - val_loss: 0.4207 - val_categorical_accuracy: 0.9124 - 390ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9752 - val_loss: 0.4522 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9689 - val_loss: 0.4489 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9688 - val_loss: 0.4589 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.1780 - categorical_accuracy: 0.9475 - val_loss: 0.4439 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9730 - val_loss: 0.4187 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9731 - val_loss: 0.4389 - val_categorical_accuracy: 0.9074 - 430ms/epoch - 9ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9741 - val_loss: 0.4284 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9747 - val_loss: 0.4656 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9733 - val_loss: 0.4581 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9479 - val_loss: 0.4645 - val_categorical_accuracy: 0.8893 - 400ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9704 - val_loss: 0.4262 - val_categorical_accuracy: 0.9090 - 415ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9710 - val_loss: 0.4361 - val_categorical_accuracy: 0.9053 - 410ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9742 - val_loss: 0.4462 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9745 - val_loss: 0.4601 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9722 - val_loss: 0.5823 - val_categorical_accuracy: 0.8689 - 410ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.2136 - categorical_accuracy: 0.9456 - val_loss: 0.4619 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9729 - val_loss: 0.4214 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9741 - val_loss: 0.4536 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9723 - val_loss: 0.4555 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9715 - val_loss: 0.4284 - val_categorical_accuracy: 0.9075 - 410ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9748 - val_loss: 0.4277 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9748 - val_loss: 0.4958 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.7058 - categorical_accuracy: 0.8273 - val_loss: 0.6321 - val_categorical_accuracy: 0.7714 - 400ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.2845 - categorical_accuracy: 0.8962 - val_loss: 0.4146 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.1278 - categorical_accuracy: 0.9548 - val_loss: 0.3836 - val_categorical_accuracy: 0.9046 - 410ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9673 - val_loss: 0.4028 - val_categorical_accuracy: 0.9053 - 430ms/epoch - 9ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9690 - val_loss: 0.3994 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9729 - val_loss: 0.4165 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9712 - val_loss: 0.4209 - val_categorical_accuracy: 0.9091 - 394ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9732 - val_loss: 0.4688 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9717 - val_loss: 0.4684 - val_categorical_accuracy: 0.8956 - 410ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.1624 - categorical_accuracy: 0.9500 - val_loss: 0.4190 - val_categorical_accuracy: 0.9033 - 420ms/epoch - 9ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9735 - val_loss: 0.4413 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9735 - val_loss: 0.4452 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0846 - categorical_accuracy: 0.9696 - val_loss: 0.4562 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9741 - val_loss: 0.4634 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9721 - val_loss: 0.4581 - val_categorical_accuracy: 0.8977 - 390ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9708 - val_loss: 0.6689 - val_categorical_accuracy: 0.8534 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.1581 - categorical_accuracy: 0.9518 - val_loss: 0.4185 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 1s - loss: 0.0733 - categorical_accuracy: 0.9744 - val_loss: 0.4234 - val_categorical_accuracy: 0.9038 - 570ms/epoch - 12ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9738 - val_loss: 0.4738 - val_categorical_accuracy: 0.8951 - 435ms/epoch - 9ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.1611 - categorical_accuracy: 0.9516 - val_loss: 0.4607 - val_categorical_accuracy: 0.8924 - 430ms/epoch - 9ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9736 - val_loss: 0.4317 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9743 - val_loss: 0.4197 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9752 - val_loss: 0.4743 - val_categorical_accuracy: 0.8930 - 384ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9724 - val_loss: 0.4296 - val_categorical_accuracy: 0.9091 - 406ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9746 - val_loss: 0.4406 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.1488 - categorical_accuracy: 0.9516 - val_loss: 0.4199 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9746 - val_loss: 0.4499 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9737 - val_loss: 0.4390 - val_categorical_accuracy: 0.9060 - 394ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9729 - val_loss: 0.4576 - val_categorical_accuracy: 0.9036 - 406ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9754 - val_loss: 0.4387 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9752 - val_loss: 0.4204 - val_categorical_accuracy: 0.9164 - 400ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9725 - val_loss: 0.4557 - val_categorical_accuracy: 0.9060 - 440ms/epoch - 9ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9746 - val_loss: 0.4848 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.1215 - categorical_accuracy: 0.9582 - val_loss: 0.4384 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9610 - val_loss: 0.4285 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9746 - val_loss: 0.4323 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9744 - val_loss: 0.4243 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9742 - val_loss: 0.4805 - val_categorical_accuracy: 0.9029 - 394ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9748 - val_loss: 0.4985 - val_categorical_accuracy: 0.8985 - 386ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9731 - val_loss: 0.4443 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9753 - val_loss: 0.4700 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.1292 - categorical_accuracy: 0.9616 - val_loss: 0.4956 - val_categorical_accuracy: 0.8827 - 390ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9718 - val_loss: 0.4394 - val_categorical_accuracy: 0.9110 - 394ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9747 - val_loss: 0.4627 - val_categorical_accuracy: 0.9090 - 396ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9718 - val_loss: 0.4539 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9744 - val_loss: 0.4393 - val_categorical_accuracy: 0.9109 - 420ms/epoch - 9ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.2076 - categorical_accuracy: 0.9412 - val_loss: 0.4120 - val_categorical_accuracy: 0.9101 - 430ms/epoch - 9ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9742 - val_loss: 0.4162 - val_categorical_accuracy: 0.9156 - 394ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9753 - val_loss: 0.4608 - val_categorical_accuracy: 0.9061 - 396ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9742 - val_loss: 0.4415 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9742 - val_loss: 0.4360 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9751 - val_loss: 0.4435 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9742 - val_loss: 0.7386 - val_categorical_accuracy: 0.8468 - 390ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.2158 - categorical_accuracy: 0.9385 - val_loss: 0.4159 - val_categorical_accuracy: 0.9132 - 412ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9758 - val_loss: 0.4176 - val_categorical_accuracy: 0.9115 - 400ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9751 - val_loss: 0.4573 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9738 - val_loss: 0.4405 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9754 - val_loss: 0.4931 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9714 - val_loss: 0.4371 - val_categorical_accuracy: 0.9102 - 415ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9759 - val_loss: 0.4507 - val_categorical_accuracy: 0.9112 - 430ms/epoch - 9ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9743 - val_loss: 0.4703 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9750 - val_loss: 0.4535 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9756 - val_loss: 0.4802 - val_categorical_accuracy: 0.9038 - 394ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.2141 - categorical_accuracy: 0.9395 - val_loss: 0.4495 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9749 - val_loss: 0.4522 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9753 - val_loss: 0.4343 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9757 - val_loss: 0.4989 - val_categorical_accuracy: 0.8976 - 410ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9722 - val_loss: 0.4688 - val_categorical_accuracy: 0.9025 - 424ms/epoch - 9ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9752 - val_loss: 0.4694 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9750 - val_loss: 0.4578 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9761 - val_loss: 0.4524 - val_categorical_accuracy: 0.9103 - 410ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9750 - val_loss: 0.4646 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9726 - val_loss: 0.4868 - val_categorical_accuracy: 0.9018 - 404ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.2508 - categorical_accuracy: 0.9456 - val_loss: 0.6754 - val_categorical_accuracy: 0.7978 - 396ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9511 - val_loss: 0.4353 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9756 - val_loss: 0.4442 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9719 - val_loss: 0.4295 - val_categorical_accuracy: 0.9103 - 420ms/epoch - 9ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9762 - val_loss: 0.4399 - val_categorical_accuracy: 0.9111 - 394ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9763 - val_loss: 0.4491 - val_categorical_accuracy: 0.9086 - 406ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9721 - val_loss: 0.5022 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9742 - val_loss: 0.5028 - val_categorical_accuracy: 0.8954 - 400ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9721 - val_loss: 0.4644 - val_categorical_accuracy: 0.9016 - 394ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9741 - val_loss: 0.4894 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9755 - val_loss: 0.4617 - val_categorical_accuracy: 0.9075 - 413ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9751 - val_loss: 0.4600 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.2086 - categorical_accuracy: 0.9384 - val_loss: 0.4146 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9755 - val_loss: 0.4484 - val_categorical_accuracy: 0.9064 - 410ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9767 - val_loss: 0.4551 - val_categorical_accuracy: 0.9061 - 394ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9744 - val_loss: 0.4567 - val_categorical_accuracy: 0.9078 - 396ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9725 - val_loss: 0.4509 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9755 - val_loss: 0.5138 - val_categorical_accuracy: 0.8923 - 390ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9728 - val_loss: 0.4821 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9746 - val_loss: 0.4576 - val_categorical_accuracy: 0.9089 - 420ms/epoch - 9ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9758 - val_loss: 0.4431 - val_categorical_accuracy: 0.9151 - 438ms/epoch - 9ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.1425 - categorical_accuracy: 0.9575 - val_loss: 0.4309 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9756 - val_loss: 0.4482 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9752 - val_loss: 0.4491 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9760 - val_loss: 0.5221 - val_categorical_accuracy: 0.8911 - 394ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.4022 - categorical_accuracy: 0.9034 - val_loss: 0.3936 - val_categorical_accuracy: 0.9074 - 386ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9734 - val_loss: 0.4214 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9764 - val_loss: 0.4220 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9773 - val_loss: 0.4450 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9747 - val_loss: 0.4257 - val_categorical_accuracy: 0.9127 - 424ms/epoch - 9ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9760 - val_loss: 0.4624 - val_categorical_accuracy: 0.9054 - 396ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.1240 - categorical_accuracy: 0.9615 - val_loss: 0.4364 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9758 - val_loss: 0.4349 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9755 - val_loss: 0.4347 - val_categorical_accuracy: 0.9135 - 390ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9777 - val_loss: 0.4352 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9766 - val_loss: 0.4576 - val_categorical_accuracy: 0.9063 - 415ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9772 - val_loss: 0.4855 - val_categorical_accuracy: 0.9016 - 440ms/epoch - 9ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.1587 - categorical_accuracy: 0.9524 - val_loss: 0.4497 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9770 - val_loss: 0.4330 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4455 - val_categorical_accuracy: 0.9112 - 394ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9757 - val_loss: 0.4694 - val_categorical_accuracy: 0.9043 - 396ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9766 - val_loss: 0.4420 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9776 - val_loss: 0.4830 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9713 - val_loss: 0.4638 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9546 - val_loss: 0.4400 - val_categorical_accuracy: 0.9086 - 420ms/epoch - 9ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9714 - val_loss: 0.4474 - val_categorical_accuracy: 0.9081 - 428ms/epoch - 9ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9769 - val_loss: 0.4449 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9763 - val_loss: 0.4635 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9744 - val_loss: 0.4753 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9768 - val_loss: 0.4848 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9758 - val_loss: 0.4646 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.4723 - val_categorical_accuracy: 0.9082 - 410ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9753 - val_loss: 0.4858 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.1607 - categorical_accuracy: 0.9527 - val_loss: 0.7114 - val_categorical_accuracy: 0.8390 - 390ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.1153 - categorical_accuracy: 0.9616 - val_loss: 0.4530 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.4617 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9765 - val_loss: 0.4673 - val_categorical_accuracy: 0.9035 - 420ms/epoch - 9ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4515 - val_categorical_accuracy: 0.9115 - 430ms/epoch - 9ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9720 - val_loss: 0.4624 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9755 - val_loss: 0.4438 - val_categorical_accuracy: 0.9124 - 390ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9772 - val_loss: 0.5296 - val_categorical_accuracy: 0.8912 - 392ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9752 - val_loss: 0.4566 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9740 - val_loss: 0.4732 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9757 - val_loss: 0.4811 - val_categorical_accuracy: 0.9064 - 410ms/epoch - 8ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.4964 - val_categorical_accuracy: 0.9032 - 434ms/epoch - 9ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9756 - val_loss: 0.4814 - val_categorical_accuracy: 0.9066 - 386ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9774 - val_loss: 0.4705 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.2599 - categorical_accuracy: 0.9311 - val_loss: 0.4110 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9752 - val_loss: 0.4211 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9769 - val_loss: 0.4671 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9729 - val_loss: 0.4640 - val_categorical_accuracy: 0.9073 - 414ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9772 - val_loss: 0.4421 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9711 - val_loss: 0.4560 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9766 - val_loss: 0.4630 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9776 - val_loss: 0.4867 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9727 - val_loss: 0.4447 - val_categorical_accuracy: 0.9158 - 414ms/epoch - 8ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9765 - val_loss: 0.5094 - val_categorical_accuracy: 0.8951 - 429ms/epoch - 9ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9743 - val_loss: 0.4669 - val_categorical_accuracy: 0.9112 - 420ms/epoch - 9ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9771 - val_loss: 0.4831 - val_categorical_accuracy: 0.9027 - 388ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9718 - val_loss: 0.4674 - val_categorical_accuracy: 0.9077 - 394ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9762 - val_loss: 0.4992 - val_categorical_accuracy: 0.9023 - 396ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.2700 - categorical_accuracy: 0.9318 - val_loss: 0.4297 - val_categorical_accuracy: 0.9049 - 395ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9762 - val_loss: 0.4666 - val_categorical_accuracy: 0.9023 - 395ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9779 - val_loss: 0.4834 - val_categorical_accuracy: 0.9042 - 414ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9768 - val_loss: 0.5059 - val_categorical_accuracy: 0.8976 - 414ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9756 - val_loss: 0.4561 - val_categorical_accuracy: 0.9116 - 396ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9778 - val_loss: 0.5786 - val_categorical_accuracy: 0.8816 - 390ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.2602 - categorical_accuracy: 0.9340 - val_loss: 0.4281 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9750 - val_loss: 0.4311 - val_categorical_accuracy: 0.9132 - 385ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9776 - val_loss: 0.4657 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9772 - val_loss: 0.4501 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9782 - val_loss: 0.4817 - val_categorical_accuracy: 0.9058 - 430ms/epoch - 9ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9777 - val_loss: 0.4677 - val_categorical_accuracy: 0.9072 - 430ms/epoch - 9ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9739 - val_loss: 0.4683 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.1409 - categorical_accuracy: 0.9597 - val_loss: 0.4442 - val_categorical_accuracy: 0.8999 - 394ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9740 - val_loss: 0.4629 - val_categorical_accuracy: 0.9074 - 386ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9774 - val_loss: 0.4720 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9766 - val_loss: 0.4557 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9769 - val_loss: 0.4615 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9768 - val_loss: 0.4839 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9750 - val_loss: 0.4604 - val_categorical_accuracy: 0.9121 - 414ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9774 - val_loss: 0.4811 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9754 - val_loss: 0.4665 - val_categorical_accuracy: 0.9145 - 400ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9778 - val_loss: 0.4726 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9769 - val_loss: 0.5195 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9771 - val_loss: 0.4885 - val_categorical_accuracy: 0.9073 - 412ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9745 - val_loss: 1.0981 - val_categorical_accuracy: 0.7947 - 390ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.4718 - categorical_accuracy: 0.8854 - val_loss: 0.4155 - val_categorical_accuracy: 0.9014 - 410ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9725 - val_loss: 0.4566 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9758 - val_loss: 0.4409 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9775 - val_loss: 0.4610 - val_categorical_accuracy: 0.9086 - 388ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9772 - val_loss: 0.4775 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9760 - val_loss: 0.4554 - val_categorical_accuracy: 0.9125 - 420ms/epoch - 9ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9776 - val_loss: 0.4584 - val_categorical_accuracy: 0.9119 - 400ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9766 - val_loss: 0.4908 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9759 - val_loss: 0.4722 - val_categorical_accuracy: 0.9127 - 392ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.4778 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9759 - val_loss: 0.4731 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9746 - val_loss: 0.4704 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9616 - val_loss: 2.7498 - val_categorical_accuracy: 0.5275 - 400ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.2963 - categorical_accuracy: 0.9099 - val_loss: 0.4117 - val_categorical_accuracy: 0.9043 - 412ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9755 - val_loss: 0.4312 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9768 - val_loss: 0.4489 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9766 - val_loss: 0.4449 - val_categorical_accuracy: 0.9138 - 390ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9765 - val_loss: 0.5120 - val_categorical_accuracy: 0.8928 - 390ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9728 - val_loss: 0.4537 - val_categorical_accuracy: 0.9094 - 395ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9778 - val_loss: 0.4619 - val_categorical_accuracy: 0.9144 - 410ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9776 - val_loss: 0.4850 - val_categorical_accuracy: 0.9055 - 430ms/epoch - 9ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9771 - val_loss: 0.4814 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9754 - val_loss: 0.4665 - val_categorical_accuracy: 0.9098 - 394ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9760 - val_loss: 0.5500 - val_categorical_accuracy: 0.8832 - 406ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.1788 - categorical_accuracy: 0.9495 - val_loss: 0.4387 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9781 - val_loss: 0.4334 - val_categorical_accuracy: 0.9151 - 390ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9756 - val_loss: 0.4565 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.5096 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9771 - val_loss: 0.4563 - val_categorical_accuracy: 0.9131 - 414ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.4729 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9753 - val_loss: 0.4912 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9755 - val_loss: 0.6715 - val_categorical_accuracy: 0.8556 - 400ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.1463 - categorical_accuracy: 0.9550 - val_loss: 0.4545 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9772 - val_loss: 0.4777 - val_categorical_accuracy: 0.9034 - 414ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9731 - val_loss: 0.4538 - val_categorical_accuracy: 0.9144 - 390ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9783 - val_loss: 0.4709 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9775 - val_loss: 0.4670 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9771 - val_loss: 0.4752 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9778 - val_loss: 0.4762 - val_categorical_accuracy: 0.9084 - 414ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9778 - val_loss: 0.5941 - val_categorical_accuracy: 0.8782 - 430ms/epoch - 9ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.1842 - categorical_accuracy: 0.9489 - val_loss: 0.4626 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9776 - val_loss: 0.4468 - val_categorical_accuracy: 0.9145 - 400ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9789 - val_loss: 0.4676 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9777 - val_loss: 0.4704 - val_categorical_accuracy: 0.9071 - 382ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9769 - val_loss: 0.5005 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9755 - val_loss: 0.5122 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9771 - val_loss: 0.5080 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9761 - val_loss: 0.4944 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.1446 - categorical_accuracy: 0.9578 - val_loss: 0.4577 - val_categorical_accuracy: 0.9100 - 415ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9765 - val_loss: 0.4928 - val_categorical_accuracy: 0.9019 - 430ms/epoch - 9ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9772 - val_loss: 0.4886 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9734 - val_loss: 0.4842 - val_categorical_accuracy: 0.9077 - 394ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9767 - val_loss: 0.4767 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9790 - val_loss: 0.4747 - val_categorical_accuracy: 0.9103 - 394ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9774 - val_loss: 0.5421 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9769 - val_loss: 0.4628 - val_categorical_accuracy: 0.9158 - 420ms/epoch - 9ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.1551 - categorical_accuracy: 0.9556 - val_loss: 0.6446 - val_categorical_accuracy: 0.8572 - 430ms/epoch - 9ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.1254 - categorical_accuracy: 0.9575 - val_loss: 0.4470 - val_categorical_accuracy: 0.9115 - 390ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9779 - val_loss: 0.4626 - val_categorical_accuracy: 0.9123 - 398ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9786 - val_loss: 0.5240 - val_categorical_accuracy: 0.8953 - 390ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9711 - val_loss: 0.4555 - val_categorical_accuracy: 0.9145 - 410ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9780 - val_loss: 0.4951 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9737 - val_loss: 0.4903 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9778 - val_loss: 0.4760 - val_categorical_accuracy: 0.9096 - 398ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9777 - val_loss: 0.4821 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9779 - val_loss: 0.5109 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.4703 - val_categorical_accuracy: 0.9131 - 400ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9779 - val_loss: 0.5171 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9757 - val_loss: 0.4837 - val_categorical_accuracy: 0.9122 - 398ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9786 - val_loss: 0.5033 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.5011 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9750 - val_loss: 0.6240 - val_categorical_accuracy: 0.8737 - 390ms/epoch - 8ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.1336 - categorical_accuracy: 0.9590 - val_loss: 0.4684 - val_categorical_accuracy: 0.9137 - 390ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9784 - val_loss: 0.4704 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.5209 - val_categorical_accuracy: 0.9001 - 410ms/epoch - 8ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.2326 - categorical_accuracy: 0.9404 - val_loss: 0.5449 - val_categorical_accuracy: 0.8824 - 430ms/epoch - 9ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9760 - val_loss: 0.4617 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9781 - val_loss: 0.4818 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9774 - val_loss: 0.4670 - val_categorical_accuracy: 0.9120 - 398ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9797 - val_loss: 0.4675 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.4871 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9789 - val_loss: 0.5082 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9780 - val_loss: 0.5063 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9764 - val_loss: 0.5038 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9506 - val_loss: 0.4508 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.4843 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9772 - val_loss: 0.4801 - val_categorical_accuracy: 0.9122 - 420ms/epoch - 9ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9785 - val_loss: 0.5061 - val_categorical_accuracy: 0.9049 - 430ms/epoch - 9ms/step
Epoch 1139/1500
49/49 - 1s - loss: 0.0615 - categorical_accuracy: 0.9776 - val_loss: 0.4857 - val_categorical_accuracy: 0.9085 - 558ms/epoch - 11ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9759 - val_loss: 0.5611 - val_categorical_accuracy: 0.8899 - 390ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.2496 - categorical_accuracy: 0.9352 - val_loss: 0.4406 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9777 - val_loss: 0.4475 - val_categorical_accuracy: 0.9115 - 390ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9788 - val_loss: 0.4559 - val_categorical_accuracy: 0.9108 - 430ms/epoch - 9ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.4817 - val_categorical_accuracy: 0.9044 - 460ms/epoch - 9ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9784 - val_loss: 0.4571 - val_categorical_accuracy: 0.9147 - 430ms/epoch - 9ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9792 - val_loss: 0.5017 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.1460 - categorical_accuracy: 0.9569 - val_loss: 0.4553 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9779 - val_loss: 0.4626 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9787 - val_loss: 0.4572 - val_categorical_accuracy: 0.9136 - 390ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9776 - val_loss: 0.4596 - val_categorical_accuracy: 0.9163 - 390ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9797 - val_loss: 0.4749 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9764 - val_loss: 0.4861 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9752 - val_loss: 0.4821 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9769 - val_loss: 0.5238 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9785 - val_loss: 0.4854 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9740 - val_loss: 0.4810 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9780 - val_loss: 0.5033 - val_categorical_accuracy: 0.9050 - 420ms/epoch - 9ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9788 - val_loss: 0.5846 - val_categorical_accuracy: 0.8859 - 430ms/epoch - 9ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.2080 - categorical_accuracy: 0.9455 - val_loss: 0.4695 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9783 - val_loss: 0.4484 - val_categorical_accuracy: 0.9134 - 400ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9791 - val_loss: 0.4659 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9778 - val_loss: 0.4877 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9785 - val_loss: 0.5373 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9536 - val_loss: 0.4794 - val_categorical_accuracy: 0.8937 - 410ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9747 - val_loss: 0.4561 - val_categorical_accuracy: 0.9105 - 420ms/epoch - 9ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9783 - val_loss: 0.4709 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9778 - val_loss: 0.4780 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9789 - val_loss: 0.4852 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9797 - val_loss: 0.5035 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9742 - val_loss: 0.4830 - val_categorical_accuracy: 0.9106 - 410ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9778 - val_loss: 0.5082 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.1668 - categorical_accuracy: 0.9527 - val_loss: 0.4488 - val_categorical_accuracy: 0.9145 - 390ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.4674 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9791 - val_loss: 0.4988 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9563 - val_loss: 0.4507 - val_categorical_accuracy: 0.9123 - 414ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9793 - val_loss: 0.4686 - val_categorical_accuracy: 0.9090 - 436ms/epoch - 9ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.4660 - val_categorical_accuracy: 0.9145 - 390ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9769 - val_loss: 0.4767 - val_categorical_accuracy: 0.9134 - 400ms/epoch - 8ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.4770 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9785 - val_loss: 0.4879 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9792 - val_loss: 0.5052 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9757 - val_loss: 0.4882 - val_categorical_accuracy: 0.9147 - 390ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.1999 - categorical_accuracy: 0.9455 - val_loss: 0.4609 - val_categorical_accuracy: 0.8933 - 420ms/epoch - 9ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9753 - val_loss: 0.4864 - val_categorical_accuracy: 0.9004 - 430ms/epoch - 9ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.4523 - val_categorical_accuracy: 0.9129 - 390ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9795 - val_loss: 0.4761 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9789 - val_loss: 0.4724 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9799 - val_loss: 0.4729 - val_categorical_accuracy: 0.9131 - 394ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9788 - val_loss: 0.5257 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9766 - val_loss: 0.5461 - val_categorical_accuracy: 0.8957 - 410ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.5104 - val_categorical_accuracy: 0.9057 - 440ms/epoch - 9ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.4846 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.4878 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9799 - val_loss: 0.5023 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9792 - val_loss: 0.4914 - val_categorical_accuracy: 0.9131 - 400ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.1841 - categorical_accuracy: 0.9471 - val_loss: 0.4503 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9789 - val_loss: 0.5178 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9781 - val_loss: 0.4565 - val_categorical_accuracy: 0.9151 - 410ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9787 - val_loss: 0.4895 - val_categorical_accuracy: 0.9117 - 440ms/epoch - 9ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9799 - val_loss: 0.4944 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9782 - val_loss: 0.5048 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9763 - val_loss: 0.5623 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.1756 - categorical_accuracy: 0.9519 - val_loss: 0.4713 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9781 - val_loss: 0.4691 - val_categorical_accuracy: 0.9128 - 390ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9801 - val_loss: 0.5495 - val_categorical_accuracy: 0.8907 - 390ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9741 - val_loss: 0.4786 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9805 - val_loss: 0.5100 - val_categorical_accuracy: 0.9046 - 440ms/epoch - 9ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9779 - val_loss: 0.4860 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.4831 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.4809 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.4842 - val_categorical_accuracy: 0.9138 - 390ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9786 - val_loss: 0.5011 - val_categorical_accuracy: 0.9107 - 390ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9774 - val_loss: 0.5238 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9788 - val_loss: 0.4991 - val_categorical_accuracy: 0.9091 - 420ms/epoch - 9ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9796 - val_loss: 0.5070 - val_categorical_accuracy: 0.9070 - 440ms/epoch - 9ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.2197 - categorical_accuracy: 0.9427 - val_loss: 0.4565 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9779 - val_loss: 0.4977 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9792 - val_loss: 0.5450 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9779 - val_loss: 0.4953 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9795 - val_loss: 0.5233 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9775 - val_loss: 0.4935 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9785 - val_loss: 0.4942 - val_categorical_accuracy: 0.9111 - 420ms/epoch - 9ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9757 - val_loss: 0.9771 - val_categorical_accuracy: 0.8349 - 430ms/epoch - 9ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9583 - val_loss: 0.4614 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.4900 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5123 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9788 - val_loss: 0.5247 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9778 - val_loss: 0.4840 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9780 - val_loss: 0.4849 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9786 - val_loss: 0.4987 - val_categorical_accuracy: 0.9113 - 420ms/epoch - 9ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9795 - val_loss: 0.4882 - val_categorical_accuracy: 0.9139 - 430ms/epoch - 9ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9750 - val_loss: 1.2654 - val_categorical_accuracy: 0.7873 - 390ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.1863 - categorical_accuracy: 0.9532 - val_loss: 0.4725 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9747 - val_loss: 1.9051 - val_categorical_accuracy: 0.7746 - 400ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.1441 - categorical_accuracy: 0.9601 - val_loss: 0.4870 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9786 - val_loss: 0.4607 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9799 - val_loss: 0.4607 - val_categorical_accuracy: 0.9148 - 410ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9794 - val_loss: 0.4779 - val_categorical_accuracy: 0.9109 - 444ms/epoch - 9ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.4704 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9799 - val_loss: 0.5380 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9740 - val_loss: 0.5082 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9785 - val_loss: 0.5048 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.4898 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9786 - val_loss: 0.5115 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9775 - val_loss: 0.4992 - val_categorical_accuracy: 0.9066 - 420ms/epoch - 9ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9793 - val_loss: 0.5449 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9772 - val_loss: 0.4944 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9799 - val_loss: 0.5318 - val_categorical_accuracy: 0.9005 - 394ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9797 - val_loss: 0.5096 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.1816 - categorical_accuracy: 0.9505 - val_loss: 0.4476 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9784 - val_loss: 0.4914 - val_categorical_accuracy: 0.9062 - 414ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9787 - val_loss: 0.4774 - val_categorical_accuracy: 0.9156 - 390ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9784 - val_loss: 0.5009 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9785 - val_loss: 0.4933 - val_categorical_accuracy: 0.9119 - 400ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9748 - val_loss: 0.4777 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9802 - val_loss: 0.4882 - val_categorical_accuracy: 0.9153 - 420ms/epoch - 9ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.2302 - categorical_accuracy: 0.9417 - val_loss: 0.4548 - val_categorical_accuracy: 0.9125 - 430ms/epoch - 9ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9790 - val_loss: 0.4575 - val_categorical_accuracy: 0.9139 - 400ms/epoch - 8ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9801 - val_loss: 0.4718 - val_categorical_accuracy: 0.9145 - 390ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.4922 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9802 - val_loss: 0.4949 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5322 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9791 - val_loss: 0.5116 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9794 - val_loss: 0.4996 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9795 - val_loss: 0.5011 - val_categorical_accuracy: 0.9117 - 410ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9750 - val_loss: 0.5043 - val_categorical_accuracy: 0.9079 - 420ms/epoch - 9ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9796 - val_loss: 0.6350 - val_categorical_accuracy: 0.8826 - 400ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.2230 - categorical_accuracy: 0.9434 - val_loss: 0.4496 - val_categorical_accuracy: 0.9127 - 384ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9798 - val_loss: 0.5057 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9803 - val_loss: 0.4951 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9781 - val_loss: 0.4780 - val_categorical_accuracy: 0.9144 - 410ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9798 - val_loss: 0.5133 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9793 - val_loss: 0.5044 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9784 - val_loss: 0.5064 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9796 - val_loss: 0.4859 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9799 - val_loss: 0.4936 - val_categorical_accuracy: 0.9118 - 410ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9792 - val_loss: 0.4962 - val_categorical_accuracy: 0.9107 - 440ms/epoch - 9ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9757 - val_loss: 0.4986 - val_categorical_accuracy: 0.9133 - 434ms/epoch - 9ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9787 - val_loss: 0.5310 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9773 - val_loss: 0.5137 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9793 - val_loss: 0.5758 - val_categorical_accuracy: 0.8928 - 390ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9556 - val_loss: 0.4845 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9789 - val_loss: 0.4772 - val_categorical_accuracy: 0.9130 - 394ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.5078 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9781 - val_loss: 0.5098 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9800 - val_loss: 0.5265 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9794 - val_loss: 0.4998 - val_categorical_accuracy: 0.9120 - 410ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9775 - val_loss: 0.5493 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9766 - val_loss: 0.5098 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9808 - val_loss: 0.5158 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.5248 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.5345 - val_categorical_accuracy: 0.9053 - 410ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9758 - val_loss: 0.5304 - val_categorical_accuracy: 0.9039 - 434ms/epoch - 9ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.5202 - val_categorical_accuracy: 0.9065 - 420ms/epoch - 9ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9799 - val_loss: 0.5040 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5303 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9787 - val_loss: 0.5168 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.3432 - categorical_accuracy: 0.9209 - val_loss: 0.4938 - val_categorical_accuracy: 0.8631 - 390ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.1008 - categorical_accuracy: 0.9634 - val_loss: 0.4529 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9789 - val_loss: 0.4870 - val_categorical_accuracy: 0.9034 - 410ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9799 - val_loss: 0.4737 - val_categorical_accuracy: 0.9132 - 440ms/epoch - 9ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9808 - val_loss: 0.5025 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9797 - val_loss: 0.4849 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9800 - val_loss: 0.5271 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9798 - val_loss: 0.5126 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9788 - val_loss: 0.5324 - val_categorical_accuracy: 0.9031 - 410ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.1935 - categorical_accuracy: 0.9462 - val_loss: 0.4789 - val_categorical_accuracy: 0.9040 - 420ms/epoch - 9ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9790 - val_loss: 0.4788 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.1356 - categorical_accuracy: 0.9632 - val_loss: 0.4837 - val_categorical_accuracy: 0.8861 - 390ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9759 - val_loss: 0.4666 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9804 - val_loss: 0.4895 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9803 - val_loss: 0.4689 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9809 - val_loss: 0.4868 - val_categorical_accuracy: 0.9135 - 415ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9809 - val_loss: 0.5001 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.4814 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5608 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9793 - val_loss: 0.5340 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9594 - val_loss: 0.4809 - val_categorical_accuracy: 0.9020 - 414ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9777 - val_loss: 0.4730 - val_categorical_accuracy: 0.9144 - 428ms/epoch - 9ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.4968 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9798 - val_loss: 0.4849 - val_categorical_accuracy: 0.9139 - 390ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5245 - val_categorical_accuracy: 0.9110 - 397ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.4907 - val_categorical_accuracy: 0.9120 - 400ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9794 - val_loss: 0.5028 - val_categorical_accuracy: 0.9110 - 401ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9802 - val_loss: 0.5667 - val_categorical_accuracy: 0.8957 - 414ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9790 - val_loss: 0.5218 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9790 - val_loss: 0.5076 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9807 - val_loss: 0.5157 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.2651 - categorical_accuracy: 0.9274 - val_loss: 0.4596 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9783 - val_loss: 0.5000 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9801 - val_loss: 0.4893 - val_categorical_accuracy: 0.9100 - 410ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9810 - val_loss: 0.4797 - val_categorical_accuracy: 0.9149 - 440ms/epoch - 9ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9770 - val_loss: 0.5018 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5336 - val_categorical_accuracy: 0.9017 - 410ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.2564 - categorical_accuracy: 0.9348 - val_loss: 0.4514 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9801 - val_loss: 0.4896 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.5110 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9792 - val_loss: 0.5229 - val_categorical_accuracy: 0.9033 - 395ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.5094 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5115 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9801 - val_loss: 0.5132 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9789 - val_loss: 0.4945 - val_categorical_accuracy: 0.9148 - 430ms/epoch - 9ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9801 - val_loss: 0.4936 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9805 - val_loss: 0.5255 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9768 - val_loss: 0.4896 - val_categorical_accuracy: 0.9174 - 390ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9811 - val_loss: 0.5145 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9782 - val_loss: 0.6030 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.1459 - categorical_accuracy: 0.9593 - val_loss: 0.4780 - val_categorical_accuracy: 0.9108 - 430ms/epoch - 9ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5146 - val_categorical_accuracy: 0.9072 - 430ms/epoch - 9ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9800 - val_loss: 0.4947 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5308 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9797 - val_loss: 0.5226 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9784 - val_loss: 0.4848 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9810 - val_loss: 0.5152 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9784 - val_loss: 0.4929 - val_categorical_accuracy: 0.9168 - 410ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9802 - val_loss: 0.5423 - val_categorical_accuracy: 0.9031 - 440ms/epoch - 9ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9791 - val_loss: 0.5048 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9805 - val_loss: 0.5044 - val_categorical_accuracy: 0.9111 - 394ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9792 - val_loss: 0.5481 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9800 - val_loss: 0.5048 - val_categorical_accuracy: 0.9151 - 400ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9787 - val_loss: 0.5342 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9795 - val_loss: 0.5625 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.2724 - categorical_accuracy: 0.9313 - val_loss: 0.4632 - val_categorical_accuracy: 0.9135 - 420ms/epoch - 9ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.4927 - val_categorical_accuracy: 0.9096 - 410ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.5262 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9804 - val_loss: 0.5151 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.4976 - val_categorical_accuracy: 0.9131 - 400ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9811 - val_loss: 0.5041 - val_categorical_accuracy: 0.9131 - 394ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9804 - val_loss: 0.5249 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9790 - val_loss: 0.5275 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5374 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.2189 - categorical_accuracy: 0.9426 - val_loss: 0.4912 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9796 - val_loss: 0.4855 - val_categorical_accuracy: 0.9135 - 390ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9812 - val_loss: 0.4969 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9754 - val_loss: 0.5178 - val_categorical_accuracy: 0.9053 - 420ms/epoch - 9ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9804 - val_loss: 0.5268 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9806 - val_loss: 0.5097 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9819 - val_loss: 0.5239 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.5068 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9784 - val_loss: 0.5565 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9780 - val_loss: 0.5369 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9803 - val_loss: 0.5949 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9473 - val_loss: 0.4750 - val_categorical_accuracy: 0.9098 - 420ms/epoch - 9ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9805 - val_loss: 0.4864 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9810 - val_loss: 0.5067 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5038 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9814 - val_loss: 0.5098 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9806 - val_loss: 0.5683 - val_categorical_accuracy: 0.9000 - 410ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.1591 - categorical_accuracy: 0.9559 - val_loss: 0.4906 - val_categorical_accuracy: 0.9087 - 430ms/epoch - 9ms/step
Epoch 1390/1500
49/49 - 1s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.4902 - val_categorical_accuracy: 0.9121 - 560ms/epoch - 11ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9815 - val_loss: 0.4967 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.4967 - val_categorical_accuracy: 0.9147 - 400ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9811 - val_loss: 0.5348 - val_categorical_accuracy: 0.9063 - 394ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9763 - val_loss: 0.5694 - val_categorical_accuracy: 0.8999 - 440ms/epoch - 9ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9791 - val_loss: 0.5028 - val_categorical_accuracy: 0.9130 - 440ms/epoch - 9ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9813 - val_loss: 0.5901 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.2099 - categorical_accuracy: 0.9449 - val_loss: 0.4649 - val_categorical_accuracy: 0.9158 - 390ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9813 - val_loss: 0.5233 - val_categorical_accuracy: 0.9062 - 385ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5300 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9802 - val_loss: 0.4986 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9796 - val_loss: 0.5173 - val_categorical_accuracy: 0.9115 - 390ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9812 - val_loss: 0.5195 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.5065 - val_categorical_accuracy: 0.9136 - 394ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.1293 - categorical_accuracy: 0.9629 - val_loss: 0.4940 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9792 - val_loss: 0.5108 - val_categorical_accuracy: 0.9088 - 420ms/epoch - 9ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5245 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.5019 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.5137 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9811 - val_loss: 0.5858 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9784 - val_loss: 0.5094 - val_categorical_accuracy: 0.9150 - 420ms/epoch - 9ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9806 - val_loss: 0.5503 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5119 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9767 - val_loss: 0.5351 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9800 - val_loss: 0.5232 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5206 - val_categorical_accuracy: 0.9122 - 420ms/epoch - 9ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.5143 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9817 - val_loss: 0.5812 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.5147 - categorical_accuracy: 0.8714 - val_loss: 0.4277 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9726 - val_loss: 0.4731 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.4737 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9802 - val_loss: 0.5153 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9799 - val_loss: 0.5007 - val_categorical_accuracy: 0.9134 - 390ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9806 - val_loss: 0.5452 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9798 - val_loss: 0.5141 - val_categorical_accuracy: 0.9099 - 410ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9808 - val_loss: 0.5036 - val_categorical_accuracy: 0.9139 - 400ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9817 - val_loss: 0.5209 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9814 - val_loss: 0.5224 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9809 - val_loss: 0.5363 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9815 - val_loss: 0.5294 - val_categorical_accuracy: 0.9101 - 420ms/epoch - 9ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9798 - val_loss: 0.5379 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9807 - val_loss: 0.5211 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9803 - val_loss: 0.5362 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9800 - val_loss: 0.5467 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9788 - val_loss: 0.5111 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9815 - val_loss: 0.5327 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.5137 - val_categorical_accuracy: 0.9143 - 400ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9794 - val_loss: 0.6577 - val_categorical_accuracy: 0.8825 - 410ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.1503 - categorical_accuracy: 0.9594 - val_loss: 0.5116 - val_categorical_accuracy: 0.9067 - 430ms/epoch - 9ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9792 - val_loss: 0.5106 - val_categorical_accuracy: 0.9093 - 430ms/epoch - 9ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9812 - val_loss: 0.5087 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9815 - val_loss: 0.5268 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9799 - val_loss: 0.5268 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9817 - val_loss: 0.5301 - val_categorical_accuracy: 0.9147 - 390ms/epoch - 8ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9821 - val_loss: 0.5243 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9815 - val_loss: 0.6171 - val_categorical_accuracy: 0.8960 - 400ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.3025 - categorical_accuracy: 0.9247 - val_loss: 0.4705 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9796 - val_loss: 0.4741 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9797 - val_loss: 0.5053 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9815 - val_loss: 0.5037 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9808 - val_loss: 0.5052 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9821 - val_loss: 0.5314 - val_categorical_accuracy: 0.9067 - 420ms/epoch - 9ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9808 - val_loss: 0.5228 - val_categorical_accuracy: 0.9101 - 440ms/epoch - 9ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9812 - val_loss: 0.5142 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9795 - val_loss: 0.5107 - val_categorical_accuracy: 0.9151 - 400ms/epoch - 8ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9814 - val_loss: 0.5400 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9801 - val_loss: 0.5403 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9792 - val_loss: 0.5255 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9773 - val_loss: 0.6034 - val_categorical_accuracy: 0.8906 - 390ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.1462 - categorical_accuracy: 0.9591 - val_loss: 0.4938 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9812 - val_loss: 0.5408 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9769 - val_loss: 0.5014 - val_categorical_accuracy: 0.9161 - 390ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9815 - val_loss: 0.5018 - val_categorical_accuracy: 0.9167 - 400ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9792 - val_loss: 0.5711 - val_categorical_accuracy: 0.8998 - 410ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9807 - val_loss: 0.5454 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9798 - val_loss: 0.5157 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9805 - val_loss: 0.5226 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9814 - val_loss: 0.5310 - val_categorical_accuracy: 0.9128 - 400ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9807 - val_loss: 0.5141 - val_categorical_accuracy: 0.9122 - 420ms/epoch - 9ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9444 - val_loss: 0.4675 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9791 - val_loss: 0.4868 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9815 - val_loss: 0.5218 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9817 - val_loss: 0.5024 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9809 - val_loss: 0.5015 - val_categorical_accuracy: 0.9144 - 400ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9816 - val_loss: 0.5171 - val_categorical_accuracy: 0.9129 - 420ms/epoch - 9ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9797 - val_loss: 0.5562 - val_categorical_accuracy: 0.9023 - 425ms/epoch - 9ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9795 - val_loss: 0.5365 - val_categorical_accuracy: 0.9103 - 394ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9808 - val_loss: 0.5194 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9806 - val_loss: 0.5552 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9808 - val_loss: 0.5597 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9781 - val_loss: 0.5375 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9814 - val_loss: 0.5248 - val_categorical_accuracy: 0.9145 - 390ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5375 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9809 - val_loss: 0.5437 - val_categorical_accuracy: 0.9131 - 410ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9822 - val_loss: 0.5442 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9798 - val_loss: 0.5374 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9807 - val_loss: 0.5696 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9780 - val_loss: 0.5652 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9800 - val_loss: 0.5633 - val_categorical_accuracy: 0.9054 - 415ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.2610 - categorical_accuracy: 0.9337 - val_loss: 0.4922 - val_categorical_accuracy: 0.9079 - 430ms/epoch - 9ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9801 - val_loss: 0.5014 - val_categorical_accuracy: 0.9139 - 430ms/epoch - 9ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9822 - val_loss: 0.5253 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9812 - val_loss: 0.5226 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9811 - val_loss: 0.5263 - val_categorical_accuracy: 0.9090 - 394ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.5314 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9814 - val_loss: 0.5347 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9813 - val_loss: 0.5285 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5457 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.2137 - categorical_accuracy: 0.9474 - val_loss: 0.4861 - val_categorical_accuracy: 0.9067 - 420ms/epoch - 9ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9794 - val_loss: 0.5012 - val_categorical_accuracy: 0.9134 - 390ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9822 - val_loss: 0.5082 - val_categorical_accuracy: 0.9155 - 390ms/epoch - 8ms/step
processing fold # 7 
Epoch 1/1500
49/49 - 1s - loss: 1.9032 - categorical_accuracy: 0.3568 - val_loss: 1.8721 - val_categorical_accuracy: 0.3580 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8459 - categorical_accuracy: 0.3643 - val_loss: 1.8407 - val_categorical_accuracy: 0.3580 - 390ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8070 - categorical_accuracy: 0.3643 - val_loss: 1.7951 - val_categorical_accuracy: 0.3580 - 390ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7406 - categorical_accuracy: 0.4003 - val_loss: 1.7690 - val_categorical_accuracy: 0.4271 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6760 - categorical_accuracy: 0.4422 - val_loss: 1.6343 - val_categorical_accuracy: 0.4648 - 404ms/epoch - 8ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.5823 - categorical_accuracy: 0.4626 - val_loss: 1.5801 - val_categorical_accuracy: 0.4719 - 410ms/epoch - 8ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5083 - categorical_accuracy: 0.4831 - val_loss: 1.4161 - val_categorical_accuracy: 0.5173 - 390ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4489 - categorical_accuracy: 0.5049 - val_loss: 1.4640 - val_categorical_accuracy: 0.4833 - 400ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.3846 - categorical_accuracy: 0.5263 - val_loss: 1.3412 - val_categorical_accuracy: 0.5364 - 400ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3381 - categorical_accuracy: 0.5374 - val_loss: 1.2843 - val_categorical_accuracy: 0.5529 - 390ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3040 - categorical_accuracy: 0.5515 - val_loss: 1.4114 - val_categorical_accuracy: 0.5064 - 430ms/epoch - 9ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2521 - categorical_accuracy: 0.5635 - val_loss: 1.2934 - val_categorical_accuracy: 0.5463 - 430ms/epoch - 9ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2374 - categorical_accuracy: 0.5661 - val_loss: 1.2595 - val_categorical_accuracy: 0.5470 - 430ms/epoch - 9ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2177 - categorical_accuracy: 0.5702 - val_loss: 1.3503 - val_categorical_accuracy: 0.5359 - 400ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1748 - categorical_accuracy: 0.5819 - val_loss: 1.2543 - val_categorical_accuracy: 0.5538 - 390ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1564 - categorical_accuracy: 0.5888 - val_loss: 1.1089 - val_categorical_accuracy: 0.6039 - 390ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1280 - categorical_accuracy: 0.5974 - val_loss: 1.0897 - val_categorical_accuracy: 0.6132 - 400ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1669 - categorical_accuracy: 0.5865 - val_loss: 1.0962 - val_categorical_accuracy: 0.6111 - 410ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0699 - categorical_accuracy: 0.6152 - val_loss: 1.1649 - val_categorical_accuracy: 0.5729 - 430ms/epoch - 9ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0551 - categorical_accuracy: 0.6180 - val_loss: 1.0217 - val_categorical_accuracy: 0.6296 - 390ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.1129 - categorical_accuracy: 0.6082 - val_loss: 1.0286 - val_categorical_accuracy: 0.6293 - 410ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0081 - categorical_accuracy: 0.6330 - val_loss: 0.9620 - val_categorical_accuracy: 0.6483 - 400ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 0.9948 - categorical_accuracy: 0.6366 - val_loss: 0.9600 - val_categorical_accuracy: 0.6599 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 1.0244 - categorical_accuracy: 0.6319 - val_loss: 0.9999 - val_categorical_accuracy: 0.6368 - 390ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9535 - categorical_accuracy: 0.6515 - val_loss: 0.9224 - val_categorical_accuracy: 0.6607 - 400ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 1.0562 - categorical_accuracy: 0.6264 - val_loss: 1.0390 - val_categorical_accuracy: 0.6086 - 400ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9354 - categorical_accuracy: 0.6588 - val_loss: 0.9006 - val_categorical_accuracy: 0.6720 - 400ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9101 - categorical_accuracy: 0.6677 - val_loss: 0.9115 - val_categorical_accuracy: 0.6671 - 390ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9058 - categorical_accuracy: 0.6709 - val_loss: 1.0776 - val_categorical_accuracy: 0.6117 - 410ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.8981 - categorical_accuracy: 0.6725 - val_loss: 0.8780 - val_categorical_accuracy: 0.6829 - 400ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8745 - categorical_accuracy: 0.6805 - val_loss: 0.8499 - val_categorical_accuracy: 0.6918 - 390ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.9180 - categorical_accuracy: 0.6667 - val_loss: 0.9733 - val_categorical_accuracy: 0.6426 - 400ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8510 - categorical_accuracy: 0.6864 - val_loss: 0.9753 - val_categorical_accuracy: 0.6393 - 400ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8310 - categorical_accuracy: 0.6949 - val_loss: 1.0091 - val_categorical_accuracy: 0.6334 - 420ms/epoch - 9ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.9017 - categorical_accuracy: 0.6752 - val_loss: 0.8492 - val_categorical_accuracy: 0.6907 - 390ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.8024 - categorical_accuracy: 0.7046 - val_loss: 0.8621 - val_categorical_accuracy: 0.6817 - 400ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8216 - categorical_accuracy: 0.6963 - val_loss: 0.7896 - val_categorical_accuracy: 0.7052 - 390ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7896 - categorical_accuracy: 0.7068 - val_loss: 0.8167 - val_categorical_accuracy: 0.6955 - 390ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.8006 - categorical_accuracy: 0.7062 - val_loss: 0.7477 - val_categorical_accuracy: 0.7235 - 400ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7878 - categorical_accuracy: 0.7091 - val_loss: 0.7646 - val_categorical_accuracy: 0.7139 - 410ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7792 - categorical_accuracy: 0.7144 - val_loss: 0.8171 - val_categorical_accuracy: 0.7024 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7567 - categorical_accuracy: 0.7193 - val_loss: 0.7809 - val_categorical_accuracy: 0.7124 - 390ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7751 - categorical_accuracy: 0.7144 - val_loss: 0.7687 - val_categorical_accuracy: 0.7170 - 400ms/epoch - 8ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7470 - categorical_accuracy: 0.7245 - val_loss: 0.8074 - val_categorical_accuracy: 0.7057 - 390ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7406 - categorical_accuracy: 0.7234 - val_loss: 0.7640 - val_categorical_accuracy: 0.7117 - 414ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7343 - categorical_accuracy: 0.7274 - val_loss: 0.7516 - val_categorical_accuracy: 0.7213 - 420ms/epoch - 9ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7933 - categorical_accuracy: 0.7136 - val_loss: 0.7146 - val_categorical_accuracy: 0.7335 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7266 - categorical_accuracy: 0.7282 - val_loss: 0.7253 - val_categorical_accuracy: 0.7280 - 394ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.6892 - categorical_accuracy: 0.7433 - val_loss: 0.8744 - val_categorical_accuracy: 0.6671 - 406ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7249 - categorical_accuracy: 0.7297 - val_loss: 0.7725 - val_categorical_accuracy: 0.7058 - 390ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.7690 - categorical_accuracy: 0.7225 - val_loss: 0.7256 - val_categorical_accuracy: 0.7226 - 400ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.6821 - categorical_accuracy: 0.7452 - val_loss: 0.6895 - val_categorical_accuracy: 0.7387 - 420ms/epoch - 9ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6795 - categorical_accuracy: 0.7454 - val_loss: 0.8593 - val_categorical_accuracy: 0.6852 - 400ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6710 - categorical_accuracy: 0.7481 - val_loss: 0.6850 - val_categorical_accuracy: 0.7432 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6706 - categorical_accuracy: 0.7488 - val_loss: 0.7239 - val_categorical_accuracy: 0.7234 - 394ms/epoch - 8ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6833 - categorical_accuracy: 0.7449 - val_loss: 0.7117 - val_categorical_accuracy: 0.7338 - 390ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6572 - categorical_accuracy: 0.7512 - val_loss: 0.6688 - val_categorical_accuracy: 0.7530 - 390ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6456 - categorical_accuracy: 0.7580 - val_loss: 0.7866 - val_categorical_accuracy: 0.6970 - 390ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6592 - categorical_accuracy: 0.7524 - val_loss: 0.6499 - val_categorical_accuracy: 0.7557 - 420ms/epoch - 9ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.7473 - categorical_accuracy: 0.7287 - val_loss: 0.6989 - val_categorical_accuracy: 0.7460 - 424ms/epoch - 9ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6229 - categorical_accuracy: 0.7659 - val_loss: 0.6735 - val_categorical_accuracy: 0.7433 - 390ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6127 - categorical_accuracy: 0.7688 - val_loss: 0.6522 - val_categorical_accuracy: 0.7534 - 390ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6408 - categorical_accuracy: 0.7615 - val_loss: 0.7006 - val_categorical_accuracy: 0.7396 - 390ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6316 - categorical_accuracy: 0.7612 - val_loss: 0.6438 - val_categorical_accuracy: 0.7531 - 390ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.6055 - categorical_accuracy: 0.7713 - val_loss: 0.6279 - val_categorical_accuracy: 0.7619 - 400ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6225 - categorical_accuracy: 0.7655 - val_loss: 0.7588 - val_categorical_accuracy: 0.7061 - 410ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.7643 - categorical_accuracy: 0.7310 - val_loss: 0.6242 - val_categorical_accuracy: 0.7657 - 420ms/epoch - 9ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.5833 - categorical_accuracy: 0.7798 - val_loss: 0.5960 - val_categorical_accuracy: 0.7730 - 390ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.6193 - categorical_accuracy: 0.7711 - val_loss: 0.6006 - val_categorical_accuracy: 0.7732 - 390ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5860 - categorical_accuracy: 0.7789 - val_loss: 0.5926 - val_categorical_accuracy: 0.7691 - 390ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5794 - categorical_accuracy: 0.7817 - val_loss: 0.6109 - val_categorical_accuracy: 0.7728 - 390ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.6101 - categorical_accuracy: 0.7719 - val_loss: 0.5827 - val_categorical_accuracy: 0.7827 - 410ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5719 - categorical_accuracy: 0.7842 - val_loss: 0.6184 - val_categorical_accuracy: 0.7699 - 430ms/epoch - 9ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5856 - categorical_accuracy: 0.7812 - val_loss: 0.6747 - val_categorical_accuracy: 0.7406 - 420ms/epoch - 9ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5678 - categorical_accuracy: 0.7859 - val_loss: 0.7161 - val_categorical_accuracy: 0.7517 - 390ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.6135 - categorical_accuracy: 0.7717 - val_loss: 0.6328 - val_categorical_accuracy: 0.7567 - 390ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 1s - loss: 0.5540 - categorical_accuracy: 0.7920 - val_loss: 0.5847 - val_categorical_accuracy: 0.7771 - 560ms/epoch - 11ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5726 - categorical_accuracy: 0.7844 - val_loss: 0.5652 - val_categorical_accuracy: 0.7847 - 390ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5451 - categorical_accuracy: 0.7942 - val_loss: 0.5633 - val_categorical_accuracy: 0.7873 - 390ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5832 - categorical_accuracy: 0.7866 - val_loss: 0.5768 - val_categorical_accuracy: 0.7827 - 430ms/epoch - 9ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5358 - categorical_accuracy: 0.7986 - val_loss: 0.6527 - val_categorical_accuracy: 0.7465 - 430ms/epoch - 9ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5329 - categorical_accuracy: 0.7991 - val_loss: 0.5819 - val_categorical_accuracy: 0.7755 - 390ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5444 - categorical_accuracy: 0.7949 - val_loss: 0.5683 - val_categorical_accuracy: 0.7796 - 400ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5555 - categorical_accuracy: 0.7927 - val_loss: 0.5927 - val_categorical_accuracy: 0.7759 - 400ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5293 - categorical_accuracy: 0.8013 - val_loss: 0.7045 - val_categorical_accuracy: 0.7355 - 394ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5240 - categorical_accuracy: 0.8028 - val_loss: 0.5802 - val_categorical_accuracy: 0.7802 - 390ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5251 - categorical_accuracy: 0.8032 - val_loss: 0.5396 - val_categorical_accuracy: 0.7974 - 420ms/epoch - 9ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5441 - categorical_accuracy: 0.7986 - val_loss: 0.6252 - val_categorical_accuracy: 0.7488 - 440ms/epoch - 9ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5244 - categorical_accuracy: 0.8042 - val_loss: 0.5512 - val_categorical_accuracy: 0.7877 - 400ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.7175 - categorical_accuracy: 0.7580 - val_loss: 0.6236 - val_categorical_accuracy: 0.7726 - 394ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5000 - categorical_accuracy: 0.8154 - val_loss: 0.5475 - val_categorical_accuracy: 0.7917 - 390ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5017 - categorical_accuracy: 0.8129 - val_loss: 0.5527 - val_categorical_accuracy: 0.7944 - 390ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.4984 - categorical_accuracy: 0.8130 - val_loss: 0.5527 - val_categorical_accuracy: 0.7931 - 390ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.5043 - categorical_accuracy: 0.8118 - val_loss: 0.5163 - val_categorical_accuracy: 0.8080 - 390ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4937 - categorical_accuracy: 0.8154 - val_loss: 0.6890 - val_categorical_accuracy: 0.7388 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.5607 - categorical_accuracy: 0.7973 - val_loss: 0.5722 - val_categorical_accuracy: 0.7802 - 390ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4849 - categorical_accuracy: 0.8189 - val_loss: 0.5659 - val_categorical_accuracy: 0.7885 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4859 - categorical_accuracy: 0.8183 - val_loss: 0.6490 - val_categorical_accuracy: 0.7527 - 420ms/epoch - 9ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4871 - categorical_accuracy: 0.8191 - val_loss: 0.5110 - val_categorical_accuracy: 0.8095 - 400ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 1.0302 - categorical_accuracy: 0.6722 - val_loss: 0.6871 - val_categorical_accuracy: 0.7516 - 390ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.5159 - categorical_accuracy: 0.8125 - val_loss: 0.5110 - val_categorical_accuracy: 0.8125 - 400ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4802 - categorical_accuracy: 0.8224 - val_loss: 0.5069 - val_categorical_accuracy: 0.8128 - 400ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4680 - categorical_accuracy: 0.8251 - val_loss: 0.5326 - val_categorical_accuracy: 0.8012 - 410ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4720 - categorical_accuracy: 0.8242 - val_loss: 0.4969 - val_categorical_accuracy: 0.8168 - 430ms/epoch - 9ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4634 - categorical_accuracy: 0.8278 - val_loss: 0.5255 - val_categorical_accuracy: 0.7973 - 390ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4763 - categorical_accuracy: 0.8217 - val_loss: 0.5718 - val_categorical_accuracy: 0.7841 - 390ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4613 - categorical_accuracy: 0.8281 - val_loss: 0.5044 - val_categorical_accuracy: 0.8140 - 390ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4587 - categorical_accuracy: 0.8285 - val_loss: 0.6333 - val_categorical_accuracy: 0.7704 - 390ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.5028 - categorical_accuracy: 0.8158 - val_loss: 0.4776 - val_categorical_accuracy: 0.8226 - 390ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4435 - categorical_accuracy: 0.8351 - val_loss: 0.4812 - val_categorical_accuracy: 0.8256 - 414ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4502 - categorical_accuracy: 0.8332 - val_loss: 0.4887 - val_categorical_accuracy: 0.8163 - 420ms/epoch - 9ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4568 - categorical_accuracy: 0.8287 - val_loss: 0.5339 - val_categorical_accuracy: 0.8000 - 390ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4496 - categorical_accuracy: 0.8329 - val_loss: 0.4850 - val_categorical_accuracy: 0.8234 - 390ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4488 - categorical_accuracy: 0.8321 - val_loss: 0.5079 - val_categorical_accuracy: 0.8111 - 400ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4436 - categorical_accuracy: 0.8348 - val_loss: 0.5101 - val_categorical_accuracy: 0.8066 - 390ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4408 - categorical_accuracy: 0.8354 - val_loss: 0.5155 - val_categorical_accuracy: 0.7976 - 415ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.5244 - categorical_accuracy: 0.8131 - val_loss: 0.4973 - val_categorical_accuracy: 0.8172 - 430ms/epoch - 9ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4190 - categorical_accuracy: 0.8459 - val_loss: 0.5052 - val_categorical_accuracy: 0.8146 - 397ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4314 - categorical_accuracy: 0.8385 - val_loss: 0.4570 - val_categorical_accuracy: 0.8311 - 390ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4358 - categorical_accuracy: 0.8394 - val_loss: 0.4969 - val_categorical_accuracy: 0.8146 - 390ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4314 - categorical_accuracy: 0.8409 - val_loss: 0.5496 - val_categorical_accuracy: 0.7966 - 395ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4352 - categorical_accuracy: 0.8371 - val_loss: 0.4940 - val_categorical_accuracy: 0.8149 - 390ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4248 - categorical_accuracy: 0.8423 - val_loss: 0.5431 - val_categorical_accuracy: 0.7996 - 384ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4255 - categorical_accuracy: 0.8421 - val_loss: 0.5076 - val_categorical_accuracy: 0.8083 - 410ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4274 - categorical_accuracy: 0.8400 - val_loss: 0.5025 - val_categorical_accuracy: 0.8129 - 434ms/epoch - 9ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.9884 - categorical_accuracy: 0.7444 - val_loss: 1.6747 - val_categorical_accuracy: 0.4289 - 390ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 1.2325 - categorical_accuracy: 0.5632 - val_loss: 0.9567 - val_categorical_accuracy: 0.6678 - 400ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.7828 - categorical_accuracy: 0.7233 - val_loss: 0.6873 - val_categorical_accuracy: 0.7467 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.6128 - categorical_accuracy: 0.7746 - val_loss: 0.6835 - val_categorical_accuracy: 0.7365 - 390ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.5462 - categorical_accuracy: 0.7975 - val_loss: 0.5499 - val_categorical_accuracy: 0.7924 - 400ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4928 - categorical_accuracy: 0.8169 - val_loss: 0.5511 - val_categorical_accuracy: 0.7976 - 420ms/epoch - 9ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4802 - categorical_accuracy: 0.8207 - val_loss: 0.5139 - val_categorical_accuracy: 0.8110 - 440ms/epoch - 9ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4759 - categorical_accuracy: 0.8245 - val_loss: 0.5378 - val_categorical_accuracy: 0.7969 - 400ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4482 - categorical_accuracy: 0.8349 - val_loss: 0.5071 - val_categorical_accuracy: 0.8090 - 390ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.4364 - categorical_accuracy: 0.8369 - val_loss: 0.5099 - val_categorical_accuracy: 0.8068 - 390ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.4175 - categorical_accuracy: 0.8458 - val_loss: 0.4766 - val_categorical_accuracy: 0.8251 - 390ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.4238 - categorical_accuracy: 0.8435 - val_loss: 0.5312 - val_categorical_accuracy: 0.7986 - 400ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.4236 - categorical_accuracy: 0.8429 - val_loss: 0.4473 - val_categorical_accuracy: 0.8347 - 390ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.4048 - categorical_accuracy: 0.8501 - val_loss: 0.5027 - val_categorical_accuracy: 0.8119 - 400ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4111 - categorical_accuracy: 0.8479 - val_loss: 0.4443 - val_categorical_accuracy: 0.8355 - 394ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.4119 - categorical_accuracy: 0.8495 - val_loss: 0.4507 - val_categorical_accuracy: 0.8324 - 400ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3999 - categorical_accuracy: 0.8533 - val_loss: 0.4572 - val_categorical_accuracy: 0.8304 - 400ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.4103 - categorical_accuracy: 0.8480 - val_loss: 0.4755 - val_categorical_accuracy: 0.8210 - 420ms/epoch - 9ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3937 - categorical_accuracy: 0.8549 - val_loss: 0.4807 - val_categorical_accuracy: 0.8191 - 390ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.4629 - categorical_accuracy: 0.8333 - val_loss: 0.4627 - val_categorical_accuracy: 0.8315 - 390ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3774 - categorical_accuracy: 0.8627 - val_loss: 0.4318 - val_categorical_accuracy: 0.8416 - 390ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3857 - categorical_accuracy: 0.8580 - val_loss: 0.7834 - val_categorical_accuracy: 0.7509 - 390ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3988 - categorical_accuracy: 0.8530 - val_loss: 0.4452 - val_categorical_accuracy: 0.8344 - 390ms/epoch - 8ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3816 - categorical_accuracy: 0.8602 - val_loss: 0.7332 - val_categorical_accuracy: 0.7548 - 400ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.5271 - categorical_accuracy: 0.8240 - val_loss: 0.4449 - val_categorical_accuracy: 0.8364 - 414ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3728 - categorical_accuracy: 0.8626 - val_loss: 0.4330 - val_categorical_accuracy: 0.8378 - 430ms/epoch - 9ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3758 - categorical_accuracy: 0.8612 - val_loss: 0.4625 - val_categorical_accuracy: 0.8325 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3687 - categorical_accuracy: 0.8639 - val_loss: 0.4704 - val_categorical_accuracy: 0.8276 - 390ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3781 - categorical_accuracy: 0.8616 - val_loss: 0.5043 - val_categorical_accuracy: 0.8065 - 390ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3694 - categorical_accuracy: 0.8636 - val_loss: 0.5467 - val_categorical_accuracy: 0.8079 - 400ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3799 - categorical_accuracy: 0.8625 - val_loss: 0.4562 - val_categorical_accuracy: 0.8359 - 390ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3714 - categorical_accuracy: 0.8637 - val_loss: 0.4488 - val_categorical_accuracy: 0.8353 - 410ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3717 - categorical_accuracy: 0.8628 - val_loss: 0.4850 - val_categorical_accuracy: 0.8197 - 430ms/epoch - 9ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3826 - categorical_accuracy: 0.8609 - val_loss: 0.4187 - val_categorical_accuracy: 0.8467 - 390ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3584 - categorical_accuracy: 0.8684 - val_loss: 0.4156 - val_categorical_accuracy: 0.8490 - 404ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3701 - categorical_accuracy: 0.8633 - val_loss: 0.4276 - val_categorical_accuracy: 0.8421 - 400ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3492 - categorical_accuracy: 0.8727 - val_loss: 0.6721 - val_categorical_accuracy: 0.7618 - 400ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3773 - categorical_accuracy: 0.8615 - val_loss: 0.4552 - val_categorical_accuracy: 0.8344 - 400ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3491 - categorical_accuracy: 0.8717 - val_loss: 0.4703 - val_categorical_accuracy: 0.8278 - 400ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3789 - categorical_accuracy: 0.8620 - val_loss: 0.4581 - val_categorical_accuracy: 0.8272 - 390ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3450 - categorical_accuracy: 0.8741 - val_loss: 0.4192 - val_categorical_accuracy: 0.8476 - 390ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3610 - categorical_accuracy: 0.8658 - val_loss: 0.4724 - val_categorical_accuracy: 0.8249 - 390ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3508 - categorical_accuracy: 0.8723 - val_loss: 0.4472 - val_categorical_accuracy: 0.8369 - 390ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3456 - categorical_accuracy: 0.8723 - val_loss: 0.4254 - val_categorical_accuracy: 0.8455 - 390ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3518 - categorical_accuracy: 0.8726 - val_loss: 0.4318 - val_categorical_accuracy: 0.8411 - 414ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3435 - categorical_accuracy: 0.8729 - val_loss: 0.3946 - val_categorical_accuracy: 0.8573 - 430ms/epoch - 9ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3401 - categorical_accuracy: 0.8751 - val_loss: 0.4275 - val_categorical_accuracy: 0.8434 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3430 - categorical_accuracy: 0.8748 - val_loss: 0.4373 - val_categorical_accuracy: 0.8398 - 390ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.5915 - categorical_accuracy: 0.8174 - val_loss: 0.4001 - val_categorical_accuracy: 0.8549 - 400ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3280 - categorical_accuracy: 0.8807 - val_loss: 0.4666 - val_categorical_accuracy: 0.8283 - 390ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3327 - categorical_accuracy: 0.8783 - val_loss: 0.4193 - val_categorical_accuracy: 0.8487 - 390ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3349 - categorical_accuracy: 0.8763 - val_loss: 0.5071 - val_categorical_accuracy: 0.8126 - 410ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3763 - categorical_accuracy: 0.8683 - val_loss: 0.4004 - val_categorical_accuracy: 0.8536 - 420ms/epoch - 9ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3247 - categorical_accuracy: 0.8812 - val_loss: 0.5289 - val_categorical_accuracy: 0.8174 - 390ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3342 - categorical_accuracy: 0.8774 - val_loss: 0.5149 - val_categorical_accuracy: 0.7959 - 404ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3297 - categorical_accuracy: 0.8790 - val_loss: 0.4139 - val_categorical_accuracy: 0.8520 - 390ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3286 - categorical_accuracy: 0.8796 - val_loss: 0.3894 - val_categorical_accuracy: 0.8600 - 400ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3448 - categorical_accuracy: 0.8751 - val_loss: 0.4204 - val_categorical_accuracy: 0.8507 - 420ms/epoch - 9ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3098 - categorical_accuracy: 0.8876 - val_loss: 0.5419 - val_categorical_accuracy: 0.8109 - 400ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3512 - categorical_accuracy: 0.8724 - val_loss: 0.4401 - val_categorical_accuracy: 0.8376 - 400ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3299 - categorical_accuracy: 0.8785 - val_loss: 0.3952 - val_categorical_accuracy: 0.8535 - 400ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3194 - categorical_accuracy: 0.8833 - val_loss: 0.4143 - val_categorical_accuracy: 0.8481 - 400ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3170 - categorical_accuracy: 0.8837 - val_loss: 0.5006 - val_categorical_accuracy: 0.8262 - 400ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3120 - categorical_accuracy: 0.8853 - val_loss: 0.4207 - val_categorical_accuracy: 0.8523 - 400ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3284 - categorical_accuracy: 0.8793 - val_loss: 0.3859 - val_categorical_accuracy: 0.8602 - 394ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3168 - categorical_accuracy: 0.8834 - val_loss: 0.3930 - val_categorical_accuracy: 0.8606 - 390ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3037 - categorical_accuracy: 0.8901 - val_loss: 0.5513 - val_categorical_accuracy: 0.8212 - 400ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3102 - categorical_accuracy: 0.8864 - val_loss: 0.4774 - val_categorical_accuracy: 0.8209 - 400ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3152 - categorical_accuracy: 0.8850 - val_loss: 0.4425 - val_categorical_accuracy: 0.8398 - 420ms/epoch - 9ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.4136 - categorical_accuracy: 0.8586 - val_loss: 0.3785 - val_categorical_accuracy: 0.8631 - 394ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.2855 - categorical_accuracy: 0.8979 - val_loss: 0.4317 - val_categorical_accuracy: 0.8472 - 400ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.3172 - categorical_accuracy: 0.8851 - val_loss: 0.3945 - val_categorical_accuracy: 0.8571 - 390ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.2961 - categorical_accuracy: 0.8929 - val_loss: 0.3919 - val_categorical_accuracy: 0.8600 - 394ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.3037 - categorical_accuracy: 0.8896 - val_loss: 0.4005 - val_categorical_accuracy: 0.8581 - 390ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.3055 - categorical_accuracy: 0.8883 - val_loss: 0.3955 - val_categorical_accuracy: 0.8563 - 395ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.3905 - categorical_accuracy: 0.8691 - val_loss: 0.4045 - val_categorical_accuracy: 0.8547 - 390ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.2911 - categorical_accuracy: 0.8953 - val_loss: 0.3819 - val_categorical_accuracy: 0.8598 - 410ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.3040 - categorical_accuracy: 0.8900 - val_loss: 0.3824 - val_categorical_accuracy: 0.8596 - 440ms/epoch - 9ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2818 - categorical_accuracy: 0.8979 - val_loss: 0.4527 - val_categorical_accuracy: 0.8373 - 400ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.3033 - categorical_accuracy: 0.8883 - val_loss: 0.3710 - val_categorical_accuracy: 0.8664 - 390ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2989 - categorical_accuracy: 0.8902 - val_loss: 0.5126 - val_categorical_accuracy: 0.8273 - 390ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3275 - categorical_accuracy: 0.8839 - val_loss: 0.4352 - val_categorical_accuracy: 0.8454 - 390ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2814 - categorical_accuracy: 0.8986 - val_loss: 0.4122 - val_categorical_accuracy: 0.8474 - 400ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.3974 - categorical_accuracy: 0.8705 - val_loss: 1.5880 - val_categorical_accuracy: 0.5119 - 400ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.3315 - categorical_accuracy: 0.8844 - val_loss: 0.4092 - val_categorical_accuracy: 0.8518 - 384ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2812 - categorical_accuracy: 0.8975 - val_loss: 0.3917 - val_categorical_accuracy: 0.8624 - 400ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2887 - categorical_accuracy: 0.8935 - val_loss: 0.4195 - val_categorical_accuracy: 0.8439 - 430ms/epoch - 9ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2812 - categorical_accuracy: 0.8982 - val_loss: 0.4461 - val_categorical_accuracy: 0.8439 - 390ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.2773 - categorical_accuracy: 0.9001 - val_loss: 0.3827 - val_categorical_accuracy: 0.8647 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2932 - categorical_accuracy: 0.8943 - val_loss: 0.3657 - val_categorical_accuracy: 0.8722 - 390ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2957 - categorical_accuracy: 0.8925 - val_loss: 0.6574 - val_categorical_accuracy: 0.7958 - 400ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.3026 - categorical_accuracy: 0.8916 - val_loss: 0.5050 - val_categorical_accuracy: 0.8186 - 390ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2838 - categorical_accuracy: 0.8988 - val_loss: 0.3716 - val_categorical_accuracy: 0.8652 - 410ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2664 - categorical_accuracy: 0.9040 - val_loss: 0.4058 - val_categorical_accuracy: 0.8548 - 440ms/epoch - 9ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2785 - categorical_accuracy: 0.8995 - val_loss: 0.3630 - val_categorical_accuracy: 0.8700 - 430ms/epoch - 9ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2834 - categorical_accuracy: 0.8967 - val_loss: 0.3825 - val_categorical_accuracy: 0.8648 - 390ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2701 - categorical_accuracy: 0.9018 - val_loss: 0.4690 - val_categorical_accuracy: 0.8291 - 390ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2765 - categorical_accuracy: 0.8986 - val_loss: 0.3724 - val_categorical_accuracy: 0.8675 - 390ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2691 - categorical_accuracy: 0.9019 - val_loss: 0.3938 - val_categorical_accuracy: 0.8616 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.5116 - categorical_accuracy: 0.8481 - val_loss: 0.3570 - val_categorical_accuracy: 0.8729 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2516 - categorical_accuracy: 0.9112 - val_loss: 0.4229 - val_categorical_accuracy: 0.8455 - 390ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2622 - categorical_accuracy: 0.9057 - val_loss: 0.3866 - val_categorical_accuracy: 0.8657 - 400ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2690 - categorical_accuracy: 0.9034 - val_loss: 0.3907 - val_categorical_accuracy: 0.8653 - 390ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2669 - categorical_accuracy: 0.9028 - val_loss: 0.3707 - val_categorical_accuracy: 0.8705 - 400ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2575 - categorical_accuracy: 0.9076 - val_loss: 0.4063 - val_categorical_accuracy: 0.8564 - 414ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2790 - categorical_accuracy: 0.8989 - val_loss: 0.4439 - val_categorical_accuracy: 0.8401 - 390ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2638 - categorical_accuracy: 0.9042 - val_loss: 0.5064 - val_categorical_accuracy: 0.8198 - 400ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.3991 - categorical_accuracy: 0.8710 - val_loss: 0.3817 - val_categorical_accuracy: 0.8669 - 390ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2412 - categorical_accuracy: 0.9139 - val_loss: 0.4320 - val_categorical_accuracy: 0.8430 - 400ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2714 - categorical_accuracy: 0.9028 - val_loss: 0.4003 - val_categorical_accuracy: 0.8612 - 430ms/epoch - 9ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2717 - categorical_accuracy: 0.9014 - val_loss: 0.4498 - val_categorical_accuracy: 0.8328 - 430ms/epoch - 9ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2515 - categorical_accuracy: 0.9102 - val_loss: 0.3973 - val_categorical_accuracy: 0.8600 - 390ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2804 - categorical_accuracy: 0.8975 - val_loss: 0.3946 - val_categorical_accuracy: 0.8645 - 390ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2465 - categorical_accuracy: 0.9124 - val_loss: 0.3894 - val_categorical_accuracy: 0.8616 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2583 - categorical_accuracy: 0.9070 - val_loss: 0.4237 - val_categorical_accuracy: 0.8562 - 395ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2594 - categorical_accuracy: 0.9077 - val_loss: 0.5676 - val_categorical_accuracy: 0.8149 - 390ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2499 - categorical_accuracy: 0.9108 - val_loss: 0.4202 - val_categorical_accuracy: 0.8574 - 390ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2537 - categorical_accuracy: 0.9091 - val_loss: 0.4130 - val_categorical_accuracy: 0.8502 - 400ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2896 - categorical_accuracy: 0.9001 - val_loss: 0.3832 - val_categorical_accuracy: 0.8642 - 420ms/epoch - 9ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2587 - categorical_accuracy: 0.9073 - val_loss: 0.3862 - val_categorical_accuracy: 0.8607 - 394ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2433 - categorical_accuracy: 0.9126 - val_loss: 0.3939 - val_categorical_accuracy: 0.8574 - 390ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2670 - categorical_accuracy: 0.9026 - val_loss: 0.4822 - val_categorical_accuracy: 0.8314 - 400ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2426 - categorical_accuracy: 0.9129 - val_loss: 0.4227 - val_categorical_accuracy: 0.8566 - 400ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2657 - categorical_accuracy: 0.9033 - val_loss: 0.5455 - val_categorical_accuracy: 0.8274 - 400ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.3007 - categorical_accuracy: 0.8964 - val_loss: 0.4262 - val_categorical_accuracy: 0.8526 - 424ms/epoch - 9ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2446 - categorical_accuracy: 0.9113 - val_loss: 0.3849 - val_categorical_accuracy: 0.8685 - 390ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2608 - categorical_accuracy: 0.9060 - val_loss: 0.3550 - val_categorical_accuracy: 0.8782 - 390ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2370 - categorical_accuracy: 0.9145 - val_loss: 0.3454 - val_categorical_accuracy: 0.8773 - 390ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2529 - categorical_accuracy: 0.9098 - val_loss: 0.4113 - val_categorical_accuracy: 0.8636 - 400ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2467 - categorical_accuracy: 0.9101 - val_loss: 0.5427 - val_categorical_accuracy: 0.8038 - 404ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2491 - categorical_accuracy: 0.9119 - val_loss: 0.3503 - val_categorical_accuracy: 0.8769 - 420ms/epoch - 9ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2625 - categorical_accuracy: 0.9050 - val_loss: 0.5115 - val_categorical_accuracy: 0.8289 - 400ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2359 - categorical_accuracy: 0.9166 - val_loss: 0.3718 - val_categorical_accuracy: 0.8667 - 400ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2390 - categorical_accuracy: 0.9141 - val_loss: 0.5687 - val_categorical_accuracy: 0.8056 - 390ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2446 - categorical_accuracy: 0.9132 - val_loss: 0.4576 - val_categorical_accuracy: 0.8533 - 390ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2453 - categorical_accuracy: 0.9106 - val_loss: 0.3665 - val_categorical_accuracy: 0.8707 - 390ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2234 - categorical_accuracy: 0.9205 - val_loss: 0.4083 - val_categorical_accuracy: 0.8565 - 390ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2593 - categorical_accuracy: 0.9057 - val_loss: 0.3761 - val_categorical_accuracy: 0.8699 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2547 - categorical_accuracy: 0.9122 - val_loss: 0.3563 - val_categorical_accuracy: 0.8792 - 410ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2550 - categorical_accuracy: 0.9090 - val_loss: 0.3864 - val_categorical_accuracy: 0.8655 - 430ms/epoch - 9ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2334 - categorical_accuracy: 0.9158 - val_loss: 0.3475 - val_categorical_accuracy: 0.8807 - 440ms/epoch - 9ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2108 - categorical_accuracy: 0.9257 - val_loss: 0.4030 - val_categorical_accuracy: 0.8597 - 400ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2568 - categorical_accuracy: 0.9081 - val_loss: 0.4171 - val_categorical_accuracy: 0.8575 - 390ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2486 - categorical_accuracy: 0.9115 - val_loss: 0.3965 - val_categorical_accuracy: 0.8584 - 390ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2274 - categorical_accuracy: 0.9188 - val_loss: 0.3828 - val_categorical_accuracy: 0.8674 - 390ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2350 - categorical_accuracy: 0.9151 - val_loss: 0.3484 - val_categorical_accuracy: 0.8778 - 390ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.4625 - categorical_accuracy: 0.8618 - val_loss: 0.3522 - val_categorical_accuracy: 0.8778 - 394ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2149 - categorical_accuracy: 0.9238 - val_loss: 0.4149 - val_categorical_accuracy: 0.8653 - 390ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2217 - categorical_accuracy: 0.9218 - val_loss: 0.3767 - val_categorical_accuracy: 0.8661 - 400ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2271 - categorical_accuracy: 0.9183 - val_loss: 0.3458 - val_categorical_accuracy: 0.8827 - 390ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2337 - categorical_accuracy: 0.9160 - val_loss: 0.3997 - val_categorical_accuracy: 0.8627 - 410ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2102 - categorical_accuracy: 0.9252 - val_loss: 0.4090 - val_categorical_accuracy: 0.8574 - 430ms/epoch - 9ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2447 - categorical_accuracy: 0.9127 - val_loss: 0.3744 - val_categorical_accuracy: 0.8703 - 390ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2230 - categorical_accuracy: 0.9204 - val_loss: 0.5259 - val_categorical_accuracy: 0.8318 - 390ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2244 - categorical_accuracy: 0.9200 - val_loss: 0.3414 - val_categorical_accuracy: 0.8824 - 390ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2166 - categorical_accuracy: 0.9239 - val_loss: 0.3577 - val_categorical_accuracy: 0.8763 - 390ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.3075 - categorical_accuracy: 0.8980 - val_loss: 0.3705 - val_categorical_accuracy: 0.8696 - 400ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2146 - categorical_accuracy: 0.9235 - val_loss: 0.4225 - val_categorical_accuracy: 0.8488 - 410ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2211 - categorical_accuracy: 0.9203 - val_loss: 0.3340 - val_categorical_accuracy: 0.8858 - 430ms/epoch - 9ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2195 - categorical_accuracy: 0.9216 - val_loss: 0.3663 - val_categorical_accuracy: 0.8754 - 385ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2279 - categorical_accuracy: 0.9181 - val_loss: 0.4335 - val_categorical_accuracy: 0.8511 - 390ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2383 - categorical_accuracy: 0.9146 - val_loss: 0.4119 - val_categorical_accuracy: 0.8648 - 400ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9258 - val_loss: 0.3884 - val_categorical_accuracy: 0.8667 - 400ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.3710 - categorical_accuracy: 0.8807 - val_loss: 0.3529 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.1966 - categorical_accuracy: 0.9328 - val_loss: 0.3912 - val_categorical_accuracy: 0.8631 - 394ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2137 - categorical_accuracy: 0.9240 - val_loss: 0.3993 - val_categorical_accuracy: 0.8646 - 420ms/epoch - 9ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2193 - categorical_accuracy: 0.9212 - val_loss: 0.3431 - val_categorical_accuracy: 0.8823 - 400ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2195 - categorical_accuracy: 0.9226 - val_loss: 0.3555 - val_categorical_accuracy: 0.8795 - 390ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2172 - categorical_accuracy: 0.9209 - val_loss: 0.4259 - val_categorical_accuracy: 0.8605 - 390ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2085 - categorical_accuracy: 0.9256 - val_loss: 0.6517 - val_categorical_accuracy: 0.7807 - 395ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2152 - categorical_accuracy: 0.9257 - val_loss: 0.3423 - val_categorical_accuracy: 0.8852 - 410ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2925 - categorical_accuracy: 0.9041 - val_loss: 0.3822 - val_categorical_accuracy: 0.8714 - 430ms/epoch - 9ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.1891 - categorical_accuracy: 0.9335 - val_loss: 0.3843 - val_categorical_accuracy: 0.8703 - 400ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 1s - loss: 0.2264 - categorical_accuracy: 0.9198 - val_loss: 0.4876 - val_categorical_accuracy: 0.8443 - 569ms/epoch - 12ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.1998 - categorical_accuracy: 0.9293 - val_loss: 0.3782 - val_categorical_accuracy: 0.8681 - 390ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2225 - categorical_accuracy: 0.9180 - val_loss: 0.3934 - val_categorical_accuracy: 0.8655 - 400ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.8900 - val_loss: 0.3368 - val_categorical_accuracy: 0.8865 - 390ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.1993 - categorical_accuracy: 0.9304 - val_loss: 0.3502 - val_categorical_accuracy: 0.8800 - 390ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2097 - categorical_accuracy: 0.9244 - val_loss: 0.4042 - val_categorical_accuracy: 0.8659 - 434ms/epoch - 9ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2068 - categorical_accuracy: 0.9266 - val_loss: 0.3732 - val_categorical_accuracy: 0.8738 - 430ms/epoch - 9ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2063 - categorical_accuracy: 0.9260 - val_loss: 0.4051 - val_categorical_accuracy: 0.8595 - 390ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2123 - categorical_accuracy: 0.9245 - val_loss: 0.3555 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.1922 - categorical_accuracy: 0.9319 - val_loss: 0.3411 - val_categorical_accuracy: 0.8856 - 390ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2639 - categorical_accuracy: 0.9096 - val_loss: 0.3513 - val_categorical_accuracy: 0.8822 - 400ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9339 - val_loss: 0.4099 - val_categorical_accuracy: 0.8683 - 390ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2132 - categorical_accuracy: 0.9235 - val_loss: 0.3848 - val_categorical_accuracy: 0.8730 - 410ms/epoch - 8ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.1934 - categorical_accuracy: 0.9320 - val_loss: 0.3698 - val_categorical_accuracy: 0.8760 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1985 - categorical_accuracy: 0.9283 - val_loss: 0.3778 - val_categorical_accuracy: 0.8704 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.2174 - categorical_accuracy: 0.9227 - val_loss: 0.3466 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2085 - categorical_accuracy: 0.9250 - val_loss: 0.3508 - val_categorical_accuracy: 0.8844 - 390ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1913 - categorical_accuracy: 0.9320 - val_loss: 0.3542 - val_categorical_accuracy: 0.8775 - 420ms/epoch - 9ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.4293 - categorical_accuracy: 0.8733 - val_loss: 0.3489 - val_categorical_accuracy: 0.8804 - 440ms/epoch - 9ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.1861 - categorical_accuracy: 0.9356 - val_loss: 0.3594 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.1778 - categorical_accuracy: 0.9365 - val_loss: 0.3684 - val_categorical_accuracy: 0.8753 - 400ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.2164 - categorical_accuracy: 0.9215 - val_loss: 0.4274 - val_categorical_accuracy: 0.8499 - 400ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.1860 - categorical_accuracy: 0.9341 - val_loss: 0.4047 - val_categorical_accuracy: 0.8693 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2019 - categorical_accuracy: 0.9277 - val_loss: 0.3666 - val_categorical_accuracy: 0.8746 - 390ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.1985 - categorical_accuracy: 0.9294 - val_loss: 0.3504 - val_categorical_accuracy: 0.8822 - 390ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.2030 - categorical_accuracy: 0.9281 - val_loss: 0.3357 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1906 - categorical_accuracy: 0.9320 - val_loss: 0.6540 - val_categorical_accuracy: 0.7938 - 390ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2168 - categorical_accuracy: 0.9266 - val_loss: 0.3598 - val_categorical_accuracy: 0.8750 - 410ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1852 - categorical_accuracy: 0.9348 - val_loss: 0.3666 - val_categorical_accuracy: 0.8786 - 430ms/epoch - 9ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.2093 - categorical_accuracy: 0.9250 - val_loss: 0.3697 - val_categorical_accuracy: 0.8803 - 410ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2389 - categorical_accuracy: 0.9195 - val_loss: 0.3325 - val_categorical_accuracy: 0.8864 - 394ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.2063 - categorical_accuracy: 0.9282 - val_loss: 0.7677 - val_categorical_accuracy: 0.7691 - 390ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9270 - val_loss: 0.3597 - val_categorical_accuracy: 0.8784 - 390ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1800 - categorical_accuracy: 0.9355 - val_loss: 0.3496 - val_categorical_accuracy: 0.8836 - 390ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9351 - val_loss: 0.3539 - val_categorical_accuracy: 0.8827 - 390ms/epoch - 8ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1901 - categorical_accuracy: 0.9340 - val_loss: 0.3681 - val_categorical_accuracy: 0.8801 - 390ms/epoch - 8ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.1955 - categorical_accuracy: 0.9303 - val_loss: 0.3532 - val_categorical_accuracy: 0.8826 - 410ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.2054 - categorical_accuracy: 0.9276 - val_loss: 0.3738 - val_categorical_accuracy: 0.8826 - 440ms/epoch - 9ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1839 - categorical_accuracy: 0.9343 - val_loss: 0.3407 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1825 - categorical_accuracy: 0.9365 - val_loss: 0.4207 - val_categorical_accuracy: 0.8678 - 390ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1827 - categorical_accuracy: 0.9345 - val_loss: 0.3470 - val_categorical_accuracy: 0.8835 - 390ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.2008 - categorical_accuracy: 0.9276 - val_loss: 0.3516 - val_categorical_accuracy: 0.8849 - 390ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1640 - categorical_accuracy: 0.9422 - val_loss: 0.4593 - val_categorical_accuracy: 0.8552 - 390ms/epoch - 8ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.2077 - categorical_accuracy: 0.9278 - val_loss: 0.5090 - val_categorical_accuracy: 0.8321 - 390ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1773 - categorical_accuracy: 0.9375 - val_loss: 0.4088 - val_categorical_accuracy: 0.8643 - 410ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.3436 - categorical_accuracy: 0.8900 - val_loss: 0.3582 - val_categorical_accuracy: 0.8784 - 440ms/epoch - 9ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1671 - categorical_accuracy: 0.9432 - val_loss: 0.4172 - val_categorical_accuracy: 0.8573 - 420ms/epoch - 9ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9366 - val_loss: 0.3743 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1880 - categorical_accuracy: 0.9321 - val_loss: 0.4461 - val_categorical_accuracy: 0.8581 - 394ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.3460 - categorical_accuracy: 0.8981 - val_loss: 0.3593 - val_categorical_accuracy: 0.8797 - 386ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1625 - categorical_accuracy: 0.9438 - val_loss: 0.4375 - val_categorical_accuracy: 0.8664 - 384ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1883 - categorical_accuracy: 0.9348 - val_loss: 0.3654 - val_categorical_accuracy: 0.8794 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1905 - categorical_accuracy: 0.9318 - val_loss: 0.5319 - val_categorical_accuracy: 0.8480 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1745 - categorical_accuracy: 0.9381 - val_loss: 0.7078 - val_categorical_accuracy: 0.8138 - 430ms/epoch - 9ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.2088 - categorical_accuracy: 0.9269 - val_loss: 0.3319 - val_categorical_accuracy: 0.8894 - 430ms/epoch - 9ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9424 - val_loss: 0.3511 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1815 - categorical_accuracy: 0.9350 - val_loss: 0.4286 - val_categorical_accuracy: 0.8636 - 390ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1767 - categorical_accuracy: 0.9371 - val_loss: 0.4376 - val_categorical_accuracy: 0.8633 - 390ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.2401 - categorical_accuracy: 0.9232 - val_loss: 0.4537 - val_categorical_accuracy: 0.8566 - 390ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9324 - val_loss: 0.3309 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9418 - val_loss: 0.3977 - val_categorical_accuracy: 0.8641 - 414ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1580 - categorical_accuracy: 0.9446 - val_loss: 0.4804 - val_categorical_accuracy: 0.8537 - 436ms/epoch - 9ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.2030 - categorical_accuracy: 0.9267 - val_loss: 0.4853 - val_categorical_accuracy: 0.8582 - 390ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1878 - categorical_accuracy: 0.9332 - val_loss: 0.3693 - val_categorical_accuracy: 0.8794 - 390ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9442 - val_loss: 0.4076 - val_categorical_accuracy: 0.8729 - 390ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1578 - categorical_accuracy: 0.9442 - val_loss: 0.6214 - val_categorical_accuracy: 0.8178 - 394ms/epoch - 8ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1908 - categorical_accuracy: 0.9353 - val_loss: 0.3543 - val_categorical_accuracy: 0.8879 - 396ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.2389 - categorical_accuracy: 0.9197 - val_loss: 0.3419 - val_categorical_accuracy: 0.8874 - 390ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1683 - categorical_accuracy: 0.9408 - val_loss: 0.3530 - val_categorical_accuracy: 0.8849 - 410ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1548 - categorical_accuracy: 0.9459 - val_loss: 0.3582 - val_categorical_accuracy: 0.8840 - 400ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1879 - categorical_accuracy: 0.9347 - val_loss: 0.3829 - val_categorical_accuracy: 0.8756 - 394ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1716 - categorical_accuracy: 0.9396 - val_loss: 0.4222 - val_categorical_accuracy: 0.8594 - 396ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1628 - categorical_accuracy: 0.9425 - val_loss: 0.3459 - val_categorical_accuracy: 0.8873 - 400ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1829 - categorical_accuracy: 0.9369 - val_loss: 0.3737 - val_categorical_accuracy: 0.8852 - 410ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1566 - categorical_accuracy: 0.9442 - val_loss: 0.3425 - val_categorical_accuracy: 0.8909 - 420ms/epoch - 9ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1861 - categorical_accuracy: 0.9360 - val_loss: 0.3415 - val_categorical_accuracy: 0.8900 - 394ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9434 - val_loss: 0.4312 - val_categorical_accuracy: 0.8727 - 396ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1816 - categorical_accuracy: 0.9362 - val_loss: 0.3548 - val_categorical_accuracy: 0.8891 - 390ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.2883 - categorical_accuracy: 0.9101 - val_loss: 0.3519 - val_categorical_accuracy: 0.8845 - 390ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1788 - categorical_accuracy: 0.9382 - val_loss: 0.3451 - val_categorical_accuracy: 0.8897 - 420ms/epoch - 9ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1428 - categorical_accuracy: 0.9512 - val_loss: 0.3485 - val_categorical_accuracy: 0.8875 - 394ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1706 - categorical_accuracy: 0.9406 - val_loss: 0.3505 - val_categorical_accuracy: 0.8887 - 396ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1536 - categorical_accuracy: 0.9459 - val_loss: 0.4180 - val_categorical_accuracy: 0.8655 - 390ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.2014 - categorical_accuracy: 0.9316 - val_loss: 0.3753 - val_categorical_accuracy: 0.8815 - 390ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1502 - categorical_accuracy: 0.9477 - val_loss: 0.3540 - val_categorical_accuracy: 0.8872 - 430ms/epoch - 9ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.2651 - categorical_accuracy: 0.9122 - val_loss: 0.3433 - val_categorical_accuracy: 0.8875 - 420ms/epoch - 9ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1467 - categorical_accuracy: 0.9495 - val_loss: 0.3923 - val_categorical_accuracy: 0.8723 - 400ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9436 - val_loss: 0.3697 - val_categorical_accuracy: 0.8837 - 390ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9465 - val_loss: 0.6632 - val_categorical_accuracy: 0.7986 - 390ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.2500 - categorical_accuracy: 0.9216 - val_loss: 0.3793 - val_categorical_accuracy: 0.8750 - 390ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9454 - val_loss: 0.4030 - val_categorical_accuracy: 0.8691 - 390ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1783 - categorical_accuracy: 0.9355 - val_loss: 0.3679 - val_categorical_accuracy: 0.8820 - 390ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9438 - val_loss: 0.3706 - val_categorical_accuracy: 0.8801 - 420ms/epoch - 9ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1501 - categorical_accuracy: 0.9470 - val_loss: 0.7389 - val_categorical_accuracy: 0.8037 - 430ms/epoch - 9ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.2852 - categorical_accuracy: 0.9136 - val_loss: 0.3401 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1446 - categorical_accuracy: 0.9495 - val_loss: 0.3876 - val_categorical_accuracy: 0.8784 - 390ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1677 - categorical_accuracy: 0.9406 - val_loss: 0.3629 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1745 - categorical_accuracy: 0.9390 - val_loss: 0.3991 - val_categorical_accuracy: 0.8720 - 390ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1873 - categorical_accuracy: 0.9352 - val_loss: 0.3667 - val_categorical_accuracy: 0.8838 - 390ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1371 - categorical_accuracy: 0.9532 - val_loss: 0.3567 - val_categorical_accuracy: 0.8893 - 410ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9334 - val_loss: 0.3816 - val_categorical_accuracy: 0.8817 - 450ms/epoch - 9ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1499 - categorical_accuracy: 0.9470 - val_loss: 0.3470 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1816 - categorical_accuracy: 0.9383 - val_loss: 0.4044 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1507 - categorical_accuracy: 0.9468 - val_loss: 0.3627 - val_categorical_accuracy: 0.8847 - 400ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1397 - categorical_accuracy: 0.9517 - val_loss: 0.4550 - val_categorical_accuracy: 0.8595 - 390ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.2829 - categorical_accuracy: 0.9105 - val_loss: 0.3547 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1501 - categorical_accuracy: 0.9473 - val_loss: 0.3557 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1541 - categorical_accuracy: 0.9472 - val_loss: 0.3595 - val_categorical_accuracy: 0.8812 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9483 - val_loss: 0.7002 - val_categorical_accuracy: 0.7796 - 430ms/epoch - 9ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1923 - categorical_accuracy: 0.9373 - val_loss: 0.3504 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1489 - categorical_accuracy: 0.9493 - val_loss: 1.4929 - val_categorical_accuracy: 0.7286 - 400ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.5307 - categorical_accuracy: 0.8534 - val_loss: 0.3448 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1463 - categorical_accuracy: 0.9505 - val_loss: 0.3589 - val_categorical_accuracy: 0.8849 - 410ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1618 - categorical_accuracy: 0.9435 - val_loss: 0.3839 - val_categorical_accuracy: 0.8753 - 440ms/epoch - 9ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1473 - categorical_accuracy: 0.9481 - val_loss: 0.4649 - val_categorical_accuracy: 0.8524 - 440ms/epoch - 9ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9500 - val_loss: 0.3665 - val_categorical_accuracy: 0.8843 - 449ms/epoch - 9ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1661 - categorical_accuracy: 0.9433 - val_loss: 0.3567 - val_categorical_accuracy: 0.8877 - 460ms/epoch - 9ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1381 - categorical_accuracy: 0.9524 - val_loss: 0.3391 - val_categorical_accuracy: 0.8964 - 470ms/epoch - 10ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1778 - categorical_accuracy: 0.9380 - val_loss: 0.3640 - val_categorical_accuracy: 0.8807 - 459ms/epoch - 9ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1356 - categorical_accuracy: 0.9529 - val_loss: 0.4052 - val_categorical_accuracy: 0.8726 - 444ms/epoch - 9ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1837 - categorical_accuracy: 0.9372 - val_loss: 0.3404 - val_categorical_accuracy: 0.8936 - 421ms/epoch - 9ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1490 - categorical_accuracy: 0.9486 - val_loss: 0.3501 - val_categorical_accuracy: 0.8888 - 440ms/epoch - 9ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9544 - val_loss: 0.4021 - val_categorical_accuracy: 0.8827 - 443ms/epoch - 9ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.2643 - categorical_accuracy: 0.9207 - val_loss: 0.3362 - val_categorical_accuracy: 0.8956 - 440ms/epoch - 9ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1411 - categorical_accuracy: 0.9512 - val_loss: 0.4461 - val_categorical_accuracy: 0.8602 - 470ms/epoch - 10ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9518 - val_loss: 0.5250 - val_categorical_accuracy: 0.8429 - 460ms/epoch - 9ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1437 - categorical_accuracy: 0.9503 - val_loss: 0.3455 - val_categorical_accuracy: 0.8962 - 430ms/epoch - 9ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1697 - categorical_accuracy: 0.9410 - val_loss: 0.3722 - val_categorical_accuracy: 0.8836 - 440ms/epoch - 9ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1594 - categorical_accuracy: 0.9431 - val_loss: 0.3542 - val_categorical_accuracy: 0.8938 - 434ms/epoch - 9ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9512 - val_loss: 0.3506 - val_categorical_accuracy: 0.8939 - 436ms/epoch - 9ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1628 - categorical_accuracy: 0.9423 - val_loss: 0.3442 - val_categorical_accuracy: 0.8925 - 450ms/epoch - 9ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1281 - categorical_accuracy: 0.9563 - val_loss: 0.3411 - val_categorical_accuracy: 0.8983 - 480ms/epoch - 10ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1640 - categorical_accuracy: 0.9426 - val_loss: 0.3682 - val_categorical_accuracy: 0.8903 - 480ms/epoch - 10ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9472 - val_loss: 0.3647 - val_categorical_accuracy: 0.8870 - 469ms/epoch - 10ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1563 - categorical_accuracy: 0.9455 - val_loss: 0.3465 - val_categorical_accuracy: 0.8954 - 440ms/epoch - 9ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1647 - categorical_accuracy: 0.9427 - val_loss: 0.3610 - val_categorical_accuracy: 0.8866 - 450ms/epoch - 9ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1617 - categorical_accuracy: 0.9434 - val_loss: 0.3802 - val_categorical_accuracy: 0.8798 - 460ms/epoch - 9ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1389 - categorical_accuracy: 0.9514 - val_loss: 0.4001 - val_categorical_accuracy: 0.8827 - 450ms/epoch - 9ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.2421 - categorical_accuracy: 0.9253 - val_loss: 0.3466 - val_categorical_accuracy: 0.8963 - 460ms/epoch - 9ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1215 - categorical_accuracy: 0.9590 - val_loss: 0.3625 - val_categorical_accuracy: 0.8889 - 440ms/epoch - 9ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1316 - categorical_accuracy: 0.9542 - val_loss: 0.4456 - val_categorical_accuracy: 0.8662 - 450ms/epoch - 9ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1721 - categorical_accuracy: 0.9382 - val_loss: 0.3433 - val_categorical_accuracy: 0.8957 - 450ms/epoch - 9ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1548 - categorical_accuracy: 0.9461 - val_loss: 0.4061 - val_categorical_accuracy: 0.8791 - 434ms/epoch - 9ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1372 - categorical_accuracy: 0.9513 - val_loss: 0.3613 - val_categorical_accuracy: 0.8899 - 450ms/epoch - 9ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1357 - categorical_accuracy: 0.9521 - val_loss: 0.3533 - val_categorical_accuracy: 0.8944 - 430ms/epoch - 9ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9454 - val_loss: 0.3783 - val_categorical_accuracy: 0.8858 - 440ms/epoch - 9ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1413 - categorical_accuracy: 0.9501 - val_loss: 0.4016 - val_categorical_accuracy: 0.8771 - 434ms/epoch - 9ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1304 - categorical_accuracy: 0.9543 - val_loss: 0.3776 - val_categorical_accuracy: 0.8886 - 470ms/epoch - 10ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.2168 - categorical_accuracy: 0.9266 - val_loss: 0.3610 - val_categorical_accuracy: 0.8893 - 450ms/epoch - 9ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1268 - categorical_accuracy: 0.9562 - val_loss: 0.3566 - val_categorical_accuracy: 0.8937 - 450ms/epoch - 9ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9486 - val_loss: 1.6396 - val_categorical_accuracy: 0.6350 - 460ms/epoch - 9ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.6755 - categorical_accuracy: 0.8143 - val_loss: 0.3610 - val_categorical_accuracy: 0.8772 - 460ms/epoch - 9ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1558 - categorical_accuracy: 0.9471 - val_loss: 0.3533 - val_categorical_accuracy: 0.8897 - 490ms/epoch - 10ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1312 - categorical_accuracy: 0.9558 - val_loss: 0.3662 - val_categorical_accuracy: 0.8901 - 480ms/epoch - 10ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9563 - val_loss: 0.3596 - val_categorical_accuracy: 0.8933 - 490ms/epoch - 10ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9556 - val_loss: 0.4011 - val_categorical_accuracy: 0.8781 - 484ms/epoch - 10ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9556 - val_loss: 0.3612 - val_categorical_accuracy: 0.8941 - 480ms/epoch - 10ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1244 - categorical_accuracy: 0.9564 - val_loss: 0.3748 - val_categorical_accuracy: 0.8876 - 490ms/epoch - 10ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.3208 - categorical_accuracy: 0.9083 - val_loss: 0.3351 - val_categorical_accuracy: 0.8990 - 450ms/epoch - 9ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1214 - categorical_accuracy: 0.9588 - val_loss: 0.3537 - val_categorical_accuracy: 0.8909 - 444ms/epoch - 9ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1238 - categorical_accuracy: 0.9577 - val_loss: 0.3584 - val_categorical_accuracy: 0.8916 - 440ms/epoch - 9ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1620 - categorical_accuracy: 0.9425 - val_loss: 0.4352 - val_categorical_accuracy: 0.8716 - 460ms/epoch - 9ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1273 - categorical_accuracy: 0.9555 - val_loss: 0.3629 - val_categorical_accuracy: 0.8919 - 460ms/epoch - 9ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1706 - categorical_accuracy: 0.9431 - val_loss: 0.3620 - val_categorical_accuracy: 0.8918 - 454ms/epoch - 9ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1220 - categorical_accuracy: 0.9587 - val_loss: 0.3766 - val_categorical_accuracy: 0.8904 - 460ms/epoch - 9ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1567 - categorical_accuracy: 0.9469 - val_loss: 0.3719 - val_categorical_accuracy: 0.8865 - 450ms/epoch - 9ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1205 - categorical_accuracy: 0.9583 - val_loss: 0.3693 - val_categorical_accuracy: 0.8880 - 460ms/epoch - 9ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1515 - categorical_accuracy: 0.9471 - val_loss: 0.3793 - val_categorical_accuracy: 0.8877 - 480ms/epoch - 10ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1416 - categorical_accuracy: 0.9529 - val_loss: 0.3752 - val_categorical_accuracy: 0.8878 - 494ms/epoch - 10ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1253 - categorical_accuracy: 0.9564 - val_loss: 0.3914 - val_categorical_accuracy: 0.8842 - 490ms/epoch - 10ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1560 - categorical_accuracy: 0.9480 - val_loss: 0.3696 - val_categorical_accuracy: 0.8923 - 470ms/epoch - 10ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1382 - categorical_accuracy: 0.9517 - val_loss: 0.3745 - val_categorical_accuracy: 0.8898 - 460ms/epoch - 9ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1701 - categorical_accuracy: 0.9462 - val_loss: 0.3761 - val_categorical_accuracy: 0.8838 - 460ms/epoch - 9ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9599 - val_loss: 0.3661 - val_categorical_accuracy: 0.8939 - 460ms/epoch - 9ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9480 - val_loss: 0.4652 - val_categorical_accuracy: 0.8714 - 460ms/epoch - 9ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1523 - categorical_accuracy: 0.9486 - val_loss: 0.3430 - val_categorical_accuracy: 0.8981 - 480ms/epoch - 10ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1189 - categorical_accuracy: 0.9591 - val_loss: 0.3602 - val_categorical_accuracy: 0.8957 - 480ms/epoch - 10ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.2462 - categorical_accuracy: 0.9238 - val_loss: 0.3715 - val_categorical_accuracy: 0.8888 - 480ms/epoch - 10ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1207 - categorical_accuracy: 0.9585 - val_loss: 0.4427 - val_categorical_accuracy: 0.8697 - 440ms/epoch - 9ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1364 - categorical_accuracy: 0.9523 - val_loss: 0.3759 - val_categorical_accuracy: 0.8888 - 450ms/epoch - 9ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1157 - categorical_accuracy: 0.9597 - val_loss: 0.3665 - val_categorical_accuracy: 0.8944 - 450ms/epoch - 9ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9402 - val_loss: 0.3489 - val_categorical_accuracy: 0.8977 - 460ms/epoch - 9ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1691 - categorical_accuracy: 0.9451 - val_loss: 0.3721 - val_categorical_accuracy: 0.8838 - 490ms/epoch - 10ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9600 - val_loss: 0.3929 - val_categorical_accuracy: 0.8875 - 470ms/epoch - 10ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1475 - categorical_accuracy: 0.9493 - val_loss: 0.3520 - val_categorical_accuracy: 0.8976 - 460ms/epoch - 9ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1092 - categorical_accuracy: 0.9630 - val_loss: 0.3605 - val_categorical_accuracy: 0.8967 - 444ms/epoch - 9ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1466 - categorical_accuracy: 0.9499 - val_loss: 0.4561 - val_categorical_accuracy: 0.8618 - 450ms/epoch - 9ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1324 - categorical_accuracy: 0.9544 - val_loss: 0.4321 - val_categorical_accuracy: 0.8708 - 470ms/epoch - 10ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9451 - val_loss: 0.3819 - val_categorical_accuracy: 0.8888 - 474ms/epoch - 10ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.2082 - categorical_accuracy: 0.9371 - val_loss: 0.3600 - val_categorical_accuracy: 0.8932 - 470ms/epoch - 10ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1142 - categorical_accuracy: 0.9611 - val_loss: 0.3601 - val_categorical_accuracy: 0.8942 - 450ms/epoch - 9ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1647 - categorical_accuracy: 0.9427 - val_loss: 0.3501 - val_categorical_accuracy: 0.8945 - 460ms/epoch - 9ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1153 - categorical_accuracy: 0.9602 - val_loss: 0.3829 - val_categorical_accuracy: 0.8915 - 450ms/epoch - 9ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1150 - categorical_accuracy: 0.9604 - val_loss: 0.3584 - val_categorical_accuracy: 0.8964 - 460ms/epoch - 9ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1436 - categorical_accuracy: 0.9505 - val_loss: 0.3914 - val_categorical_accuracy: 0.8840 - 474ms/epoch - 10ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9627 - val_loss: 0.3710 - val_categorical_accuracy: 0.8911 - 480ms/epoch - 10ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1669 - categorical_accuracy: 0.9460 - val_loss: 0.3596 - val_categorical_accuracy: 0.8921 - 480ms/epoch - 10ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1150 - categorical_accuracy: 0.9604 - val_loss: 0.3813 - val_categorical_accuracy: 0.8862 - 450ms/epoch - 9ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9390 - val_loss: 0.3876 - val_categorical_accuracy: 0.8846 - 454ms/epoch - 9ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1136 - categorical_accuracy: 0.9613 - val_loss: 0.3778 - val_categorical_accuracy: 0.8901 - 450ms/epoch - 9ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1131 - categorical_accuracy: 0.9611 - val_loss: 0.3575 - val_categorical_accuracy: 0.8984 - 470ms/epoch - 10ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1101 - categorical_accuracy: 0.9617 - val_loss: 0.4967 - val_categorical_accuracy: 0.8686 - 480ms/epoch - 10ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1928 - categorical_accuracy: 0.9332 - val_loss: 0.3922 - val_categorical_accuracy: 0.8889 - 464ms/epoch - 9ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1320 - categorical_accuracy: 0.9536 - val_loss: 0.3578 - val_categorical_accuracy: 0.8954 - 450ms/epoch - 9ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1116 - categorical_accuracy: 0.9617 - val_loss: 0.3865 - val_categorical_accuracy: 0.8922 - 450ms/epoch - 9ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9623 - val_loss: 0.3737 - val_categorical_accuracy: 0.8953 - 460ms/epoch - 9ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.3085 - categorical_accuracy: 0.9117 - val_loss: 0.3484 - val_categorical_accuracy: 0.8929 - 440ms/epoch - 9ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1128 - categorical_accuracy: 0.9628 - val_loss: 0.3733 - val_categorical_accuracy: 0.8929 - 484ms/epoch - 10ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9604 - val_loss: 0.3863 - val_categorical_accuracy: 0.8919 - 490ms/epoch - 10ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1390 - categorical_accuracy: 0.9520 - val_loss: 0.3795 - val_categorical_accuracy: 0.8916 - 480ms/epoch - 10ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1248 - categorical_accuracy: 0.9560 - val_loss: 0.3879 - val_categorical_accuracy: 0.8919 - 480ms/epoch - 10ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1112 - categorical_accuracy: 0.9619 - val_loss: 0.3747 - val_categorical_accuracy: 0.8956 - 454ms/epoch - 9ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1306 - categorical_accuracy: 0.9540 - val_loss: 0.5553 - val_categorical_accuracy: 0.8492 - 460ms/epoch - 9ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.2503 - categorical_accuracy: 0.9248 - val_loss: 0.3717 - val_categorical_accuracy: 0.8924 - 460ms/epoch - 9ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1078 - categorical_accuracy: 0.9631 - val_loss: 0.3565 - val_categorical_accuracy: 0.8955 - 450ms/epoch - 9ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1043 - categorical_accuracy: 0.9642 - val_loss: 0.3746 - val_categorical_accuracy: 0.8912 - 490ms/epoch - 10ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1948 - categorical_accuracy: 0.9384 - val_loss: 0.3517 - val_categorical_accuracy: 0.8980 - 480ms/epoch - 10ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1097 - categorical_accuracy: 0.9625 - val_loss: 0.3608 - val_categorical_accuracy: 0.8958 - 470ms/epoch - 10ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1073 - categorical_accuracy: 0.9628 - val_loss: 0.4135 - val_categorical_accuracy: 0.8889 - 470ms/epoch - 10ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9624 - val_loss: 0.4081 - val_categorical_accuracy: 0.8817 - 460ms/epoch - 9ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.2488 - categorical_accuracy: 0.9277 - val_loss: 0.3839 - val_categorical_accuracy: 0.8893 - 450ms/epoch - 9ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1061 - categorical_accuracy: 0.9639 - val_loss: 0.3735 - val_categorical_accuracy: 0.8946 - 460ms/epoch - 9ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1420 - categorical_accuracy: 0.9538 - val_loss: 0.3659 - val_categorical_accuracy: 0.8954 - 470ms/epoch - 10ms/step
Epoch 522/1500
49/49 - 1s - loss: 0.1070 - categorical_accuracy: 0.9627 - val_loss: 0.4777 - val_categorical_accuracy: 0.8777 - 500ms/epoch - 10ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1504 - categorical_accuracy: 0.9509 - val_loss: 0.3775 - val_categorical_accuracy: 0.8929 - 482ms/epoch - 10ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1077 - categorical_accuracy: 0.9624 - val_loss: 0.4159 - val_categorical_accuracy: 0.8832 - 490ms/epoch - 10ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1185 - categorical_accuracy: 0.9586 - val_loss: 0.4618 - val_categorical_accuracy: 0.8708 - 480ms/epoch - 10ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.2563 - categorical_accuracy: 0.9263 - val_loss: 0.3663 - val_categorical_accuracy: 0.8933 - 490ms/epoch - 10ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9647 - val_loss: 0.3703 - val_categorical_accuracy: 0.8941 - 464ms/epoch - 9ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1074 - categorical_accuracy: 0.9629 - val_loss: 0.3619 - val_categorical_accuracy: 0.9009 - 450ms/epoch - 9ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1082 - categorical_accuracy: 0.9626 - val_loss: 0.4042 - val_categorical_accuracy: 0.8870 - 450ms/epoch - 9ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1522 - categorical_accuracy: 0.9482 - val_loss: 0.4583 - val_categorical_accuracy: 0.8642 - 450ms/epoch - 9ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1095 - categorical_accuracy: 0.9618 - val_loss: 0.3927 - val_categorical_accuracy: 0.8892 - 450ms/epoch - 9ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1468 - categorical_accuracy: 0.9492 - val_loss: 0.3787 - val_categorical_accuracy: 0.8921 - 480ms/epoch - 10ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1101 - categorical_accuracy: 0.9616 - val_loss: 0.3757 - val_categorical_accuracy: 0.8967 - 480ms/epoch - 10ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1320 - categorical_accuracy: 0.9551 - val_loss: 0.4741 - val_categorical_accuracy: 0.8670 - 480ms/epoch - 10ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1085 - categorical_accuracy: 0.9622 - val_loss: 0.3961 - val_categorical_accuracy: 0.8877 - 474ms/epoch - 10ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1658 - categorical_accuracy: 0.9452 - val_loss: 0.3714 - val_categorical_accuracy: 0.8916 - 420ms/epoch - 9ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9621 - val_loss: 0.4016 - val_categorical_accuracy: 0.8878 - 420ms/epoch - 9ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1083 - categorical_accuracy: 0.9620 - val_loss: 0.3957 - val_categorical_accuracy: 0.8897 - 420ms/epoch - 9ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9499 - val_loss: 1.4201 - val_categorical_accuracy: 0.6690 - 400ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.4236 - categorical_accuracy: 0.8854 - val_loss: 0.3617 - val_categorical_accuracy: 0.8892 - 400ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1156 - categorical_accuracy: 0.9607 - val_loss: 0.3570 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1057 - categorical_accuracy: 0.9642 - val_loss: 0.3729 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1063 - categorical_accuracy: 0.9631 - val_loss: 0.3949 - val_categorical_accuracy: 0.8895 - 390ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1028 - categorical_accuracy: 0.9647 - val_loss: 0.3873 - val_categorical_accuracy: 0.8905 - 390ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9542 - val_loss: 0.3951 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1007 - categorical_accuracy: 0.9651 - val_loss: 0.3858 - val_categorical_accuracy: 0.8905 - 390ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1095 - categorical_accuracy: 0.9612 - val_loss: 0.5158 - val_categorical_accuracy: 0.8648 - 390ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9473 - val_loss: 0.3968 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9488 - val_loss: 0.3627 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 1s - loss: 0.1005 - categorical_accuracy: 0.9655 - val_loss: 0.3887 - val_categorical_accuracy: 0.8928 - 548ms/epoch - 11ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1208 - categorical_accuracy: 0.9583 - val_loss: 1.3128 - val_categorical_accuracy: 0.6809 - 390ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.2038 - categorical_accuracy: 0.9403 - val_loss: 0.3612 - val_categorical_accuracy: 0.8983 - 395ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9662 - val_loss: 0.3653 - val_categorical_accuracy: 0.8978 - 405ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1043 - categorical_accuracy: 0.9638 - val_loss: 0.4291 - val_categorical_accuracy: 0.8812 - 390ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1471 - categorical_accuracy: 0.9484 - val_loss: 0.3719 - val_categorical_accuracy: 0.8984 - 430ms/epoch - 9ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.1021 - categorical_accuracy: 0.9648 - val_loss: 0.4360 - val_categorical_accuracy: 0.8745 - 430ms/epoch - 9ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1892 - categorical_accuracy: 0.9394 - val_loss: 0.3740 - val_categorical_accuracy: 0.8941 - 400ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1022 - categorical_accuracy: 0.9651 - val_loss: 0.4139 - val_categorical_accuracy: 0.8848 - 400ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.1582 - categorical_accuracy: 0.9468 - val_loss: 0.3687 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.0998 - categorical_accuracy: 0.9659 - val_loss: 0.4247 - val_categorical_accuracy: 0.8838 - 394ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1928 - categorical_accuracy: 0.9420 - val_loss: 0.3651 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.0985 - categorical_accuracy: 0.9663 - val_loss: 0.4135 - val_categorical_accuracy: 0.8858 - 400ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1097 - categorical_accuracy: 0.9618 - val_loss: 0.7738 - val_categorical_accuracy: 0.8269 - 400ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.2295 - categorical_accuracy: 0.9304 - val_loss: 0.3678 - val_categorical_accuracy: 0.8936 - 410ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1005 - categorical_accuracy: 0.9654 - val_loss: 0.3795 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9653 - val_loss: 0.4050 - val_categorical_accuracy: 0.8835 - 400ms/epoch - 8ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1202 - categorical_accuracy: 0.9575 - val_loss: 0.5305 - val_categorical_accuracy: 0.8530 - 400ms/epoch - 8ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.1179 - categorical_accuracy: 0.9585 - val_loss: 0.3852 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9657 - val_loss: 0.3815 - val_categorical_accuracy: 0.8962 - 420ms/epoch - 9ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.0989 - categorical_accuracy: 0.9655 - val_loss: 0.3825 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.2994 - categorical_accuracy: 0.9173 - val_loss: 0.3664 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9665 - val_loss: 0.3789 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1029 - categorical_accuracy: 0.9643 - val_loss: 0.3775 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.1481 - categorical_accuracy: 0.9549 - val_loss: 0.3890 - val_categorical_accuracy: 0.8880 - 400ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1008 - categorical_accuracy: 0.9648 - val_loss: 0.3911 - val_categorical_accuracy: 0.8919 - 410ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1175 - categorical_accuracy: 0.9595 - val_loss: 0.4020 - val_categorical_accuracy: 0.8914 - 400ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9665 - val_loss: 0.4110 - val_categorical_accuracy: 0.8898 - 400ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.1036 - categorical_accuracy: 0.9645 - val_loss: 0.4122 - val_categorical_accuracy: 0.8878 - 410ms/epoch - 8ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1048 - categorical_accuracy: 0.9628 - val_loss: 0.3796 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.3651 - categorical_accuracy: 0.9029 - val_loss: 0.3731 - val_categorical_accuracy: 0.8846 - 400ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.1137 - categorical_accuracy: 0.9617 - val_loss: 0.3745 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.0973 - categorical_accuracy: 0.9669 - val_loss: 0.3973 - val_categorical_accuracy: 0.8890 - 390ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9670 - val_loss: 0.3782 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0975 - categorical_accuracy: 0.9660 - val_loss: 0.4357 - val_categorical_accuracy: 0.8798 - 420ms/epoch - 9ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.1065 - categorical_accuracy: 0.9624 - val_loss: 0.3862 - val_categorical_accuracy: 0.8963 - 420ms/epoch - 9ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.1860 - categorical_accuracy: 0.9429 - val_loss: 0.3680 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9672 - val_loss: 0.4285 - val_categorical_accuracy: 0.8864 - 400ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.1342 - categorical_accuracy: 0.9553 - val_loss: 0.3839 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9671 - val_loss: 0.3983 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.0978 - categorical_accuracy: 0.9662 - val_loss: 0.3960 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9494 - val_loss: 0.3870 - val_categorical_accuracy: 0.8941 - 410ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9675 - val_loss: 0.4261 - val_categorical_accuracy: 0.8846 - 440ms/epoch - 9ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9655 - val_loss: 0.4174 - val_categorical_accuracy: 0.8889 - 400ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.1949 - categorical_accuracy: 0.9392 - val_loss: 0.3631 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9676 - val_loss: 0.4019 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9655 - val_loss: 0.4387 - val_categorical_accuracy: 0.8812 - 390ms/epoch - 8ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.1000 - categorical_accuracy: 0.9645 - val_loss: 0.4059 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9659 - val_loss: 0.4048 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9662 - val_loss: 0.3999 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.1062 - categorical_accuracy: 0.9623 - val_loss: 0.4664 - val_categorical_accuracy: 0.8753 - 400ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.1027 - categorical_accuracy: 0.9641 - val_loss: 0.7646 - val_categorical_accuracy: 0.8064 - 410ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9524 - val_loss: 0.4255 - val_categorical_accuracy: 0.8871 - 400ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.1524 - categorical_accuracy: 0.9480 - val_loss: 0.3676 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.0931 - categorical_accuracy: 0.9680 - val_loss: 0.3990 - val_categorical_accuracy: 0.8924 - 400ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.1028 - categorical_accuracy: 0.9642 - val_loss: 0.3864 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9682 - val_loss: 0.4903 - val_categorical_accuracy: 0.8714 - 420ms/epoch - 9ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1680 - categorical_accuracy: 0.9486 - val_loss: 0.3820 - val_categorical_accuracy: 0.8969 - 430ms/epoch - 9ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9676 - val_loss: 0.4163 - val_categorical_accuracy: 0.8893 - 400ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.3812 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9677 - val_loss: 0.4194 - val_categorical_accuracy: 0.8947 - 390ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.2151 - categorical_accuracy: 0.9349 - val_loss: 0.3951 - val_categorical_accuracy: 0.8900 - 390ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9670 - val_loss: 0.3995 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9679 - val_loss: 0.3939 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9676 - val_loss: 0.4659 - val_categorical_accuracy: 0.8853 - 390ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1473 - categorical_accuracy: 0.9524 - val_loss: 0.3896 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9679 - val_loss: 0.4133 - val_categorical_accuracy: 0.8929 - 430ms/epoch - 9ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0937 - categorical_accuracy: 0.9677 - val_loss: 0.4101 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9670 - val_loss: 0.4132 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.0951 - categorical_accuracy: 0.9663 - val_loss: 0.3987 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.1620 - categorical_accuracy: 0.9470 - val_loss: 0.3841 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0920 - categorical_accuracy: 0.9678 - val_loss: 0.5042 - val_categorical_accuracy: 0.8711 - 410ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.1328 - categorical_accuracy: 0.9551 - val_loss: 0.3839 - val_categorical_accuracy: 0.9007 - 430ms/epoch - 9ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1092 - categorical_accuracy: 0.9612 - val_loss: 0.4097 - val_categorical_accuracy: 0.8942 - 430ms/epoch - 9ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9683 - val_loss: 0.4144 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9638 - val_loss: 0.4118 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0911 - categorical_accuracy: 0.9690 - val_loss: 0.4379 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9334 - val_loss: 0.4293 - val_categorical_accuracy: 0.8853 - 390ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0972 - categorical_accuracy: 0.9664 - val_loss: 0.3804 - val_categorical_accuracy: 0.9012 - 394ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9695 - val_loss: 0.4041 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9496 - val_loss: 0.3810 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0892 - categorical_accuracy: 0.9694 - val_loss: 0.4368 - val_categorical_accuracy: 0.8898 - 440ms/epoch - 9ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.1000 - categorical_accuracy: 0.9647 - val_loss: 0.4106 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.0974 - categorical_accuracy: 0.9660 - val_loss: 0.7674 - val_categorical_accuracy: 0.8355 - 400ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.2870 - categorical_accuracy: 0.9218 - val_loss: 0.3734 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.4048 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9688 - val_loss: 0.3875 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.0865 - categorical_accuracy: 0.9698 - val_loss: 0.4105 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.1593 - categorical_accuracy: 0.9478 - val_loss: 0.4027 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9677 - val_loss: 0.3989 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9513 - val_loss: 0.4536 - val_categorical_accuracy: 0.8684 - 400ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.1009 - categorical_accuracy: 0.9651 - val_loss: 0.3965 - val_categorical_accuracy: 0.8949 - 420ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9695 - val_loss: 0.3897 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9693 - val_loss: 0.4304 - val_categorical_accuracy: 0.8897 - 390ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9681 - val_loss: 0.4036 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0912 - categorical_accuracy: 0.9678 - val_loss: 0.4402 - val_categorical_accuracy: 0.8811 - 384ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.1803 - categorical_accuracy: 0.9448 - val_loss: 0.4388 - val_categorical_accuracy: 0.8818 - 390ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9677 - val_loss: 0.4005 - val_categorical_accuracy: 0.8959 - 420ms/epoch - 9ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9689 - val_loss: 0.4068 - val_categorical_accuracy: 0.8950 - 420ms/epoch - 9ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9663 - val_loss: 0.8991 - val_categorical_accuracy: 0.8282 - 400ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.1398 - categorical_accuracy: 0.9552 - val_loss: 0.3972 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9685 - val_loss: 0.4584 - val_categorical_accuracy: 0.8811 - 390ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0943 - categorical_accuracy: 0.9676 - val_loss: 0.4512 - val_categorical_accuracy: 0.8838 - 390ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.2249 - categorical_accuracy: 0.9347 - val_loss: 0.4012 - val_categorical_accuracy: 0.8871 - 390ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9680 - val_loss: 0.3925 - val_categorical_accuracy: 0.8989 - 410ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9695 - val_loss: 0.4207 - val_categorical_accuracy: 0.8941 - 434ms/epoch - 9ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9692 - val_loss: 0.4219 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9705 - val_loss: 0.4085 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9698 - val_loss: 0.4134 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9696 - val_loss: 0.4040 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.3522 - categorical_accuracy: 0.9149 - val_loss: 0.5305 - val_categorical_accuracy: 0.8360 - 395ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.1315 - categorical_accuracy: 0.9540 - val_loss: 0.3861 - val_categorical_accuracy: 0.8980 - 410ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9687 - val_loss: 0.3930 - val_categorical_accuracy: 0.8964 - 430ms/epoch - 9ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9694 - val_loss: 0.4281 - val_categorical_accuracy: 0.8894 - 400ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.1599 - categorical_accuracy: 0.9505 - val_loss: 0.4230 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.1035 - categorical_accuracy: 0.9639 - val_loss: 0.4324 - val_categorical_accuracy: 0.8878 - 390ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9698 - val_loss: 0.3916 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9699 - val_loss: 0.4181 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.1727 - categorical_accuracy: 0.9463 - val_loss: 0.3869 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9689 - val_loss: 0.4010 - val_categorical_accuracy: 0.8959 - 410ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9689 - val_loss: 0.4206 - val_categorical_accuracy: 0.8922 - 444ms/epoch - 9ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9687 - val_loss: 0.4146 - val_categorical_accuracy: 0.8938 - 400ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9523 - val_loss: 0.4040 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9704 - val_loss: 0.4018 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0866 - categorical_accuracy: 0.9695 - val_loss: 0.4038 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0943 - categorical_accuracy: 0.9669 - val_loss: 0.4241 - val_categorical_accuracy: 0.8930 - 394ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9701 - val_loss: 0.4283 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.1892 - categorical_accuracy: 0.9447 - val_loss: 0.4371 - val_categorical_accuracy: 0.8848 - 390ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9698 - val_loss: 0.4145 - val_categorical_accuracy: 0.8952 - 400ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9693 - val_loss: 0.4058 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9699 - val_loss: 0.4401 - val_categorical_accuracy: 0.8898 - 414ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9689 - val_loss: 0.4301 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9700 - val_loss: 0.4071 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.1376 - categorical_accuracy: 0.9565 - val_loss: 0.4934 - val_categorical_accuracy: 0.8759 - 390ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9681 - val_loss: 0.3970 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0893 - categorical_accuracy: 0.9683 - val_loss: 0.4689 - val_categorical_accuracy: 0.8849 - 410ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.1801 - categorical_accuracy: 0.9403 - val_loss: 0.4084 - val_categorical_accuracy: 0.8928 - 450ms/epoch - 9ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9706 - val_loss: 0.3946 - val_categorical_accuracy: 0.9000 - 420ms/epoch - 9ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9712 - val_loss: 0.4015 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9685 - val_loss: 0.6154 - val_categorical_accuracy: 0.8496 - 390ms/epoch - 8ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9480 - val_loss: 0.3974 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9710 - val_loss: 0.4055 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9695 - val_loss: 0.4210 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9707 - val_loss: 0.4319 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9441 - val_loss: 0.4209 - val_categorical_accuracy: 0.8914 - 410ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9707 - val_loss: 0.4689 - val_categorical_accuracy: 0.8786 - 400ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0947 - categorical_accuracy: 0.9671 - val_loss: 0.4106 - val_categorical_accuracy: 0.8980 - 388ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9707 - val_loss: 0.4162 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9503 - val_loss: 0.4469 - val_categorical_accuracy: 0.8830 - 390ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9691 - val_loss: 0.3962 - val_categorical_accuracy: 0.9010 - 397ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0817 - categorical_accuracy: 0.9715 - val_loss: 0.4325 - val_categorical_accuracy: 0.8963 - 415ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9703 - val_loss: 0.4575 - val_categorical_accuracy: 0.8901 - 440ms/epoch - 9ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0821 - categorical_accuracy: 0.9709 - val_loss: 0.4218 - val_categorical_accuracy: 0.8968 - 404ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9672 - val_loss: 0.4462 - val_categorical_accuracy: 0.8931 - 394ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0848 - categorical_accuracy: 0.9698 - val_loss: 0.4085 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9705 - val_loss: 0.5399 - val_categorical_accuracy: 0.8772 - 384ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.2447 - categorical_accuracy: 0.9309 - val_loss: 0.3945 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9717 - val_loss: 0.4238 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9707 - val_loss: 0.4355 - val_categorical_accuracy: 0.8889 - 390ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9704 - val_loss: 0.4365 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9667 - val_loss: 0.4264 - val_categorical_accuracy: 0.8951 - 414ms/epoch - 8ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9720 - val_loss: 0.4189 - val_categorical_accuracy: 0.9001 - 430ms/epoch - 9ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9699 - val_loss: 0.4398 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.0858 - categorical_accuracy: 0.9695 - val_loss: 0.4851 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.1629 - categorical_accuracy: 0.9522 - val_loss: 0.4138 - val_categorical_accuracy: 0.8930 - 390ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9711 - val_loss: 0.4221 - val_categorical_accuracy: 0.8971 - 394ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9702 - val_loss: 0.4956 - val_categorical_accuracy: 0.8797 - 400ms/epoch - 8ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9506 - val_loss: 0.4043 - val_categorical_accuracy: 0.8980 - 420ms/epoch - 9ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9707 - val_loss: 0.4533 - val_categorical_accuracy: 0.8891 - 440ms/epoch - 9ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9692 - val_loss: 0.4331 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0918 - categorical_accuracy: 0.9673 - val_loss: 0.4236 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9705 - val_loss: 0.4237 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0847 - categorical_accuracy: 0.9697 - val_loss: 0.4918 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.1980 - categorical_accuracy: 0.9403 - val_loss: 0.4039 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9726 - val_loss: 0.4415 - val_categorical_accuracy: 0.8915 - 390ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9697 - val_loss: 0.4428 - val_categorical_accuracy: 0.8924 - 420ms/epoch - 9ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9680 - val_loss: 0.4508 - val_categorical_accuracy: 0.8929 - 430ms/epoch - 9ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9670 - val_loss: 1.4151 - val_categorical_accuracy: 0.7016 - 390ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.2476 - categorical_accuracy: 0.9343 - val_loss: 0.3849 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9716 - val_loss: 0.4066 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9713 - val_loss: 0.4124 - val_categorical_accuracy: 0.8985 - 394ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9727 - val_loss: 0.4363 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9681 - val_loss: 0.4262 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9693 - val_loss: 0.4285 - val_categorical_accuracy: 0.8979 - 420ms/epoch - 9ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9436 - val_loss: 0.4062 - val_categorical_accuracy: 0.8992 - 430ms/epoch - 9ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9702 - val_loss: 0.4403 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9704 - val_loss: 0.4411 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0872 - categorical_accuracy: 0.9697 - val_loss: 0.4698 - val_categorical_accuracy: 0.8821 - 400ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0847 - categorical_accuracy: 0.9702 - val_loss: 0.4403 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9708 - val_loss: 0.4317 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9723 - val_loss: 0.4203 - val_categorical_accuracy: 0.8989 - 394ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.1779 - categorical_accuracy: 0.9484 - val_loss: 0.4241 - val_categorical_accuracy: 0.8896 - 440ms/epoch - 9ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9701 - val_loss: 0.4823 - val_categorical_accuracy: 0.8787 - 400ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.1759 - categorical_accuracy: 0.9469 - val_loss: 0.4325 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9720 - val_loss: 0.4353 - val_categorical_accuracy: 0.8900 - 390ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9724 - val_loss: 0.4241 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9733 - val_loss: 0.4560 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9704 - val_loss: 0.4280 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.2384 - categorical_accuracy: 0.9340 - val_loss: 0.3945 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9699 - val_loss: 0.4111 - val_categorical_accuracy: 0.8976 - 430ms/epoch - 9ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9732 - val_loss: 0.4135 - val_categorical_accuracy: 0.8995 - 394ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9731 - val_loss: 0.4437 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9727 - val_loss: 0.4295 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.1472 - categorical_accuracy: 0.9553 - val_loss: 0.4326 - val_categorical_accuracy: 0.8872 - 390ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0920 - categorical_accuracy: 0.9676 - val_loss: 0.4613 - val_categorical_accuracy: 0.8867 - 390ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9710 - val_loss: 0.4264 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9724 - val_loss: 0.4332 - val_categorical_accuracy: 0.8961 - 410ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9723 - val_loss: 0.4384 - val_categorical_accuracy: 0.8969 - 440ms/epoch - 9ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9723 - val_loss: 0.4488 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9724 - val_loss: 0.4616 - val_categorical_accuracy: 0.8945 - 390ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.3642 - categorical_accuracy: 0.9061 - val_loss: 0.4077 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9713 - val_loss: 0.4074 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9725 - val_loss: 0.4610 - val_categorical_accuracy: 0.8874 - 390ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9698 - val_loss: 0.4435 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9715 - val_loss: 0.4308 - val_categorical_accuracy: 0.8951 - 410ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9690 - val_loss: 0.4283 - val_categorical_accuracy: 0.8949 - 430ms/epoch - 9ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0974 - categorical_accuracy: 0.9664 - val_loss: 0.4162 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9720 - val_loss: 0.4662 - val_categorical_accuracy: 0.8906 - 390ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.1934 - categorical_accuracy: 0.9441 - val_loss: 0.4145 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9729 - val_loss: 0.4285 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9717 - val_loss: 0.4260 - val_categorical_accuracy: 0.8969 - 394ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.1459 - categorical_accuracy: 0.9557 - val_loss: 0.4022 - val_categorical_accuracy: 0.8996 - 420ms/epoch - 9ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9713 - val_loss: 0.4666 - val_categorical_accuracy: 0.8827 - 430ms/epoch - 9ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9726 - val_loss: 0.4239 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9724 - val_loss: 0.4231 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9738 - val_loss: 0.4828 - val_categorical_accuracy: 0.8843 - 394ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.1843 - categorical_accuracy: 0.9442 - val_loss: 0.3994 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9730 - val_loss: 0.4667 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9727 - val_loss: 0.4545 - val_categorical_accuracy: 0.8932 - 390ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9729 - val_loss: 0.4269 - val_categorical_accuracy: 0.9022 - 410ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9733 - val_loss: 0.4612 - val_categorical_accuracy: 0.8908 - 430ms/epoch - 9ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0998 - categorical_accuracy: 0.9650 - val_loss: 0.6837 - val_categorical_accuracy: 0.8563 - 390ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.1326 - categorical_accuracy: 0.9571 - val_loss: 0.4046 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9733 - val_loss: 0.4771 - val_categorical_accuracy: 0.8869 - 390ms/epoch - 8ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9719 - val_loss: 0.4618 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9739 - val_loss: 0.4553 - val_categorical_accuracy: 0.8949 - 394ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9710 - val_loss: 0.4299 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9729 - val_loss: 0.4649 - val_categorical_accuracy: 0.8931 - 420ms/epoch - 9ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9724 - val_loss: 0.4424 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.1639 - categorical_accuracy: 0.9525 - val_loss: 0.4208 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9747 - val_loss: 0.4421 - val_categorical_accuracy: 0.8961 - 394ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9728 - val_loss: 0.4511 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0890 - categorical_accuracy: 0.9680 - val_loss: 0.4466 - val_categorical_accuracy: 0.8922 - 410ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9730 - val_loss: 0.4521 - val_categorical_accuracy: 0.8924 - 400ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0784 - categorical_accuracy: 0.9720 - val_loss: 0.5321 - val_categorical_accuracy: 0.8810 - 390ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.1841 - categorical_accuracy: 0.9473 - val_loss: 0.4495 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9728 - val_loss: 0.4249 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9718 - val_loss: 0.4376 - val_categorical_accuracy: 0.8954 - 420ms/epoch - 9ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9723 - val_loss: 0.4504 - val_categorical_accuracy: 0.8934 - 430ms/epoch - 9ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9740 - val_loss: 0.4382 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9704 - val_loss: 0.5219 - val_categorical_accuracy: 0.8848 - 390ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 1s - loss: 0.4310 - categorical_accuracy: 0.8965 - val_loss: 0.4076 - val_categorical_accuracy: 0.8910 - 550ms/epoch - 11ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9701 - val_loss: 0.3993 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9736 - val_loss: 0.4264 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9739 - val_loss: 0.4422 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9733 - val_loss: 0.4661 - val_categorical_accuracy: 0.8873 - 424ms/epoch - 9ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9695 - val_loss: 0.4280 - val_categorical_accuracy: 0.8983 - 430ms/epoch - 9ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9735 - val_loss: 0.5215 - val_categorical_accuracy: 0.8760 - 430ms/epoch - 9ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9698 - val_loss: 0.4396 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9739 - val_loss: 0.4760 - val_categorical_accuracy: 0.8947 - 394ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9730 - val_loss: 0.4585 - val_categorical_accuracy: 0.8949 - 396ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9700 - val_loss: 0.4879 - val_categorical_accuracy: 0.8854 - 400ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9701 - val_loss: 0.4380 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9738 - val_loss: 0.4641 - val_categorical_accuracy: 0.8937 - 420ms/epoch - 9ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.2064 - categorical_accuracy: 0.9423 - val_loss: 0.4336 - val_categorical_accuracy: 0.8922 - 394ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9741 - val_loss: 0.4354 - val_categorical_accuracy: 0.8970 - 396ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9742 - val_loss: 0.4188 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.1512 - categorical_accuracy: 0.9524 - val_loss: 0.4257 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9738 - val_loss: 0.4300 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9745 - val_loss: 0.4440 - val_categorical_accuracy: 0.8995 - 430ms/epoch - 9ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9742 - val_loss: 0.4492 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9730 - val_loss: 0.4353 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9736 - val_loss: 0.4431 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9732 - val_loss: 0.4792 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9702 - val_loss: 0.4818 - val_categorical_accuracy: 0.8914 - 394ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.2076 - categorical_accuracy: 0.9395 - val_loss: 0.4151 - val_categorical_accuracy: 0.9030 - 396ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9741 - val_loss: 0.4452 - val_categorical_accuracy: 0.8973 - 410ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9731 - val_loss: 0.4509 - val_categorical_accuracy: 0.8953 - 410ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9704 - val_loss: 0.4519 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9747 - val_loss: 0.4421 - val_categorical_accuracy: 0.9005 - 404ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9734 - val_loss: 0.4756 - val_categorical_accuracy: 0.8949 - 396ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9726 - val_loss: 0.4584 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9707 - val_loss: 0.4672 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9713 - val_loss: 0.4634 - val_categorical_accuracy: 0.8920 - 390ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9727 - val_loss: 0.4779 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.1865 - categorical_accuracy: 0.9486 - val_loss: 0.4545 - val_categorical_accuracy: 0.8942 - 422ms/epoch - 9ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9723 - val_loss: 0.4371 - val_categorical_accuracy: 0.9002 - 420ms/epoch - 9ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9741 - val_loss: 0.4569 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9735 - val_loss: 0.4573 - val_categorical_accuracy: 0.8991 - 390ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9729 - val_loss: 0.4799 - val_categorical_accuracy: 0.8954 - 395ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.1894 - categorical_accuracy: 0.9430 - val_loss: 0.4117 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9744 - val_loss: 0.4483 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9719 - val_loss: 0.5476 - val_categorical_accuracy: 0.8685 - 410ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.1488 - categorical_accuracy: 0.9550 - val_loss: 0.4442 - val_categorical_accuracy: 0.8954 - 440ms/epoch - 9ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9744 - val_loss: 0.4564 - val_categorical_accuracy: 0.8939 - 394ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9739 - val_loss: 0.4722 - val_categorical_accuracy: 0.8953 - 396ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9732 - val_loss: 0.5385 - val_categorical_accuracy: 0.8801 - 400ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.2047 - categorical_accuracy: 0.9442 - val_loss: 0.4181 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9743 - val_loss: 0.4471 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9749 - val_loss: 0.4372 - val_categorical_accuracy: 0.9012 - 394ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9749 - val_loss: 0.4499 - val_categorical_accuracy: 0.8990 - 396ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9728 - val_loss: 0.4367 - val_categorical_accuracy: 0.9006 - 430ms/epoch - 9ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9710 - val_loss: 0.4813 - val_categorical_accuracy: 0.8898 - 394ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9733 - val_loss: 0.4854 - val_categorical_accuracy: 0.8914 - 394ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9730 - val_loss: 0.4629 - val_categorical_accuracy: 0.8942 - 394ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9748 - val_loss: 0.4612 - val_categorical_accuracy: 0.8987 - 396ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9737 - val_loss: 0.4515 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9730 - val_loss: 0.4870 - val_categorical_accuracy: 0.8885 - 420ms/epoch - 9ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9746 - val_loss: 0.4580 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9494 - val_loss: 0.4311 - val_categorical_accuracy: 0.9020 - 394ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0829 - categorical_accuracy: 0.9712 - val_loss: 0.4445 - val_categorical_accuracy: 0.8995 - 396ms/epoch - 8ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9747 - val_loss: 0.4752 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9716 - val_loss: 0.4781 - val_categorical_accuracy: 0.8928 - 410ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9739 - val_loss: 0.4801 - val_categorical_accuracy: 0.8903 - 390ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9739 - val_loss: 0.5127 - val_categorical_accuracy: 0.8838 - 390ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0822 - categorical_accuracy: 0.9705 - val_loss: 0.4740 - val_categorical_accuracy: 0.8948 - 388ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9731 - val_loss: 0.4655 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9728 - val_loss: 0.5690 - val_categorical_accuracy: 0.8713 - 420ms/epoch - 9ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.1429 - categorical_accuracy: 0.9561 - val_loss: 0.4730 - val_categorical_accuracy: 0.8924 - 430ms/epoch - 9ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9744 - val_loss: 0.4611 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9731 - val_loss: 0.4516 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9752 - val_loss: 0.4589 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9733 - val_loss: 0.5033 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.1841 - categorical_accuracy: 0.9469 - val_loss: 0.4324 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9744 - val_loss: 0.4465 - val_categorical_accuracy: 0.8984 - 420ms/epoch - 9ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9752 - val_loss: 0.4535 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9748 - val_loss: 0.4774 - val_categorical_accuracy: 0.8924 - 400ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9736 - val_loss: 0.4734 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9734 - val_loss: 0.4577 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9549 - val_loss: 0.4471 - val_categorical_accuracy: 0.8949 - 394ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9740 - val_loss: 0.4437 - val_categorical_accuracy: 0.9011 - 396ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9753 - val_loss: 0.4555 - val_categorical_accuracy: 0.8980 - 420ms/epoch - 9ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9742 - val_loss: 0.4578 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9752 - val_loss: 0.5625 - val_categorical_accuracy: 0.8823 - 390ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.6022 - categorical_accuracy: 0.8525 - val_loss: 0.4130 - val_categorical_accuracy: 0.8901 - 390ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9668 - val_loss: 0.4286 - val_categorical_accuracy: 0.8976 - 392ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9733 - val_loss: 0.4237 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9749 - val_loss: 0.4224 - val_categorical_accuracy: 0.9031 - 410ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9751 - val_loss: 0.4253 - val_categorical_accuracy: 0.9008 - 420ms/epoch - 9ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9751 - val_loss: 0.4563 - val_categorical_accuracy: 0.8948 - 394ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9738 - val_loss: 0.4404 - val_categorical_accuracy: 0.9011 - 396ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9746 - val_loss: 0.5021 - val_categorical_accuracy: 0.8837 - 390ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.1729 - categorical_accuracy: 0.9513 - val_loss: 0.4308 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9757 - val_loss: 0.4648 - val_categorical_accuracy: 0.8973 - 410ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9756 - val_loss: 0.4370 - val_categorical_accuracy: 0.8998 - 424ms/epoch - 9ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9749 - val_loss: 0.4636 - val_categorical_accuracy: 0.8962 - 396ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9735 - val_loss: 0.4659 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9749 - val_loss: 0.4587 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9660 - val_loss: 0.4624 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9748 - val_loss: 0.4681 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9752 - val_loss: 0.4511 - val_categorical_accuracy: 0.9012 - 412ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.4731 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.1743 - categorical_accuracy: 0.9501 - val_loss: 0.4215 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9750 - val_loss: 0.5030 - val_categorical_accuracy: 0.8848 - 400ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9746 - val_loss: 0.4525 - val_categorical_accuracy: 0.8962 - 394ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9748 - val_loss: 0.4960 - val_categorical_accuracy: 0.8876 - 426ms/epoch - 9ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.2490 - categorical_accuracy: 0.9352 - val_loss: 0.4191 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9760 - val_loss: 0.4317 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9750 - val_loss: 0.4532 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9742 - val_loss: 0.5990 - val_categorical_accuracy: 0.8727 - 394ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.1499 - categorical_accuracy: 0.9556 - val_loss: 0.4327 - val_categorical_accuracy: 0.9001 - 406ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9760 - val_loss: 0.4502 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9758 - val_loss: 0.4433 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9762 - val_loss: 0.4601 - val_categorical_accuracy: 0.8981 - 430ms/epoch - 9ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.1294 - categorical_accuracy: 0.9585 - val_loss: 0.4484 - val_categorical_accuracy: 0.8962 - 394ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9746 - val_loss: 0.4572 - val_categorical_accuracy: 0.8978 - 386ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9741 - val_loss: 0.4416 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9762 - val_loss: 0.4703 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9754 - val_loss: 0.4770 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9751 - val_loss: 0.4891 - val_categorical_accuracy: 0.8932 - 420ms/epoch - 9ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9752 - val_loss: 0.4676 - val_categorical_accuracy: 0.8961 - 422ms/epoch - 9ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9758 - val_loss: 0.4724 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9716 - val_loss: 0.5137 - val_categorical_accuracy: 0.8857 - 390ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.5148 - categorical_accuracy: 0.8676 - val_loss: 0.4126 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9688 - val_loss: 0.4409 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9742 - val_loss: 0.4474 - val_categorical_accuracy: 0.8941 - 394ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9748 - val_loss: 0.4378 - val_categorical_accuracy: 0.8982 - 410ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9760 - val_loss: 0.4679 - val_categorical_accuracy: 0.8939 - 430ms/epoch - 9ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9744 - val_loss: 0.5328 - val_categorical_accuracy: 0.8788 - 394ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.2303 - categorical_accuracy: 0.9384 - val_loss: 0.4348 - val_categorical_accuracy: 0.8951 - 404ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9749 - val_loss: 0.4231 - val_categorical_accuracy: 0.9025 - 396ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9759 - val_loss: 0.4385 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9768 - val_loss: 0.4416 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9755 - val_loss: 0.4421 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9754 - val_loss: 0.4474 - val_categorical_accuracy: 0.9013 - 410ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9734 - val_loss: 0.5103 - val_categorical_accuracy: 0.8855 - 432ms/epoch - 9ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.1344 - categorical_accuracy: 0.9590 - val_loss: 0.5382 - val_categorical_accuracy: 0.8735 - 400ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9710 - val_loss: 0.4509 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9765 - val_loss: 0.4538 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9763 - val_loss: 0.4911 - val_categorical_accuracy: 0.8940 - 394ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9735 - val_loss: 0.4777 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9754 - val_loss: 0.4919 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9745 - val_loss: 0.4528 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9753 - val_loss: 0.5084 - val_categorical_accuracy: 0.8838 - 390ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.1490 - categorical_accuracy: 0.9522 - val_loss: 0.4690 - val_categorical_accuracy: 0.8952 - 424ms/epoch - 9ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9752 - val_loss: 0.4794 - val_categorical_accuracy: 0.8931 - 426ms/epoch - 9ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9758 - val_loss: 0.4515 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9762 - val_loss: 0.4624 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.1439 - categorical_accuracy: 0.9536 - val_loss: 0.4526 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9763 - val_loss: 0.4692 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9756 - val_loss: 0.4677 - val_categorical_accuracy: 0.8988 - 388ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9742 - val_loss: 0.4614 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9752 - val_loss: 0.4904 - val_categorical_accuracy: 0.8949 - 430ms/epoch - 9ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.2108 - categorical_accuracy: 0.9407 - val_loss: 0.4367 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9762 - val_loss: 0.4530 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9764 - val_loss: 0.4497 - val_categorical_accuracy: 0.9020 - 388ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9751 - val_loss: 0.4756 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9759 - val_loss: 0.4666 - val_categorical_accuracy: 0.8959 - 410ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9749 - val_loss: 0.4731 - val_categorical_accuracy: 0.8971 - 420ms/epoch - 9ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.4850 - val_categorical_accuracy: 0.8969 - 404ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9751 - val_loss: 0.4695 - val_categorical_accuracy: 0.8999 - 406ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9750 - val_loss: 0.4653 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9762 - val_loss: 0.4783 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9770 - val_loss: 0.4912 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9713 - val_loss: 0.6751 - val_categorical_accuracy: 0.8705 - 390ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.1656 - categorical_accuracy: 0.9549 - val_loss: 0.4435 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9765 - val_loss: 0.4742 - val_categorical_accuracy: 0.8964 - 400ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9765 - val_loss: 0.4644 - val_categorical_accuracy: 0.8990 - 420ms/epoch - 9ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9736 - val_loss: 0.5135 - val_categorical_accuracy: 0.8842 - 450ms/epoch - 9ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9749 - val_loss: 0.4935 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9754 - val_loss: 0.4910 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9727 - val_loss: 0.5235 - val_categorical_accuracy: 0.8908 - 400ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9743 - val_loss: 0.5181 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9738 - val_loss: 0.4847 - val_categorical_accuracy: 0.8973 - 390ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9764 - val_loss: 0.5140 - val_categorical_accuracy: 0.8879 - 390ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9755 - val_loss: 0.4873 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9732 - val_loss: 0.5001 - val_categorical_accuracy: 0.8913 - 400ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9734 - val_loss: 1.1388 - val_categorical_accuracy: 0.8017 - 390ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9541 - val_loss: 0.4933 - val_categorical_accuracy: 0.8950 - 400ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9764 - val_loss: 0.4733 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9762 - val_loss: 0.4784 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9740 - val_loss: 0.6352 - val_categorical_accuracy: 0.8675 - 390ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.1414 - categorical_accuracy: 0.9600 - val_loss: 0.4795 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9762 - val_loss: 0.4831 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9743 - val_loss: 0.4763 - val_categorical_accuracy: 0.9010 - 410ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9768 - val_loss: 0.4685 - val_categorical_accuracy: 0.9034 - 398ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9758 - val_loss: 0.5184 - val_categorical_accuracy: 0.8900 - 420ms/epoch - 9ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.2335 - categorical_accuracy: 0.9368 - val_loss: 0.4501 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9766 - val_loss: 0.4594 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9766 - val_loss: 0.4807 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9753 - val_loss: 0.4741 - val_categorical_accuracy: 0.8997 - 395ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.5038 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9761 - val_loss: 0.5351 - val_categorical_accuracy: 0.8885 - 410ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9743 - val_loss: 0.5168 - val_categorical_accuracy: 0.8897 - 420ms/epoch - 9ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9741 - val_loss: 0.4750 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9757 - val_loss: 0.5247 - val_categorical_accuracy: 0.8918 - 392ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9754 - val_loss: 0.5063 - val_categorical_accuracy: 0.8925 - 395ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9704 - val_loss: 0.5368 - val_categorical_accuracy: 0.8884 - 390ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.6979 - categorical_accuracy: 0.8177 - val_loss: 0.4446 - val_categorical_accuracy: 0.8705 - 417ms/epoch - 9ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.1287 - categorical_accuracy: 0.9539 - val_loss: 0.4390 - val_categorical_accuracy: 0.8906 - 424ms/epoch - 9ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9713 - val_loss: 0.4608 - val_categorical_accuracy: 0.8932 - 396ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0775 - categorical_accuracy: 0.9727 - val_loss: 0.4500 - val_categorical_accuracy: 0.8965 - 392ms/epoch - 8ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9754 - val_loss: 0.4459 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9762 - val_loss: 0.4592 - val_categorical_accuracy: 0.9001 - 394ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9756 - val_loss: 0.4785 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9754 - val_loss: 0.4488 - val_categorical_accuracy: 0.9060 - 394ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9745 - val_loss: 0.4576 - val_categorical_accuracy: 0.9008 - 410ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9780 - val_loss: 0.4725 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9772 - val_loss: 0.4906 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9764 - val_loss: 0.5008 - val_categorical_accuracy: 0.8902 - 390ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9726 - val_loss: 0.5049 - val_categorical_accuracy: 0.8901 - 394ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9749 - val_loss: 0.4754 - val_categorical_accuracy: 0.9027 - 410ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9765 - val_loss: 0.4869 - val_categorical_accuracy: 0.9016 - 430ms/epoch - 9ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9770 - val_loss: 0.4809 - val_categorical_accuracy: 0.9014 - 430ms/epoch - 9ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9752 - val_loss: 0.5270 - val_categorical_accuracy: 0.8914 - 394ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9742 - val_loss: 0.4943 - val_categorical_accuracy: 0.8972 - 411ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9746 - val_loss: 0.4834 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.3676 - categorical_accuracy: 0.9149 - val_loss: 0.5116 - val_categorical_accuracy: 0.8495 - 390ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.1186 - categorical_accuracy: 0.9579 - val_loss: 0.4373 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9755 - val_loss: 0.4408 - val_categorical_accuracy: 0.9026 - 394ms/epoch - 8ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9774 - val_loss: 0.4805 - val_categorical_accuracy: 0.8962 - 386ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.1755 - categorical_accuracy: 0.9502 - val_loss: 0.4389 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9772 - val_loss: 0.4554 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.4757 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9768 - val_loss: 0.4502 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9770 - val_loss: 0.4739 - val_categorical_accuracy: 0.8979 - 434ms/epoch - 9ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9755 - val_loss: 0.4690 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9773 - val_loss: 0.5209 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.1844 - categorical_accuracy: 0.9511 - val_loss: 0.4476 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9766 - val_loss: 0.4651 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9767 - val_loss: 0.4632 - val_categorical_accuracy: 0.9009 - 388ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9768 - val_loss: 0.4594 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9760 - val_loss: 0.4664 - val_categorical_accuracy: 0.9009 - 410ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9771 - val_loss: 0.5058 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9759 - val_loss: 0.4953 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9763 - val_loss: 0.4882 - val_categorical_accuracy: 0.9000 - 394ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9764 - val_loss: 0.5074 - val_categorical_accuracy: 0.8889 - 390ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9751 - val_loss: 0.5252 - val_categorical_accuracy: 0.8941 - 410ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.1491 - categorical_accuracy: 0.9553 - val_loss: 0.4446 - val_categorical_accuracy: 0.9024 - 440ms/epoch - 9ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9772 - val_loss: 0.5022 - val_categorical_accuracy: 0.8917 - 434ms/epoch - 9ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9766 - val_loss: 0.4961 - val_categorical_accuracy: 0.8930 - 396ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9764 - val_loss: 0.4897 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9755 - val_loss: 0.5023 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9771 - val_loss: 0.4980 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9771 - val_loss: 0.4966 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.4909 - val_categorical_accuracy: 0.8969 - 388ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9734 - val_loss: 0.5203 - val_categorical_accuracy: 0.8914 - 400ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9765 - val_loss: 0.5498 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0717 - categorical_accuracy: 0.9742 - val_loss: 0.5622 - val_categorical_accuracy: 0.8851 - 400ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9724 - val_loss: 0.5003 - val_categorical_accuracy: 0.8923 - 410ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9775 - val_loss: 0.4998 - val_categorical_accuracy: 0.8970 - 394ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.1189 - categorical_accuracy: 0.9654 - val_loss: 1.9486 - val_categorical_accuracy: 0.6279 - 390ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 1s - loss: 0.1954 - categorical_accuracy: 0.9436 - val_loss: 0.4448 - val_categorical_accuracy: 0.9018 - 560ms/epoch - 11ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9767 - val_loss: 0.4883 - val_categorical_accuracy: 0.8962 - 400ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9778 - val_loss: 0.4563 - val_categorical_accuracy: 0.9051 - 430ms/epoch - 9ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9769 - val_loss: 0.4736 - val_categorical_accuracy: 0.8988 - 430ms/epoch - 9ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9767 - val_loss: 0.5100 - val_categorical_accuracy: 0.8978 - 430ms/epoch - 9ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9768 - val_loss: 0.4811 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9774 - val_loss: 0.5203 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9744 - val_loss: 0.4908 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9773 - val_loss: 0.5512 - val_categorical_accuracy: 0.8794 - 400ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.2425 - categorical_accuracy: 0.9353 - val_loss: 0.4699 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9762 - val_loss: 0.4562 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9774 - val_loss: 0.4887 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9773 - val_loss: 0.4916 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9771 - val_loss: 0.5062 - val_categorical_accuracy: 0.8922 - 400ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.2788 - categorical_accuracy: 0.9337 - val_loss: 0.5067 - val_categorical_accuracy: 0.8627 - 400ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9660 - val_loss: 0.4907 - val_categorical_accuracy: 0.8876 - 400ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9773 - val_loss: 0.4649 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9765 - val_loss: 0.4656 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9778 - val_loss: 0.4846 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9776 - val_loss: 0.4716 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9778 - val_loss: 0.4912 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9770 - val_loss: 0.4867 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9782 - val_loss: 0.5116 - val_categorical_accuracy: 0.8899 - 394ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9781 - val_loss: 0.4976 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9763 - val_loss: 0.5003 - val_categorical_accuracy: 0.8995 - 410ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9770 - val_loss: 0.5155 - val_categorical_accuracy: 0.8919 - 440ms/epoch - 9ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9759 - val_loss: 0.4954 - val_categorical_accuracy: 0.9004 - 430ms/epoch - 9ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9769 - val_loss: 0.4964 - val_categorical_accuracy: 0.8989 - 394ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9766 - val_loss: 0.5257 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9502 - val_loss: 0.4597 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9773 - val_loss: 0.4851 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.4758 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9766 - val_loss: 0.5129 - val_categorical_accuracy: 0.8945 - 395ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9768 - val_loss: 0.4885 - val_categorical_accuracy: 0.8973 - 400ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.5074 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9755 - val_loss: 0.5073 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9766 - val_loss: 0.5098 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9771 - val_loss: 0.4892 - val_categorical_accuracy: 0.9046 - 410ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9783 - val_loss: 0.5349 - val_categorical_accuracy: 0.8927 - 430ms/epoch - 9ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.1441 - categorical_accuracy: 0.9587 - val_loss: 0.4831 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.4896 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9776 - val_loss: 0.4872 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9775 - val_loss: 0.5212 - val_categorical_accuracy: 0.8977 - 394ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9551 - val_loss: 0.4824 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9777 - val_loss: 0.4671 - val_categorical_accuracy: 0.9035 - 410ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9782 - val_loss: 0.5021 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9782 - val_loss: 0.4974 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9779 - val_loss: 0.5309 - val_categorical_accuracy: 0.8904 - 385ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9776 - val_loss: 0.5016 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9781 - val_loss: 0.5093 - val_categorical_accuracy: 0.8999 - 420ms/epoch - 9ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9765 - val_loss: 0.4982 - val_categorical_accuracy: 0.8976 - 430ms/epoch - 9ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9777 - val_loss: 0.5144 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9776 - val_loss: 0.5117 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9778 - val_loss: 0.5811 - val_categorical_accuracy: 0.8845 - 390ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9716 - val_loss: 0.4976 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9767 - val_loss: 0.5287 - val_categorical_accuracy: 0.8926 - 390ms/epoch - 8ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9763 - val_loss: 0.4990 - val_categorical_accuracy: 0.9012 - 420ms/epoch - 9ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9776 - val_loss: 0.5463 - val_categorical_accuracy: 0.8919 - 435ms/epoch - 9ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.2019 - categorical_accuracy: 0.9462 - val_loss: 0.4717 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9777 - val_loss: 0.4817 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9785 - val_loss: 0.5294 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.1416 - categorical_accuracy: 0.9560 - val_loss: 0.4745 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9782 - val_loss: 0.4970 - val_categorical_accuracy: 0.8954 - 395ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9778 - val_loss: 0.5051 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9784 - val_loss: 0.4922 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9747 - val_loss: 0.4878 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9779 - val_loss: 0.5158 - val_categorical_accuracy: 0.8950 - 430ms/epoch - 9ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9782 - val_loss: 0.5340 - val_categorical_accuracy: 0.8949 - 404ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.2022 - categorical_accuracy: 0.9448 - val_loss: 0.4627 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9786 - val_loss: 0.4837 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9780 - val_loss: 0.4907 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9789 - val_loss: 0.4900 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9767 - val_loss: 0.4801 - val_categorical_accuracy: 0.9013 - 394ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9783 - val_loss: 0.5099 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9778 - val_loss: 0.5698 - val_categorical_accuracy: 0.8858 - 390ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.1738 - categorical_accuracy: 0.9504 - val_loss: 0.4762 - val_categorical_accuracy: 0.8998 - 420ms/epoch - 9ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4738 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9786 - val_loss: 0.4899 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9780 - val_loss: 0.5002 - val_categorical_accuracy: 0.8952 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9778 - val_loss: 0.4877 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9781 - val_loss: 0.5039 - val_categorical_accuracy: 0.8987 - 420ms/epoch - 9ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9786 - val_loss: 0.4999 - val_categorical_accuracy: 0.8975 - 430ms/epoch - 9ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9762 - val_loss: 0.5109 - val_categorical_accuracy: 0.8968 - 385ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9771 - val_loss: 0.5441 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9762 - val_loss: 0.5017 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9753 - val_loss: 0.5511 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9497 - val_loss: 0.4634 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9782 - val_loss: 0.5006 - val_categorical_accuracy: 0.8949 - 420ms/epoch - 9ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9779 - val_loss: 0.5089 - val_categorical_accuracy: 0.8956 - 430ms/epoch - 9ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9742 - val_loss: 0.5909 - val_categorical_accuracy: 0.8728 - 390ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9743 - val_loss: 0.4868 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9765 - val_loss: 0.5094 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9774 - val_loss: 0.5090 - val_categorical_accuracy: 0.8942 - 390ms/epoch - 8ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9751 - val_loss: 0.4972 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9761 - val_loss: 0.5097 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.5095 - val_categorical_accuracy: 0.9021 - 420ms/epoch - 9ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9780 - val_loss: 0.5171 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9778 - val_loss: 0.5236 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9769 - val_loss: 0.5386 - val_categorical_accuracy: 0.8932 - 395ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.3229 - categorical_accuracy: 0.9208 - val_loss: 0.4602 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9776 - val_loss: 0.4658 - val_categorical_accuracy: 0.9007 - 389ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9786 - val_loss: 0.4919 - val_categorical_accuracy: 0.8969 - 390ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9791 - val_loss: 0.5148 - val_categorical_accuracy: 0.8950 - 410ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9785 - val_loss: 0.5033 - val_categorical_accuracy: 0.8968 - 430ms/epoch - 9ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9785 - val_loss: 0.5223 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9770 - val_loss: 0.4985 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9798 - val_loss: 0.5291 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9781 - val_loss: 0.5148 - val_categorical_accuracy: 0.8949 - 395ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9779 - val_loss: 0.5052 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9776 - val_loss: 0.5220 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9794 - val_loss: 0.5123 - val_categorical_accuracy: 0.9020 - 410ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.5441 - val_categorical_accuracy: 0.8946 - 440ms/epoch - 9ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9751 - val_loss: 0.5101 - val_categorical_accuracy: 0.9040 - 395ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9776 - val_loss: 0.5338 - val_categorical_accuracy: 0.8927 - 390ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9766 - val_loss: 0.5330 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9769 - val_loss: 0.5221 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9738 - val_loss: 0.5588 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9773 - val_loss: 0.5261 - val_categorical_accuracy: 0.8982 - 384ms/epoch - 8ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9796 - val_loss: 0.5026 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9794 - val_loss: 0.5422 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.4251 - categorical_accuracy: 0.8983 - val_loss: 0.4769 - val_categorical_accuracy: 0.8929 - 410ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9741 - val_loss: 0.4803 - val_categorical_accuracy: 0.8979 - 420ms/epoch - 9ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9782 - val_loss: 0.5286 - val_categorical_accuracy: 0.8895 - 400ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9768 - val_loss: 0.5080 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9771 - val_loss: 0.5251 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9780 - val_loss: 0.5108 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9786 - val_loss: 0.5120 - val_categorical_accuracy: 0.8998 - 420ms/epoch - 9ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9780 - val_loss: 0.4849 - val_categorical_accuracy: 0.9063 - 404ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9786 - val_loss: 0.5605 - val_categorical_accuracy: 0.8877 - 390ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.2144 - categorical_accuracy: 0.9453 - val_loss: 0.4840 - val_categorical_accuracy: 0.8953 - 390ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9778 - val_loss: 0.4746 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9793 - val_loss: 0.5216 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9760 - val_loss: 0.5180 - val_categorical_accuracy: 0.8960 - 404ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.5052 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9786 - val_loss: 0.5024 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9792 - val_loss: 0.5012 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9784 - val_loss: 0.5368 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9781 - val_loss: 0.5435 - val_categorical_accuracy: 0.8916 - 420ms/epoch - 9ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9783 - val_loss: 0.5015 - val_categorical_accuracy: 0.9028 - 430ms/epoch - 9ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9786 - val_loss: 0.5170 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9782 - val_loss: 0.5207 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9783 - val_loss: 0.5367 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9796 - val_loss: 0.5191 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9785 - val_loss: 0.5697 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.1914 - categorical_accuracy: 0.9476 - val_loss: 0.4737 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9781 - val_loss: 0.5769 - val_categorical_accuracy: 0.8826 - 400ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9754 - val_loss: 0.5166 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.5874 - val_categorical_accuracy: 0.8789 - 390ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.1288 - categorical_accuracy: 0.9609 - val_loss: 0.4849 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.5093 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9771 - val_loss: 0.4970 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9788 - val_loss: 0.5413 - val_categorical_accuracy: 0.8909 - 410ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9782 - val_loss: 0.5854 - val_categorical_accuracy: 0.8800 - 400ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9566 - val_loss: 0.4960 - val_categorical_accuracy: 0.8988 - 420ms/epoch - 9ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9789 - val_loss: 0.4908 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9791 - val_loss: 0.5544 - val_categorical_accuracy: 0.8863 - 390ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9728 - val_loss: 0.5036 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9791 - val_loss: 0.5197 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9792 - val_loss: 0.5044 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9791 - val_loss: 0.5298 - val_categorical_accuracy: 0.8952 - 430ms/epoch - 9ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9780 - val_loss: 0.5288 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9789 - val_loss: 0.5354 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9785 - val_loss: 0.5702 - val_categorical_accuracy: 0.8920 - 390ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9751 - val_loss: 0.5091 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9794 - val_loss: 0.5403 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.5303 - val_categorical_accuracy: 0.9005 - 410ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9779 - val_loss: 0.5201 - val_categorical_accuracy: 0.8981 - 410ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9773 - val_loss: 0.5514 - val_categorical_accuracy: 0.8928 - 410ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9783 - val_loss: 0.5153 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9786 - val_loss: 0.5464 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9770 - val_loss: 0.5492 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9779 - val_loss: 0.5459 - val_categorical_accuracy: 0.8977 - 390ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.5439 - val_categorical_accuracy: 0.8952 - 394ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9770 - val_loss: 0.5266 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9781 - val_loss: 0.5288 - val_categorical_accuracy: 0.9056 - 420ms/epoch - 9ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.5450 - val_categorical_accuracy: 0.9006 - 430ms/epoch - 9ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9785 - val_loss: 0.5365 - val_categorical_accuracy: 0.8986 - 390ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.4763 - categorical_accuracy: 0.8873 - val_loss: 0.4609 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9714 - val_loss: 0.4761 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9778 - val_loss: 0.4850 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9770 - val_loss: 0.5067 - val_categorical_accuracy: 0.8973 - 400ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9781 - val_loss: 0.4942 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9775 - val_loss: 0.5081 - val_categorical_accuracy: 0.9015 - 404ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9791 - val_loss: 0.5273 - val_categorical_accuracy: 0.8913 - 430ms/epoch - 9ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.2203 - categorical_accuracy: 0.9424 - val_loss: 0.4726 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9791 - val_loss: 0.4819 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.5188 - val_categorical_accuracy: 0.8918 - 400ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9773 - val_loss: 0.5316 - val_categorical_accuracy: 0.8934 - 400ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9786 - val_loss: 0.5035 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9802 - val_loss: 0.5145 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.5172 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9802 - val_loss: 0.5163 - val_categorical_accuracy: 0.8985 - 420ms/epoch - 9ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9790 - val_loss: 0.5169 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9800 - val_loss: 0.5061 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.2147 - categorical_accuracy: 0.9452 - val_loss: 0.4857 - val_categorical_accuracy: 0.8952 - 390ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.4896 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9805 - val_loss: 0.4987 - val_categorical_accuracy: 0.9030 - 410ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9802 - val_loss: 0.5339 - val_categorical_accuracy: 0.8974 - 420ms/epoch - 9ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9789 - val_loss: 0.6110 - val_categorical_accuracy: 0.8718 - 400ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9707 - val_loss: 0.5313 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9788 - val_loss: 0.5084 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9789 - val_loss: 0.5108 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9791 - val_loss: 0.5139 - val_categorical_accuracy: 0.9019 - 420ms/epoch - 9ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.5262 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9799 - val_loss: 0.5261 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9787 - val_loss: 0.5242 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9803 - val_loss: 0.5398 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9787 - val_loss: 0.6018 - val_categorical_accuracy: 0.8870 - 400ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9477 - val_loss: 0.4883 - val_categorical_accuracy: 0.8986 - 410ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9796 - val_loss: 0.5108 - val_categorical_accuracy: 0.9012 - 430ms/epoch - 9ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9800 - val_loss: 0.5180 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9798 - val_loss: 0.5111 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9787 - val_loss: 0.5430 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.5342 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9783 - val_loss: 0.6021 - val_categorical_accuracy: 0.8856 - 390ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.1763 - categorical_accuracy: 0.9514 - val_loss: 0.5084 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9801 - val_loss: 0.5141 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9796 - val_loss: 0.5156 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9794 - val_loss: 0.5171 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5327 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.5738 - val_categorical_accuracy: 0.8904 - 390ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.2074 - categorical_accuracy: 0.9443 - val_loss: 0.4960 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9789 - val_loss: 0.5189 - val_categorical_accuracy: 0.8949 - 410ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9787 - val_loss: 0.5228 - val_categorical_accuracy: 0.8959 - 430ms/epoch - 9ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9786 - val_loss: 0.5221 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.5172 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9806 - val_loss: 0.5331 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.1629 - categorical_accuracy: 0.9539 - val_loss: 0.5032 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9790 - val_loss: 0.5099 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9796 - val_loss: 0.5263 - val_categorical_accuracy: 0.8948 - 440ms/epoch - 9ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9793 - val_loss: 0.5269 - val_categorical_accuracy: 0.8970 - 420ms/epoch - 9ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9722 - val_loss: 0.5133 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9798 - val_loss: 0.5324 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9800 - val_loss: 0.5351 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.5424 - val_categorical_accuracy: 0.8948 - 400ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5246 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9806 - val_loss: 0.5257 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9796 - val_loss: 0.5303 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9787 - val_loss: 0.5368 - val_categorical_accuracy: 0.8963 - 410ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.1918 - categorical_accuracy: 0.9483 - val_loss: 0.4847 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9791 - val_loss: 0.4976 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9786 - val_loss: 0.5266 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9801 - val_loss: 0.5452 - val_categorical_accuracy: 0.8944 - 400ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9786 - val_loss: 0.5095 - val_categorical_accuracy: 0.9040 - 410ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9798 - val_loss: 0.5324 - val_categorical_accuracy: 0.8969 - 428ms/epoch - 9ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9798 - val_loss: 0.5268 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9769 - val_loss: 0.5341 - val_categorical_accuracy: 0.8939 - 387ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9784 - val_loss: 0.5860 - val_categorical_accuracy: 0.8888 - 395ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0863 - categorical_accuracy: 0.9715 - val_loss: 1.7093 - val_categorical_accuracy: 0.6876 - 390ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.1570 - categorical_accuracy: 0.9548 - val_loss: 0.5249 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 1s - loss: 0.0595 - categorical_accuracy: 0.9785 - val_loss: 0.5292 - val_categorical_accuracy: 0.8966 - 553ms/epoch - 11ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9788 - val_loss: 0.5560 - val_categorical_accuracy: 0.8934 - 430ms/epoch - 9ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9792 - val_loss: 0.5055 - val_categorical_accuracy: 0.9011 - 430ms/epoch - 9ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9803 - val_loss: 0.5313 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5265 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9804 - val_loss: 0.5263 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.5329 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9807 - val_loss: 0.5321 - val_categorical_accuracy: 0.9014 - 394ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9796 - val_loss: 0.5283 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9800 - val_loss: 0.5804 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.5823 - categorical_accuracy: 0.8653 - val_loss: 0.4704 - val_categorical_accuracy: 0.8908 - 420ms/epoch - 9ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9720 - val_loss: 0.5164 - val_categorical_accuracy: 0.8875 - 420ms/epoch - 9ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9776 - val_loss: 0.4837 - val_categorical_accuracy: 0.9009 - 404ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9798 - val_loss: 0.4919 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9797 - val_loss: 0.4999 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9794 - val_loss: 0.5078 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.5182 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9789 - val_loss: 0.5403 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9780 - val_loss: 0.5268 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9807 - val_loss: 0.5273 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9806 - val_loss: 0.5157 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9804 - val_loss: 0.5338 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9804 - val_loss: 0.5263 - val_categorical_accuracy: 0.8987 - 394ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9789 - val_loss: 0.5225 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9808 - val_loss: 0.5253 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9801 - val_loss: 0.5313 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9804 - val_loss: 0.5606 - val_categorical_accuracy: 0.8934 - 420ms/epoch - 9ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.2272 - categorical_accuracy: 0.9470 - val_loss: 0.5585 - val_categorical_accuracy: 0.8477 - 394ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 1s - loss: 0.0933 - categorical_accuracy: 0.9667 - val_loss: 0.4728 - val_categorical_accuracy: 0.9020 - 560ms/epoch - 11ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9804 - val_loss: 0.4977 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9803 - val_loss: 0.5019 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.5933 - val_categorical_accuracy: 0.8825 - 440ms/epoch - 9ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9755 - val_loss: 0.5468 - val_categorical_accuracy: 0.8952 - 430ms/epoch - 9ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9791 - val_loss: 0.5458 - val_categorical_accuracy: 0.8943 - 400ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9795 - val_loss: 0.5255 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9800 - val_loss: 0.5766 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9793 - val_loss: 0.5315 - val_categorical_accuracy: 0.9003 - 384ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9789 - val_loss: 0.5320 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9807 - val_loss: 0.5532 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.5610 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9725 - val_loss: 0.5258 - val_categorical_accuracy: 0.9022 - 410ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5481 - val_categorical_accuracy: 0.8999 - 430ms/epoch - 9ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.5544 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9798 - val_loss: 0.5533 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9810 - val_loss: 0.5647 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.2370 - categorical_accuracy: 0.9436 - val_loss: 0.4974 - val_categorical_accuracy: 0.8912 - 390ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9775 - val_loss: 0.4998 - val_categorical_accuracy: 0.9021 - 405ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9804 - val_loss: 0.5346 - val_categorical_accuracy: 0.8971 - 430ms/epoch - 9ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9805 - val_loss: 0.5387 - val_categorical_accuracy: 0.8970 - 420ms/epoch - 9ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9787 - val_loss: 0.6117 - val_categorical_accuracy: 0.8847 - 400ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.1754 - categorical_accuracy: 0.9515 - val_loss: 0.5243 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9797 - val_loss: 0.5051 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9811 - val_loss: 0.5138 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9797 - val_loss: 0.5124 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9806 - val_loss: 0.5218 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9787 - val_loss: 0.5385 - val_categorical_accuracy: 0.9002 - 430ms/epoch - 9ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9807 - val_loss: 0.5739 - val_categorical_accuracy: 0.8859 - 410ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9792 - val_loss: 0.5401 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9784 - val_loss: 0.5447 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9797 - val_loss: 0.5337 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9793 - val_loss: 0.5429 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9793 - val_loss: 0.5815 - val_categorical_accuracy: 0.8946 - 400ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9780 - val_loss: 0.6224 - val_categorical_accuracy: 0.8809 - 420ms/epoch - 9ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.2249 - categorical_accuracy: 0.9423 - val_loss: 0.4969 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9799 - val_loss: 0.5196 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9806 - val_loss: 0.5182 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9761 - val_loss: 0.5186 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9809 - val_loss: 0.5323 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9804 - val_loss: 0.5353 - val_categorical_accuracy: 0.8987 - 420ms/epoch - 9ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9803 - val_loss: 0.5292 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5242 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9802 - val_loss: 0.5668 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.1617 - categorical_accuracy: 0.9535 - val_loss: 0.5242 - val_categorical_accuracy: 0.8944 - 410ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5321 - val_categorical_accuracy: 0.9001 - 420ms/epoch - 9ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5649 - val_categorical_accuracy: 0.8921 - 420ms/epoch - 9ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9802 - val_loss: 0.5554 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5521 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.5379 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9812 - val_loss: 0.5297 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9809 - val_loss: 0.5662 - val_categorical_accuracy: 0.8964 - 400ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9798 - val_loss: 0.5872 - val_categorical_accuracy: 0.8878 - 410ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9496 - val_loss: 0.5156 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.5498 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9803 - val_loss: 0.5183 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9815 - val_loss: 0.5311 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9805 - val_loss: 0.5405 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9800 - val_loss: 0.5586 - val_categorical_accuracy: 0.8987 - 410ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9810 - val_loss: 0.5549 - val_categorical_accuracy: 0.8967 - 430ms/epoch - 9ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9797 - val_loss: 0.5510 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9799 - val_loss: 0.5576 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9810 - val_loss: 0.5598 - val_categorical_accuracy: 0.8953 - 390ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9811 - val_loss: 0.5373 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9799 - val_loss: 0.5992 - val_categorical_accuracy: 0.8898 - 390ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9766 - val_loss: 0.5486 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.1658 - categorical_accuracy: 0.9545 - val_loss: 0.5166 - val_categorical_accuracy: 0.8841 - 390ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9764 - val_loss: 0.5274 - val_categorical_accuracy: 0.8978 - 410ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9803 - val_loss: 0.5351 - val_categorical_accuracy: 0.8993 - 430ms/epoch - 9ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9803 - val_loss: 0.5710 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9787 - val_loss: 0.5390 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9814 - val_loss: 0.5461 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9814 - val_loss: 0.5535 - val_categorical_accuracy: 0.8978 - 390ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9812 - val_loss: 0.5845 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9798 - val_loss: 0.5637 - val_categorical_accuracy: 0.8977 - 410ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9804 - val_loss: 0.6037 - val_categorical_accuracy: 0.8880 - 430ms/epoch - 9ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.5803 - val_categorical_accuracy: 0.8949 - 420ms/epoch - 9ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9772 - val_loss: 0.5461 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9806 - val_loss: 0.5522 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9809 - val_loss: 0.5902 - val_categorical_accuracy: 0.8924 - 390ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.2150 - categorical_accuracy: 0.9448 - val_loss: 0.5181 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9797 - val_loss: 0.5303 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9794 - val_loss: 0.5323 - val_categorical_accuracy: 0.9006 - 410ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9804 - val_loss: 0.5383 - val_categorical_accuracy: 0.9022 - 430ms/epoch - 9ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9818 - val_loss: 0.5323 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9808 - val_loss: 0.5476 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9709 - val_loss: 0.5355 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9802 - val_loss: 0.5497 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9805 - val_loss: 0.5504 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9807 - val_loss: 0.5465 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9812 - val_loss: 0.5516 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9783 - val_loss: 0.5779 - val_categorical_accuracy: 0.8897 - 430ms/epoch - 9ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9795 - val_loss: 0.6013 - val_categorical_accuracy: 0.8930 - 420ms/epoch - 9ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9787 - val_loss: 0.5613 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9779 - val_loss: 0.5549 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9797 - val_loss: 0.5582 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9784 - val_loss: 0.5569 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.6098 - val_categorical_accuracy: 0.8860 - 390ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.2325 - categorical_accuracy: 0.9421 - val_loss: 0.5271 - val_categorical_accuracy: 0.8990 - 414ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9807 - val_loss: 0.5622 - val_categorical_accuracy: 0.8948 - 460ms/epoch - 9ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9799 - val_loss: 0.5236 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9820 - val_loss: 0.5340 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9804 - val_loss: 0.5358 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9809 - val_loss: 0.5633 - val_categorical_accuracy: 0.8982 - 394ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9811 - val_loss: 0.5560 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9806 - val_loss: 0.5536 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9811 - val_loss: 0.6102 - val_categorical_accuracy: 0.8877 - 390ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9789 - val_loss: 0.5681 - val_categorical_accuracy: 0.9017 - 410ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9801 - val_loss: 0.5687 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.2056 - categorical_accuracy: 0.9462 - val_loss: 0.5343 - val_categorical_accuracy: 0.8944 - 420ms/epoch - 9ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9801 - val_loss: 0.5569 - val_categorical_accuracy: 0.8933 - 390ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9807 - val_loss: 0.5305 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9817 - val_loss: 0.5368 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5338 - val_categorical_accuracy: 0.9024 - 394ms/epoch - 8ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9820 - val_loss: 0.5832 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9800 - val_loss: 0.5811 - val_categorical_accuracy: 0.8950 - 400ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9725 - val_loss: 0.5554 - val_categorical_accuracy: 0.8977 - 420ms/epoch - 9ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9797 - val_loss: 0.6385 - val_categorical_accuracy: 0.8778 - 400ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9783 - val_loss: 0.5479 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5607 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9812 - val_loss: 0.5851 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9810 - val_loss: 0.5910 - val_categorical_accuracy: 0.8935 - 388ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.1232 - categorical_accuracy: 0.9660 - val_loss: 0.8804 - val_categorical_accuracy: 0.8315 - 390ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9729 - val_loss: 0.5438 - val_categorical_accuracy: 0.8960 - 410ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5569 - val_categorical_accuracy: 0.8959 - 420ms/epoch - 9ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9804 - val_loss: 0.5695 - val_categorical_accuracy: 0.8959 - 430ms/epoch - 9ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9813 - val_loss: 0.5600 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9809 - val_loss: 0.5962 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9797 - val_loss: 0.5543 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9811 - val_loss: 0.5698 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5581 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5604 - val_categorical_accuracy: 0.9019 - 410ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9815 - val_loss: 0.5735 - val_categorical_accuracy: 0.8982 - 430ms/epoch - 9ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.6198 - val_categorical_accuracy: 0.8827 - 390ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.2460 - categorical_accuracy: 0.9390 - val_loss: 0.4880 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9805 - val_loss: 0.5158 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9810 - val_loss: 0.5716 - val_categorical_accuracy: 0.8878 - 390ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9806 - val_loss: 0.5438 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9806 - val_loss: 0.5520 - val_categorical_accuracy: 0.8988 - 410ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9793 - val_loss: 0.7517 - val_categorical_accuracy: 0.8579 - 420ms/epoch - 9ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.1550 - categorical_accuracy: 0.9578 - val_loss: 0.5418 - val_categorical_accuracy: 0.8964 - 430ms/epoch - 9ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9800 - val_loss: 0.5455 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9805 - val_loss: 0.5765 - val_categorical_accuracy: 0.8922 - 390ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.6220 - val_categorical_accuracy: 0.8832 - 384ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.5824 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9789 - val_loss: 0.5636 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9797 - val_loss: 0.5420 - val_categorical_accuracy: 0.9016 - 420ms/epoch - 9ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.5649 - val_categorical_accuracy: 0.8998 - 420ms/epoch - 9ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9820 - val_loss: 0.6451 - val_categorical_accuracy: 0.8840 - 390ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.1823 - categorical_accuracy: 0.9535 - val_loss: 0.5041 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9819 - val_loss: 0.5388 - val_categorical_accuracy: 0.8963 - 390ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9808 - val_loss: 0.5256 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9823 - val_loss: 0.5639 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9809 - val_loss: 0.5534 - val_categorical_accuracy: 0.8988 - 410ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9804 - val_loss: 0.6149 - val_categorical_accuracy: 0.8838 - 450ms/epoch - 9ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9804 - val_loss: 0.5891 - val_categorical_accuracy: 0.8938 - 420ms/epoch - 9ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9808 - val_loss: 0.5531 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5573 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9808 - val_loss: 0.5871 - val_categorical_accuracy: 0.8919 - 390ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9789 - val_loss: 0.5557 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9806 - val_loss: 0.5753 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9816 - val_loss: 0.5586 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9803 - val_loss: 0.5575 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9806 - val_loss: 0.5645 - val_categorical_accuracy: 0.9027 - 410ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.2209 - categorical_accuracy: 0.9418 - val_loss: 0.5485 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9798 - val_loss: 0.5346 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0495 - categorical_accuracy: 0.9820 - val_loss: 0.5414 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9815 - val_loss: 0.5896 - val_categorical_accuracy: 0.8923 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9798 - val_loss: 0.5367 - val_categorical_accuracy: 0.9066 - 420ms/epoch - 9ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9818 - val_loss: 0.5409 - val_categorical_accuracy: 0.9022 - 440ms/epoch - 9ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9825 - val_loss: 0.5885 - val_categorical_accuracy: 0.8981 - 430ms/epoch - 9ms/step
processing fold # 8 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0000s vs `on_train_batch_end` time: 0.0050s). Check your callbacks.

49/49 - 1s - loss: 1.9261 - categorical_accuracy: 0.3492 - val_loss: 1.8713 - val_categorical_accuracy: 0.3650 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8534 - categorical_accuracy: 0.3635 - val_loss: 1.8256 - val_categorical_accuracy: 0.3650 - 400ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8021 - categorical_accuracy: 0.3640 - val_loss: 1.7932 - val_categorical_accuracy: 0.3650 - 400ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7553 - categorical_accuracy: 0.3934 - val_loss: 1.7447 - val_categorical_accuracy: 0.4401 - 400ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.6838 - categorical_accuracy: 0.4291 - val_loss: 1.6039 - val_categorical_accuracy: 0.4569 - 410ms/epoch - 8ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.6117 - categorical_accuracy: 0.4473 - val_loss: 1.5562 - val_categorical_accuracy: 0.4634 - 394ms/epoch - 8ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5236 - categorical_accuracy: 0.4786 - val_loss: 1.6510 - val_categorical_accuracy: 0.4165 - 390ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4640 - categorical_accuracy: 0.5008 - val_loss: 1.3698 - val_categorical_accuracy: 0.5316 - 400ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.3997 - categorical_accuracy: 0.5195 - val_loss: 1.3667 - val_categorical_accuracy: 0.5297 - 400ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3686 - categorical_accuracy: 0.5285 - val_loss: 1.3998 - val_categorical_accuracy: 0.5062 - 400ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3039 - categorical_accuracy: 0.5485 - val_loss: 1.5414 - val_categorical_accuracy: 0.4745 - 400ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2893 - categorical_accuracy: 0.5492 - val_loss: 1.2550 - val_categorical_accuracy: 0.5561 - 400ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2430 - categorical_accuracy: 0.5628 - val_loss: 1.1923 - val_categorical_accuracy: 0.5711 - 400ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2396 - categorical_accuracy: 0.5601 - val_loss: 1.1871 - val_categorical_accuracy: 0.5821 - 400ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1775 - categorical_accuracy: 0.5782 - val_loss: 1.1478 - val_categorical_accuracy: 0.5965 - 400ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1824 - categorical_accuracy: 0.5753 - val_loss: 1.1158 - val_categorical_accuracy: 0.5991 - 394ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1396 - categorical_accuracy: 0.5888 - val_loss: 1.0947 - val_categorical_accuracy: 0.6028 - 410ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1243 - categorical_accuracy: 0.5933 - val_loss: 1.0767 - val_categorical_accuracy: 0.6192 - 430ms/epoch - 9ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0745 - categorical_accuracy: 0.6106 - val_loss: 1.0688 - val_categorical_accuracy: 0.5997 - 400ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0673 - categorical_accuracy: 0.6118 - val_loss: 1.0656 - val_categorical_accuracy: 0.6169 - 400ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0623 - categorical_accuracy: 0.6166 - val_loss: 1.0189 - val_categorical_accuracy: 0.6345 - 390ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0178 - categorical_accuracy: 0.6308 - val_loss: 1.0622 - val_categorical_accuracy: 0.6150 - 400ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 1.0244 - categorical_accuracy: 0.6312 - val_loss: 0.9860 - val_categorical_accuracy: 0.6353 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 0.9722 - categorical_accuracy: 0.6451 - val_loss: 0.9933 - val_categorical_accuracy: 0.6481 - 394ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9722 - categorical_accuracy: 0.6461 - val_loss: 1.2618 - val_categorical_accuracy: 0.5797 - 390ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9603 - categorical_accuracy: 0.6528 - val_loss: 1.2105 - val_categorical_accuracy: 0.5526 - 400ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9467 - categorical_accuracy: 0.6566 - val_loss: 0.9577 - val_categorical_accuracy: 0.6565 - 400ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9039 - categorical_accuracy: 0.6710 - val_loss: 0.8995 - val_categorical_accuracy: 0.6769 - 400ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.8980 - categorical_accuracy: 0.6719 - val_loss: 2.0465 - val_categorical_accuracy: 0.4029 - 420ms/epoch - 9ms/step
Epoch 30/1500
49/49 - 0s - loss: 1.0697 - categorical_accuracy: 0.6328 - val_loss: 0.8494 - val_categorical_accuracy: 0.6878 - 400ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.8615 - categorical_accuracy: 0.6838 - val_loss: 0.8515 - val_categorical_accuracy: 0.6847 - 394ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8580 - categorical_accuracy: 0.6864 - val_loss: 0.8573 - val_categorical_accuracy: 0.6813 - 400ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8334 - categorical_accuracy: 0.6918 - val_loss: 0.8494 - val_categorical_accuracy: 0.6817 - 390ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8963 - categorical_accuracy: 0.6784 - val_loss: 0.8762 - val_categorical_accuracy: 0.6761 - 390ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8354 - categorical_accuracy: 0.6932 - val_loss: 0.8037 - val_categorical_accuracy: 0.7049 - 400ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.7943 - categorical_accuracy: 0.7056 - val_loss: 0.8214 - val_categorical_accuracy: 0.6936 - 400ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8040 - categorical_accuracy: 0.6990 - val_loss: 0.9131 - val_categorical_accuracy: 0.6603 - 420ms/epoch - 9ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7868 - categorical_accuracy: 0.7083 - val_loss: 0.8046 - val_categorical_accuracy: 0.6951 - 400ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.7889 - categorical_accuracy: 0.7067 - val_loss: 0.7608 - val_categorical_accuracy: 0.7142 - 400ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 1.0472 - categorical_accuracy: 0.6512 - val_loss: 0.8331 - val_categorical_accuracy: 0.6900 - 400ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7644 - categorical_accuracy: 0.7143 - val_loss: 0.7337 - val_categorical_accuracy: 0.7251 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7375 - categorical_accuracy: 0.7237 - val_loss: 0.7378 - val_categorical_accuracy: 0.7203 - 410ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7439 - categorical_accuracy: 0.7202 - val_loss: 0.7652 - val_categorical_accuracy: 0.7235 - 400ms/epoch - 8ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7337 - categorical_accuracy: 0.7246 - val_loss: 0.8409 - val_categorical_accuracy: 0.6816 - 400ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7884 - categorical_accuracy: 0.7106 - val_loss: 0.7445 - val_categorical_accuracy: 0.7191 - 390ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7238 - categorical_accuracy: 0.7279 - val_loss: 0.8260 - val_categorical_accuracy: 0.6964 - 390ms/epoch - 8ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7098 - categorical_accuracy: 0.7331 - val_loss: 0.8002 - val_categorical_accuracy: 0.7068 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7011 - categorical_accuracy: 0.7362 - val_loss: 0.8195 - val_categorical_accuracy: 0.6975 - 400ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.7137 - categorical_accuracy: 0.7343 - val_loss: 0.6787 - val_categorical_accuracy: 0.7457 - 400ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.6990 - categorical_accuracy: 0.7380 - val_loss: 0.6678 - val_categorical_accuracy: 0.7507 - 400ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6776 - categorical_accuracy: 0.7435 - val_loss: 0.7862 - val_categorical_accuracy: 0.7298 - 430ms/epoch - 9ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.6745 - categorical_accuracy: 0.7460 - val_loss: 0.6988 - val_categorical_accuracy: 0.7388 - 410ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6774 - categorical_accuracy: 0.7490 - val_loss: 0.6739 - val_categorical_accuracy: 0.7499 - 390ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.8204 - categorical_accuracy: 0.7079 - val_loss: 0.6569 - val_categorical_accuracy: 0.7548 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 1s - loss: 0.6484 - categorical_accuracy: 0.7556 - val_loss: 0.6967 - val_categorical_accuracy: 0.7371 - 571ms/epoch - 12ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6507 - categorical_accuracy: 0.7549 - val_loss: 0.6879 - val_categorical_accuracy: 0.7446 - 400ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6634 - categorical_accuracy: 0.7553 - val_loss: 0.6541 - val_categorical_accuracy: 0.7541 - 400ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6397 - categorical_accuracy: 0.7592 - val_loss: 0.7213 - val_categorical_accuracy: 0.7252 - 400ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6385 - categorical_accuracy: 0.7605 - val_loss: 0.7566 - val_categorical_accuracy: 0.7193 - 400ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.6410 - categorical_accuracy: 0.7593 - val_loss: 0.6398 - val_categorical_accuracy: 0.7651 - 430ms/epoch - 9ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6191 - categorical_accuracy: 0.7673 - val_loss: 0.7805 - val_categorical_accuracy: 0.6920 - 400ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6695 - categorical_accuracy: 0.7503 - val_loss: 0.6946 - val_categorical_accuracy: 0.7356 - 400ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6058 - categorical_accuracy: 0.7723 - val_loss: 0.6275 - val_categorical_accuracy: 0.7638 - 400ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6064 - categorical_accuracy: 0.7702 - val_loss: 0.6864 - val_categorical_accuracy: 0.7476 - 400ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.7105 - categorical_accuracy: 0.7421 - val_loss: 0.6830 - val_categorical_accuracy: 0.7400 - 400ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.5883 - categorical_accuracy: 0.7787 - val_loss: 0.6781 - val_categorical_accuracy: 0.7478 - 400ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.6015 - categorical_accuracy: 0.7744 - val_loss: 0.6248 - val_categorical_accuracy: 0.7675 - 400ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.6247 - categorical_accuracy: 0.7681 - val_loss: 0.5998 - val_categorical_accuracy: 0.7774 - 400ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.5777 - categorical_accuracy: 0.7826 - val_loss: 0.5923 - val_categorical_accuracy: 0.7852 - 400ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.7335 - categorical_accuracy: 0.7439 - val_loss: 0.6092 - val_categorical_accuracy: 0.7817 - 395ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5630 - categorical_accuracy: 0.7893 - val_loss: 0.5887 - val_categorical_accuracy: 0.7796 - 400ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5774 - categorical_accuracy: 0.7834 - val_loss: 0.6419 - val_categorical_accuracy: 0.7599 - 400ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5693 - categorical_accuracy: 0.7854 - val_loss: 0.5560 - val_categorical_accuracy: 0.7947 - 400ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5633 - categorical_accuracy: 0.7876 - val_loss: 0.5859 - val_categorical_accuracy: 0.7831 - 390ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5790 - categorical_accuracy: 0.7850 - val_loss: 0.5898 - val_categorical_accuracy: 0.7834 - 410ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5593 - categorical_accuracy: 0.7908 - val_loss: 0.5812 - val_categorical_accuracy: 0.7869 - 400ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5766 - categorical_accuracy: 0.7861 - val_loss: 0.5395 - val_categorical_accuracy: 0.8025 - 400ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5507 - categorical_accuracy: 0.7929 - val_loss: 0.6012 - val_categorical_accuracy: 0.7811 - 400ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5726 - categorical_accuracy: 0.7897 - val_loss: 0.5752 - val_categorical_accuracy: 0.7844 - 400ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5406 - categorical_accuracy: 0.7978 - val_loss: 0.5784 - val_categorical_accuracy: 0.7850 - 400ms/epoch - 8ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5418 - categorical_accuracy: 0.7965 - val_loss: 0.5540 - val_categorical_accuracy: 0.7942 - 400ms/epoch - 8ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5351 - categorical_accuracy: 0.7981 - val_loss: 0.5569 - val_categorical_accuracy: 0.7909 - 400ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5472 - categorical_accuracy: 0.7958 - val_loss: 0.6704 - val_categorical_accuracy: 0.7518 - 410ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.6686 - categorical_accuracy: 0.7624 - val_loss: 0.5785 - val_categorical_accuracy: 0.7843 - 400ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5225 - categorical_accuracy: 0.8044 - val_loss: 0.6250 - val_categorical_accuracy: 0.7643 - 395ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5117 - categorical_accuracy: 0.8077 - val_loss: 0.5236 - val_categorical_accuracy: 0.8084 - 400ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5196 - categorical_accuracy: 0.8051 - val_loss: 0.5900 - val_categorical_accuracy: 0.7834 - 400ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5527 - categorical_accuracy: 0.7993 - val_loss: 0.5325 - val_categorical_accuracy: 0.8046 - 400ms/epoch - 8ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5169 - categorical_accuracy: 0.8047 - val_loss: 0.5854 - val_categorical_accuracy: 0.7889 - 400ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.4995 - categorical_accuracy: 0.8131 - val_loss: 0.5571 - val_categorical_accuracy: 0.7928 - 400ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5064 - categorical_accuracy: 0.8111 - val_loss: 0.5213 - val_categorical_accuracy: 0.8082 - 400ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5084 - categorical_accuracy: 0.8100 - val_loss: 0.5824 - val_categorical_accuracy: 0.7797 - 396ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.5033 - categorical_accuracy: 0.8126 - val_loss: 0.5499 - val_categorical_accuracy: 0.7977 - 390ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4903 - categorical_accuracy: 0.8167 - val_loss: 0.6173 - val_categorical_accuracy: 0.7601 - 400ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4960 - categorical_accuracy: 0.8140 - val_loss: 0.6282 - val_categorical_accuracy: 0.7688 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.9734 - categorical_accuracy: 0.7015 - val_loss: 0.5366 - val_categorical_accuracy: 0.8036 - 400ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4935 - categorical_accuracy: 0.8172 - val_loss: 0.5039 - val_categorical_accuracy: 0.8158 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4765 - categorical_accuracy: 0.8204 - val_loss: 0.5859 - val_categorical_accuracy: 0.7774 - 398ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4918 - categorical_accuracy: 0.8168 - val_loss: 0.5826 - val_categorical_accuracy: 0.7807 - 396ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4742 - categorical_accuracy: 0.8223 - val_loss: 0.5375 - val_categorical_accuracy: 0.8004 - 424ms/epoch - 9ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4712 - categorical_accuracy: 0.8227 - val_loss: 0.5673 - val_categorical_accuracy: 0.7872 - 390ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4884 - categorical_accuracy: 0.8175 - val_loss: 0.5250 - val_categorical_accuracy: 0.7994 - 400ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4696 - categorical_accuracy: 0.8219 - val_loss: 0.5232 - val_categorical_accuracy: 0.8040 - 390ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4684 - categorical_accuracy: 0.8245 - val_loss: 0.5282 - val_categorical_accuracy: 0.8094 - 400ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4984 - categorical_accuracy: 0.8178 - val_loss: 1.2373 - val_categorical_accuracy: 0.5696 - 390ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.5236 - categorical_accuracy: 0.8110 - val_loss: 0.5284 - val_categorical_accuracy: 0.8029 - 410ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4615 - categorical_accuracy: 0.8293 - val_loss: 0.6184 - val_categorical_accuracy: 0.7600 - 420ms/epoch - 9ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4575 - categorical_accuracy: 0.8293 - val_loss: 0.5127 - val_categorical_accuracy: 0.8165 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4611 - categorical_accuracy: 0.8294 - val_loss: 0.4838 - val_categorical_accuracy: 0.8240 - 400ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4454 - categorical_accuracy: 0.8344 - val_loss: 0.5012 - val_categorical_accuracy: 0.8199 - 394ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4571 - categorical_accuracy: 0.8285 - val_loss: 0.4754 - val_categorical_accuracy: 0.8216 - 405ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4558 - categorical_accuracy: 0.8308 - val_loss: 0.4557 - val_categorical_accuracy: 0.8307 - 390ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4325 - categorical_accuracy: 0.8398 - val_loss: 0.5270 - val_categorical_accuracy: 0.8107 - 400ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.5023 - categorical_accuracy: 0.8196 - val_loss: 0.4833 - val_categorical_accuracy: 0.8206 - 410ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4394 - categorical_accuracy: 0.8374 - val_loss: 0.5927 - val_categorical_accuracy: 0.7741 - 420ms/epoch - 9ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4429 - categorical_accuracy: 0.8354 - val_loss: 0.4715 - val_categorical_accuracy: 0.8259 - 390ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4253 - categorical_accuracy: 0.8401 - val_loss: 0.4705 - val_categorical_accuracy: 0.8279 - 390ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4419 - categorical_accuracy: 0.8350 - val_loss: 0.5504 - val_categorical_accuracy: 0.7900 - 390ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4408 - categorical_accuracy: 0.8343 - val_loss: 0.4898 - val_categorical_accuracy: 0.8222 - 400ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4356 - categorical_accuracy: 0.8378 - val_loss: 0.4883 - val_categorical_accuracy: 0.8218 - 390ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4168 - categorical_accuracy: 0.8458 - val_loss: 0.4923 - val_categorical_accuracy: 0.8128 - 400ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4733 - categorical_accuracy: 0.8279 - val_loss: 0.4682 - val_categorical_accuracy: 0.8295 - 410ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4224 - categorical_accuracy: 0.8419 - val_loss: 0.4934 - val_categorical_accuracy: 0.8219 - 430ms/epoch - 9ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4174 - categorical_accuracy: 0.8453 - val_loss: 0.4550 - val_categorical_accuracy: 0.8342 - 400ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4566 - categorical_accuracy: 0.8347 - val_loss: 0.5036 - val_categorical_accuracy: 0.8135 - 400ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4341 - categorical_accuracy: 0.8392 - val_loss: 0.4829 - val_categorical_accuracy: 0.8228 - 400ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4024 - categorical_accuracy: 0.8516 - val_loss: 0.4594 - val_categorical_accuracy: 0.8315 - 390ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4221 - categorical_accuracy: 0.8423 - val_loss: 0.4368 - val_categorical_accuracy: 0.8388 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4027 - categorical_accuracy: 0.8509 - val_loss: 0.4365 - val_categorical_accuracy: 0.8462 - 390ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.3998 - categorical_accuracy: 0.8519 - val_loss: 0.4529 - val_categorical_accuracy: 0.8325 - 400ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4214 - categorical_accuracy: 0.8462 - val_loss: 0.4401 - val_categorical_accuracy: 0.8440 - 390ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.4060 - categorical_accuracy: 0.8498 - val_loss: 0.4907 - val_categorical_accuracy: 0.8193 - 400ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4181 - categorical_accuracy: 0.8445 - val_loss: 0.4443 - val_categorical_accuracy: 0.8416 - 400ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4558 - categorical_accuracy: 0.8390 - val_loss: 0.4349 - val_categorical_accuracy: 0.8458 - 400ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3848 - categorical_accuracy: 0.8582 - val_loss: 0.4962 - val_categorical_accuracy: 0.8153 - 424ms/epoch - 9ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.3949 - categorical_accuracy: 0.8526 - val_loss: 0.4439 - val_categorical_accuracy: 0.8357 - 400ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.3986 - categorical_accuracy: 0.8524 - val_loss: 0.5052 - val_categorical_accuracy: 0.8086 - 400ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.3884 - categorical_accuracy: 0.8550 - val_loss: 0.4538 - val_categorical_accuracy: 0.8340 - 400ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.3902 - categorical_accuracy: 0.8537 - val_loss: 0.5317 - val_categorical_accuracy: 0.8076 - 400ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.3949 - categorical_accuracy: 0.8534 - val_loss: 0.4729 - val_categorical_accuracy: 0.8288 - 390ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.4932 - categorical_accuracy: 0.8300 - val_loss: 0.4160 - val_categorical_accuracy: 0.8484 - 400ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3792 - categorical_accuracy: 0.8595 - val_loss: 0.4677 - val_categorical_accuracy: 0.8272 - 390ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3860 - categorical_accuracy: 0.8597 - val_loss: 0.4360 - val_categorical_accuracy: 0.8386 - 390ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3740 - categorical_accuracy: 0.8614 - val_loss: 0.4806 - val_categorical_accuracy: 0.8261 - 400ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3846 - categorical_accuracy: 0.8567 - val_loss: 0.4290 - val_categorical_accuracy: 0.8454 - 410ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.4257 - categorical_accuracy: 0.8506 - val_loss: 0.4559 - val_categorical_accuracy: 0.8305 - 430ms/epoch - 9ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3688 - categorical_accuracy: 0.8635 - val_loss: 0.4375 - val_categorical_accuracy: 0.8411 - 400ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.3781 - categorical_accuracy: 0.8586 - val_loss: 0.4158 - val_categorical_accuracy: 0.8487 - 390ms/epoch - 8ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3752 - categorical_accuracy: 0.8612 - val_loss: 0.4970 - val_categorical_accuracy: 0.8196 - 400ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3662 - categorical_accuracy: 0.8656 - val_loss: 0.4303 - val_categorical_accuracy: 0.8415 - 394ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3702 - categorical_accuracy: 0.8613 - val_loss: 0.5497 - val_categorical_accuracy: 0.7967 - 390ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3673 - categorical_accuracy: 0.8637 - val_loss: 0.4596 - val_categorical_accuracy: 0.8360 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3648 - categorical_accuracy: 0.8643 - val_loss: 0.4176 - val_categorical_accuracy: 0.8496 - 400ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3738 - categorical_accuracy: 0.8625 - val_loss: 0.4263 - val_categorical_accuracy: 0.8462 - 400ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3603 - categorical_accuracy: 0.8660 - val_loss: 0.5077 - val_categorical_accuracy: 0.8143 - 400ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.6323 - categorical_accuracy: 0.8025 - val_loss: 0.4126 - val_categorical_accuracy: 0.8499 - 400ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3342 - categorical_accuracy: 0.8793 - val_loss: 0.4519 - val_categorical_accuracy: 0.8403 - 400ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3585 - categorical_accuracy: 0.8679 - val_loss: 0.4861 - val_categorical_accuracy: 0.8226 - 400ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3894 - categorical_accuracy: 0.8596 - val_loss: 0.4032 - val_categorical_accuracy: 0.8544 - 400ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3606 - categorical_accuracy: 0.8681 - val_loss: 0.4631 - val_categorical_accuracy: 0.8274 - 400ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3525 - categorical_accuracy: 0.8698 - val_loss: 0.4065 - val_categorical_accuracy: 0.8563 - 400ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3607 - categorical_accuracy: 0.8666 - val_loss: 0.4015 - val_categorical_accuracy: 0.8573 - 400ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3478 - categorical_accuracy: 0.8720 - val_loss: 0.4122 - val_categorical_accuracy: 0.8526 - 400ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3422 - categorical_accuracy: 0.8729 - val_loss: 0.4494 - val_categorical_accuracy: 0.8353 - 400ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3483 - categorical_accuracy: 0.8719 - val_loss: 0.4197 - val_categorical_accuracy: 0.8479 - 404ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3460 - categorical_accuracy: 0.8738 - val_loss: 0.3863 - val_categorical_accuracy: 0.8638 - 400ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3480 - categorical_accuracy: 0.8731 - val_loss: 0.4239 - val_categorical_accuracy: 0.8454 - 400ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3317 - categorical_accuracy: 0.8781 - val_loss: 0.4574 - val_categorical_accuracy: 0.8350 - 400ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.4837 - categorical_accuracy: 0.8393 - val_loss: 0.4140 - val_categorical_accuracy: 0.8494 - 400ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3311 - categorical_accuracy: 0.8796 - val_loss: 0.4040 - val_categorical_accuracy: 0.8550 - 404ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3265 - categorical_accuracy: 0.8793 - val_loss: 0.4262 - val_categorical_accuracy: 0.8498 - 400ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3486 - categorical_accuracy: 0.8710 - val_loss: 0.4074 - val_categorical_accuracy: 0.8564 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3241 - categorical_accuracy: 0.8803 - val_loss: 0.4085 - val_categorical_accuracy: 0.8532 - 394ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3515 - categorical_accuracy: 0.8750 - val_loss: 0.4403 - val_categorical_accuracy: 0.8430 - 396ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3280 - categorical_accuracy: 0.8786 - val_loss: 0.4498 - val_categorical_accuracy: 0.8402 - 400ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3244 - categorical_accuracy: 0.8806 - val_loss: 0.3979 - val_categorical_accuracy: 0.8611 - 400ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3376 - categorical_accuracy: 0.8751 - val_loss: 0.4961 - val_categorical_accuracy: 0.8143 - 400ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3410 - categorical_accuracy: 0.8738 - val_loss: 0.8265 - val_categorical_accuracy: 0.7225 - 400ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3321 - categorical_accuracy: 0.8821 - val_loss: 0.3782 - val_categorical_accuracy: 0.8663 - 400ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3165 - categorical_accuracy: 0.8841 - val_loss: 0.3692 - val_categorical_accuracy: 0.8696 - 400ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3281 - categorical_accuracy: 0.8791 - val_loss: 0.5435 - val_categorical_accuracy: 0.8189 - 400ms/epoch - 8ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.4084 - categorical_accuracy: 0.8640 - val_loss: 0.3871 - val_categorical_accuracy: 0.8624 - 400ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3371 - categorical_accuracy: 0.8757 - val_loss: 0.3789 - val_categorical_accuracy: 0.8653 - 400ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3067 - categorical_accuracy: 0.8887 - val_loss: 0.4790 - val_categorical_accuracy: 0.8230 - 400ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3159 - categorical_accuracy: 0.8849 - val_loss: 0.5042 - val_categorical_accuracy: 0.8183 - 400ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3109 - categorical_accuracy: 0.8860 - val_loss: 0.4958 - val_categorical_accuracy: 0.8147 - 400ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3084 - categorical_accuracy: 0.8878 - val_loss: 0.4274 - val_categorical_accuracy: 0.8477 - 400ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3170 - categorical_accuracy: 0.8837 - val_loss: 0.4645 - val_categorical_accuracy: 0.8321 - 400ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3245 - categorical_accuracy: 0.8794 - val_loss: 0.6778 - val_categorical_accuracy: 0.7805 - 400ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3273 - categorical_accuracy: 0.8828 - val_loss: 0.4171 - val_categorical_accuracy: 0.8504 - 400ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3501 - categorical_accuracy: 0.8757 - val_loss: 0.3678 - val_categorical_accuracy: 0.8695 - 400ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.2865 - categorical_accuracy: 0.8967 - val_loss: 0.5750 - val_categorical_accuracy: 0.8193 - 410ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.3235 - categorical_accuracy: 0.8802 - val_loss: 0.4893 - val_categorical_accuracy: 0.8176 - 400ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3015 - categorical_accuracy: 0.8896 - val_loss: 0.4652 - val_categorical_accuracy: 0.8267 - 390ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3055 - categorical_accuracy: 0.8870 - val_loss: 0.4526 - val_categorical_accuracy: 0.8412 - 404ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.2997 - categorical_accuracy: 0.8916 - val_loss: 0.3722 - val_categorical_accuracy: 0.8716 - 400ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.2962 - categorical_accuracy: 0.8920 - val_loss: 0.4459 - val_categorical_accuracy: 0.8425 - 400ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.3093 - categorical_accuracy: 0.8863 - val_loss: 0.3836 - val_categorical_accuracy: 0.8659 - 400ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2951 - categorical_accuracy: 0.8910 - val_loss: 0.4228 - val_categorical_accuracy: 0.8436 - 400ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.4702 - categorical_accuracy: 0.8463 - val_loss: 0.3807 - val_categorical_accuracy: 0.8655 - 394ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.2794 - categorical_accuracy: 0.9015 - val_loss: 0.3668 - val_categorical_accuracy: 0.8716 - 400ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.2848 - categorical_accuracy: 0.8964 - val_loss: 0.4316 - val_categorical_accuracy: 0.8509 - 400ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2901 - categorical_accuracy: 0.8935 - val_loss: 0.4299 - val_categorical_accuracy: 0.8474 - 400ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.3050 - categorical_accuracy: 0.8881 - val_loss: 0.3580 - val_categorical_accuracy: 0.8721 - 400ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.2863 - categorical_accuracy: 0.8951 - val_loss: 0.4403 - val_categorical_accuracy: 0.8461 - 400ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2841 - categorical_accuracy: 0.8975 - val_loss: 0.4748 - val_categorical_accuracy: 0.8227 - 400ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3493 - categorical_accuracy: 0.8809 - val_loss: 0.4328 - val_categorical_accuracy: 0.8475 - 400ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2864 - categorical_accuracy: 0.8945 - val_loss: 0.4017 - val_categorical_accuracy: 0.8563 - 400ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.3581 - categorical_accuracy: 0.8771 - val_loss: 0.3857 - val_categorical_accuracy: 0.8635 - 400ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2817 - categorical_accuracy: 0.8972 - val_loss: 0.3729 - val_categorical_accuracy: 0.8695 - 400ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2836 - categorical_accuracy: 0.8973 - val_loss: 0.4881 - val_categorical_accuracy: 0.8289 - 390ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2900 - categorical_accuracy: 0.8945 - val_loss: 0.3552 - val_categorical_accuracy: 0.8768 - 400ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2768 - categorical_accuracy: 0.8995 - val_loss: 0.3537 - val_categorical_accuracy: 0.8769 - 400ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.3085 - categorical_accuracy: 0.8886 - val_loss: 0.3990 - val_categorical_accuracy: 0.8606 - 390ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2844 - categorical_accuracy: 0.8955 - val_loss: 0.3683 - val_categorical_accuracy: 0.8709 - 394ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2810 - categorical_accuracy: 0.8991 - val_loss: 0.3627 - val_categorical_accuracy: 0.8716 - 426ms/epoch - 9ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2650 - categorical_accuracy: 0.9034 - val_loss: 0.4294 - val_categorical_accuracy: 0.8471 - 400ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2910 - categorical_accuracy: 0.8932 - val_loss: 0.3573 - val_categorical_accuracy: 0.8766 - 400ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2575 - categorical_accuracy: 0.9066 - val_loss: 0.5413 - val_categorical_accuracy: 0.8161 - 400ms/epoch - 8ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2845 - categorical_accuracy: 0.8977 - val_loss: 0.3617 - val_categorical_accuracy: 0.8732 - 400ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.3557 - categorical_accuracy: 0.8803 - val_loss: 0.3732 - val_categorical_accuracy: 0.8672 - 400ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2632 - categorical_accuracy: 0.9045 - val_loss: 0.3657 - val_categorical_accuracy: 0.8716 - 400ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9022 - val_loss: 0.4323 - val_categorical_accuracy: 0.8460 - 410ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2703 - categorical_accuracy: 0.9021 - val_loss: 0.5304 - val_categorical_accuracy: 0.8049 - 400ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2670 - categorical_accuracy: 0.9038 - val_loss: 0.4618 - val_categorical_accuracy: 0.8530 - 404ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.3904 - categorical_accuracy: 0.8688 - val_loss: 0.3877 - val_categorical_accuracy: 0.8632 - 400ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2549 - categorical_accuracy: 0.9096 - val_loss: 0.3868 - val_categorical_accuracy: 0.8672 - 390ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2610 - categorical_accuracy: 0.9056 - val_loss: 0.3383 - val_categorical_accuracy: 0.8832 - 390ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2646 - categorical_accuracy: 0.9043 - val_loss: 0.3547 - val_categorical_accuracy: 0.8770 - 400ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2484 - categorical_accuracy: 0.9105 - val_loss: 0.5864 - val_categorical_accuracy: 0.7943 - 400ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2707 - categorical_accuracy: 0.9009 - val_loss: 0.3818 - val_categorical_accuracy: 0.8665 - 400ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2526 - categorical_accuracy: 0.9082 - val_loss: 0.3632 - val_categorical_accuracy: 0.8758 - 400ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2752 - categorical_accuracy: 0.8997 - val_loss: 0.4039 - val_categorical_accuracy: 0.8542 - 400ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2938 - categorical_accuracy: 0.8966 - val_loss: 0.3585 - val_categorical_accuracy: 0.8769 - 400ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2443 - categorical_accuracy: 0.9117 - val_loss: 0.3377 - val_categorical_accuracy: 0.8826 - 400ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9084 - val_loss: 0.3504 - val_categorical_accuracy: 0.8780 - 400ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2517 - categorical_accuracy: 0.9089 - val_loss: 0.3877 - val_categorical_accuracy: 0.8665 - 400ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2590 - categorical_accuracy: 0.9075 - val_loss: 0.4206 - val_categorical_accuracy: 0.8541 - 400ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.3669 - categorical_accuracy: 0.8819 - val_loss: 0.3438 - val_categorical_accuracy: 0.8831 - 410ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2411 - categorical_accuracy: 0.9140 - val_loss: 0.3458 - val_categorical_accuracy: 0.8837 - 400ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2565 - categorical_accuracy: 0.9067 - val_loss: 0.3681 - val_categorical_accuracy: 0.8728 - 400ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2411 - categorical_accuracy: 0.9135 - val_loss: 0.3433 - val_categorical_accuracy: 0.8846 - 400ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2697 - categorical_accuracy: 0.9012 - val_loss: 0.4614 - val_categorical_accuracy: 0.8425 - 400ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2571 - categorical_accuracy: 0.9073 - val_loss: 0.3672 - val_categorical_accuracy: 0.8698 - 400ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.3020 - categorical_accuracy: 0.8976 - val_loss: 0.3375 - val_categorical_accuracy: 0.8843 - 390ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2413 - categorical_accuracy: 0.9140 - val_loss: 0.4026 - val_categorical_accuracy: 0.8720 - 400ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2795 - categorical_accuracy: 0.8994 - val_loss: 0.4582 - val_categorical_accuracy: 0.8411 - 410ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2399 - categorical_accuracy: 0.9149 - val_loss: 0.3796 - val_categorical_accuracy: 0.8688 - 396ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2591 - categorical_accuracy: 0.9058 - val_loss: 0.3477 - val_categorical_accuracy: 0.8806 - 394ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2409 - categorical_accuracy: 0.9139 - val_loss: 0.3948 - val_categorical_accuracy: 0.8604 - 410ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2475 - categorical_accuracy: 0.9092 - val_loss: 0.3415 - val_categorical_accuracy: 0.8835 - 410ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2609 - categorical_accuracy: 0.9060 - val_loss: 0.8750 - val_categorical_accuracy: 0.7728 - 400ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2679 - categorical_accuracy: 0.9078 - val_loss: 0.5401 - val_categorical_accuracy: 0.8284 - 390ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2505 - categorical_accuracy: 0.9092 - val_loss: 0.4001 - val_categorical_accuracy: 0.8600 - 390ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2207 - categorical_accuracy: 0.9212 - val_loss: 0.3492 - val_categorical_accuracy: 0.8817 - 400ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2605 - categorical_accuracy: 0.9083 - val_loss: 0.3338 - val_categorical_accuracy: 0.8899 - 390ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2308 - categorical_accuracy: 0.9171 - val_loss: 0.3883 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2435 - categorical_accuracy: 0.9107 - val_loss: 0.3714 - val_categorical_accuracy: 0.8706 - 400ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2366 - categorical_accuracy: 0.9137 - val_loss: 0.4836 - val_categorical_accuracy: 0.8391 - 400ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.3863 - categorical_accuracy: 0.8785 - val_loss: 0.3758 - val_categorical_accuracy: 0.8704 - 400ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2313 - categorical_accuracy: 0.9180 - val_loss: 0.3671 - val_categorical_accuracy: 0.8736 - 420ms/epoch - 9ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2693 - categorical_accuracy: 0.9061 - val_loss: 0.3618 - val_categorical_accuracy: 0.8724 - 400ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2262 - categorical_accuracy: 0.9191 - val_loss: 0.3640 - val_categorical_accuracy: 0.8777 - 400ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2352 - categorical_accuracy: 0.9135 - val_loss: 0.3468 - val_categorical_accuracy: 0.8811 - 390ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2198 - categorical_accuracy: 0.9209 - val_loss: 0.3668 - val_categorical_accuracy: 0.8756 - 390ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2436 - categorical_accuracy: 0.9110 - val_loss: 0.3782 - val_categorical_accuracy: 0.8673 - 400ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2500 - categorical_accuracy: 0.9112 - val_loss: 0.3888 - val_categorical_accuracy: 0.8703 - 400ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9117 - val_loss: 0.4335 - val_categorical_accuracy: 0.8528 - 420ms/epoch - 9ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2069 - categorical_accuracy: 0.9265 - val_loss: 0.3507 - val_categorical_accuracy: 0.8820 - 400ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2434 - categorical_accuracy: 0.9110 - val_loss: 0.4925 - val_categorical_accuracy: 0.8308 - 400ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2327 - categorical_accuracy: 0.9164 - val_loss: 0.3222 - val_categorical_accuracy: 0.8951 - 400ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2196 - categorical_accuracy: 0.9210 - val_loss: 0.3568 - val_categorical_accuracy: 0.8822 - 400ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2229 - categorical_accuracy: 0.9192 - val_loss: 0.3435 - val_categorical_accuracy: 0.8878 - 400ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2598 - categorical_accuracy: 0.9075 - val_loss: 0.3396 - val_categorical_accuracy: 0.8858 - 400ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2075 - categorical_accuracy: 0.9265 - val_loss: 0.3445 - val_categorical_accuracy: 0.8854 - 400ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2034 - categorical_accuracy: 0.9280 - val_loss: 0.3889 - val_categorical_accuracy: 0.8667 - 400ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2449 - categorical_accuracy: 0.9123 - val_loss: 0.3263 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2317 - categorical_accuracy: 0.9161 - val_loss: 0.4060 - val_categorical_accuracy: 0.8632 - 410ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2060 - categorical_accuracy: 0.9256 - val_loss: 0.3619 - val_categorical_accuracy: 0.8768 - 400ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2482 - categorical_accuracy: 0.9131 - val_loss: 0.7118 - val_categorical_accuracy: 0.7864 - 400ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2176 - categorical_accuracy: 0.9242 - val_loss: 0.5030 - val_categorical_accuracy: 0.8431 - 400ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2427 - categorical_accuracy: 0.9132 - val_loss: 0.3357 - val_categorical_accuracy: 0.8892 - 390ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2144 - categorical_accuracy: 0.9238 - val_loss: 0.3374 - val_categorical_accuracy: 0.8881 - 400ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2218 - categorical_accuracy: 0.9193 - val_loss: 0.3541 - val_categorical_accuracy: 0.8828 - 390ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2263 - categorical_accuracy: 0.9175 - val_loss: 0.3324 - val_categorical_accuracy: 0.8898 - 400ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2100 - categorical_accuracy: 0.9247 - val_loss: 0.4766 - val_categorical_accuracy: 0.8442 - 410ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2015 - categorical_accuracy: 0.9299 - val_loss: 0.5230 - val_categorical_accuracy: 0.8279 - 400ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2325 - categorical_accuracy: 0.9173 - val_loss: 0.3346 - val_categorical_accuracy: 0.8894 - 400ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2216 - categorical_accuracy: 0.9192 - val_loss: 0.4167 - val_categorical_accuracy: 0.8594 - 400ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.1928 - categorical_accuracy: 0.9311 - val_loss: 0.3968 - val_categorical_accuracy: 0.8638 - 400ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 1.3977 - categorical_accuracy: 0.6390 - val_loss: 0.6061 - val_categorical_accuracy: 0.7855 - 400ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.3919 - categorical_accuracy: 0.8601 - val_loss: 0.4197 - val_categorical_accuracy: 0.8537 - 400ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2620 - categorical_accuracy: 0.9080 - val_loss: 0.3723 - val_categorical_accuracy: 0.8738 - 400ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2346 - categorical_accuracy: 0.9159 - val_loss: 0.3892 - val_categorical_accuracy: 0.8678 - 400ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2290 - categorical_accuracy: 0.9174 - val_loss: 0.4288 - val_categorical_accuracy: 0.8519 - 390ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2186 - categorical_accuracy: 0.9212 - val_loss: 0.4115 - val_categorical_accuracy: 0.8635 - 400ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2098 - categorical_accuracy: 0.9258 - val_loss: 0.3749 - val_categorical_accuracy: 0.8764 - 390ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.2123 - categorical_accuracy: 0.9241 - val_loss: 0.3671 - val_categorical_accuracy: 0.8801 - 400ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2092 - categorical_accuracy: 0.9243 - val_loss: 0.3610 - val_categorical_accuracy: 0.8817 - 400ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2266 - categorical_accuracy: 0.9192 - val_loss: 0.4091 - val_categorical_accuracy: 0.8633 - 400ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.1925 - categorical_accuracy: 0.9311 - val_loss: 0.3824 - val_categorical_accuracy: 0.8736 - 400ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2340 - categorical_accuracy: 0.9146 - val_loss: 0.3571 - val_categorical_accuracy: 0.8808 - 410ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.2052 - categorical_accuracy: 0.9268 - val_loss: 0.3949 - val_categorical_accuracy: 0.8695 - 400ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.1958 - categorical_accuracy: 0.9308 - val_loss: 0.3629 - val_categorical_accuracy: 0.8825 - 400ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2279 - categorical_accuracy: 0.9172 - val_loss: 0.3429 - val_categorical_accuracy: 0.8871 - 400ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 1s - loss: 0.1971 - categorical_accuracy: 0.9296 - val_loss: 0.3704 - val_categorical_accuracy: 0.8782 - 570ms/epoch - 12ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2067 - categorical_accuracy: 0.9249 - val_loss: 0.3744 - val_categorical_accuracy: 0.8794 - 400ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.1994 - categorical_accuracy: 0.9291 - val_loss: 0.3802 - val_categorical_accuracy: 0.8764 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.2023 - categorical_accuracy: 0.9278 - val_loss: 0.5029 - val_categorical_accuracy: 0.8324 - 410ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.2744 - categorical_accuracy: 0.9093 - val_loss: 1.4527 - val_categorical_accuracy: 0.6716 - 400ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2223 - categorical_accuracy: 0.9256 - val_loss: 0.3423 - val_categorical_accuracy: 0.8865 - 470ms/epoch - 10ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2069 - categorical_accuracy: 0.9259 - val_loss: 0.3321 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1974 - categorical_accuracy: 0.9302 - val_loss: 0.3676 - val_categorical_accuracy: 0.8764 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.1905 - categorical_accuracy: 0.9314 - val_loss: 0.3757 - val_categorical_accuracy: 0.8788 - 390ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.2170 - categorical_accuracy: 0.9226 - val_loss: 0.3879 - val_categorical_accuracy: 0.8770 - 394ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9316 - val_loss: 0.3427 - val_categorical_accuracy: 0.8878 - 400ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9338 - val_loss: 0.3720 - val_categorical_accuracy: 0.8779 - 410ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.3907 - categorical_accuracy: 0.8875 - val_loss: 0.3399 - val_categorical_accuracy: 0.8888 - 390ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.1723 - categorical_accuracy: 0.9397 - val_loss: 0.3528 - val_categorical_accuracy: 0.8819 - 400ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1848 - categorical_accuracy: 0.9338 - val_loss: 0.4100 - val_categorical_accuracy: 0.8690 - 394ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.1916 - categorical_accuracy: 0.9313 - val_loss: 0.3438 - val_categorical_accuracy: 0.8904 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.2068 - categorical_accuracy: 0.9245 - val_loss: 0.3483 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.1938 - categorical_accuracy: 0.9325 - val_loss: 0.3808 - val_categorical_accuracy: 0.8768 - 390ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1983 - categorical_accuracy: 0.9283 - val_loss: 0.4767 - val_categorical_accuracy: 0.8505 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1884 - categorical_accuracy: 0.9329 - val_loss: 0.5054 - val_categorical_accuracy: 0.8447 - 410ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2298 - categorical_accuracy: 0.9189 - val_loss: 0.3372 - val_categorical_accuracy: 0.8912 - 390ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1978 - categorical_accuracy: 0.9305 - val_loss: 0.3620 - val_categorical_accuracy: 0.8815 - 400ms/epoch - 8ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1691 - categorical_accuracy: 0.9412 - val_loss: 0.3391 - val_categorical_accuracy: 0.8916 - 400ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9271 - val_loss: 0.4470 - val_categorical_accuracy: 0.8548 - 400ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9311 - val_loss: 0.3718 - val_categorical_accuracy: 0.8805 - 404ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.2611 - categorical_accuracy: 0.9144 - val_loss: 0.3292 - val_categorical_accuracy: 0.8937 - 410ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1639 - categorical_accuracy: 0.9427 - val_loss: 0.3420 - val_categorical_accuracy: 0.8907 - 410ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1929 - categorical_accuracy: 0.9322 - val_loss: 0.3328 - val_categorical_accuracy: 0.8915 - 420ms/epoch - 9ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1997 - categorical_accuracy: 0.9286 - val_loss: 0.3458 - val_categorical_accuracy: 0.8923 - 400ms/epoch - 8ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.1881 - categorical_accuracy: 0.9334 - val_loss: 0.3124 - val_categorical_accuracy: 0.9059 - 394ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.1851 - categorical_accuracy: 0.9340 - val_loss: 0.3333 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.1866 - categorical_accuracy: 0.9362 - val_loss: 0.3375 - val_categorical_accuracy: 0.8956 - 400ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.2000 - categorical_accuracy: 0.9276 - val_loss: 0.3194 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1786 - categorical_accuracy: 0.9363 - val_loss: 0.5341 - val_categorical_accuracy: 0.8212 - 390ms/epoch - 8ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1880 - categorical_accuracy: 0.9337 - val_loss: 0.3718 - val_categorical_accuracy: 0.8824 - 400ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1994 - categorical_accuracy: 0.9286 - val_loss: 0.5353 - val_categorical_accuracy: 0.8375 - 410ms/epoch - 8ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.2226 - categorical_accuracy: 0.9270 - val_loss: 0.3313 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1740 - categorical_accuracy: 0.9383 - val_loss: 0.6128 - val_categorical_accuracy: 0.8403 - 390ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.2028 - categorical_accuracy: 0.9293 - val_loss: 0.3431 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1781 - categorical_accuracy: 0.9377 - val_loss: 0.3489 - val_categorical_accuracy: 0.8901 - 400ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1985 - categorical_accuracy: 0.9292 - val_loss: 0.3247 - val_categorical_accuracy: 0.8964 - 400ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1522 - categorical_accuracy: 0.9475 - val_loss: 0.4037 - val_categorical_accuracy: 0.8722 - 400ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.2259 - categorical_accuracy: 0.9247 - val_loss: 0.3611 - val_categorical_accuracy: 0.8844 - 410ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1710 - categorical_accuracy: 0.9387 - val_loss: 0.3903 - val_categorical_accuracy: 0.8760 - 410ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1563 - categorical_accuracy: 0.9451 - val_loss: 0.3469 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.2506 - categorical_accuracy: 0.9171 - val_loss: 0.4023 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1675 - categorical_accuracy: 0.9400 - val_loss: 0.3870 - val_categorical_accuracy: 0.8717 - 390ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.2014 - categorical_accuracy: 0.9285 - val_loss: 0.3477 - val_categorical_accuracy: 0.8892 - 400ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9412 - val_loss: 0.3986 - val_categorical_accuracy: 0.8751 - 390ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1933 - categorical_accuracy: 0.9325 - val_loss: 0.6267 - val_categorical_accuracy: 0.8303 - 390ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1887 - categorical_accuracy: 0.9357 - val_loss: 0.3484 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9329 - val_loss: 0.3485 - val_categorical_accuracy: 0.8899 - 410ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9448 - val_loss: 0.3226 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.1956 - categorical_accuracy: 0.9300 - val_loss: 0.3164 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1700 - categorical_accuracy: 0.9411 - val_loss: 0.3438 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.5850 - categorical_accuracy: 0.8449 - val_loss: 0.3979 - val_categorical_accuracy: 0.8623 - 400ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1916 - categorical_accuracy: 0.9350 - val_loss: 0.3258 - val_categorical_accuracy: 0.8952 - 400ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9464 - val_loss: 0.3338 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1823 - categorical_accuracy: 0.9361 - val_loss: 0.3346 - val_categorical_accuracy: 0.8977 - 420ms/epoch - 9ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1737 - categorical_accuracy: 0.9380 - val_loss: 0.3161 - val_categorical_accuracy: 0.9044 - 440ms/epoch - 9ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.1480 - categorical_accuracy: 0.9481 - val_loss: 0.4019 - val_categorical_accuracy: 0.8784 - 400ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.2116 - categorical_accuracy: 0.9262 - val_loss: 0.3511 - val_categorical_accuracy: 0.8859 - 400ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1682 - categorical_accuracy: 0.9413 - val_loss: 0.3134 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9458 - val_loss: 0.3255 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1607 - categorical_accuracy: 0.9437 - val_loss: 0.7998 - val_categorical_accuracy: 0.7510 - 390ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1997 - categorical_accuracy: 0.9330 - val_loss: 0.3558 - val_categorical_accuracy: 0.8893 - 400ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1747 - categorical_accuracy: 0.9374 - val_loss: 0.3608 - val_categorical_accuracy: 0.8863 - 410ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1597 - categorical_accuracy: 0.9428 - val_loss: 0.3816 - val_categorical_accuracy: 0.8824 - 400ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1853 - categorical_accuracy: 0.9357 - val_loss: 0.3576 - val_categorical_accuracy: 0.8871 - 390ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1969 - categorical_accuracy: 0.9351 - val_loss: 0.3556 - val_categorical_accuracy: 0.8838 - 400ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1411 - categorical_accuracy: 0.9513 - val_loss: 0.3637 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.2002 - categorical_accuracy: 0.9302 - val_loss: 0.3792 - val_categorical_accuracy: 0.8853 - 400ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1805 - categorical_accuracy: 0.9363 - val_loss: 0.3469 - val_categorical_accuracy: 0.8908 - 390ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1615 - categorical_accuracy: 0.9432 - val_loss: 0.3365 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1543 - categorical_accuracy: 0.9459 - val_loss: 0.3572 - val_categorical_accuracy: 0.8923 - 400ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1778 - categorical_accuracy: 0.9394 - val_loss: 0.3513 - val_categorical_accuracy: 0.8937 - 400ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1808 - categorical_accuracy: 0.9364 - val_loss: 0.3473 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1381 - categorical_accuracy: 0.9522 - val_loss: 0.4946 - val_categorical_accuracy: 0.8485 - 390ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.3238 - categorical_accuracy: 0.9028 - val_loss: 0.3330 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1394 - categorical_accuracy: 0.9515 - val_loss: 0.3432 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1864 - categorical_accuracy: 0.9361 - val_loss: 0.3630 - val_categorical_accuracy: 0.8870 - 400ms/epoch - 8ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1404 - categorical_accuracy: 0.9512 - val_loss: 0.3683 - val_categorical_accuracy: 0.8847 - 400ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1887 - categorical_accuracy: 0.9337 - val_loss: 0.3338 - val_categorical_accuracy: 0.8981 - 420ms/epoch - 9ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1405 - categorical_accuracy: 0.9507 - val_loss: 0.4987 - val_categorical_accuracy: 0.8495 - 400ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1644 - categorical_accuracy: 0.9419 - val_loss: 0.3343 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1785 - categorical_accuracy: 0.9357 - val_loss: 0.4228 - val_categorical_accuracy: 0.8762 - 396ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1361 - categorical_accuracy: 0.9533 - val_loss: 0.3692 - val_categorical_accuracy: 0.8914 - 390ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.3360 - categorical_accuracy: 0.9034 - val_loss: 0.3387 - val_categorical_accuracy: 0.8935 - 397ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1456 - categorical_accuracy: 0.9489 - val_loss: 0.4433 - val_categorical_accuracy: 0.8670 - 390ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1621 - categorical_accuracy: 0.9444 - val_loss: 0.3604 - val_categorical_accuracy: 0.8921 - 400ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1660 - categorical_accuracy: 0.9414 - val_loss: 0.3460 - val_categorical_accuracy: 0.8931 - 416ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1665 - categorical_accuracy: 0.9436 - val_loss: 0.3300 - val_categorical_accuracy: 0.9015 - 419ms/epoch - 9ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1633 - categorical_accuracy: 0.9423 - val_loss: 0.4175 - val_categorical_accuracy: 0.8768 - 390ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9474 - val_loss: 0.3471 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9376 - val_loss: 0.3164 - val_categorical_accuracy: 0.9060 - 395ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1536 - categorical_accuracy: 0.9459 - val_loss: 0.4823 - val_categorical_accuracy: 0.8549 - 400ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1565 - categorical_accuracy: 0.9449 - val_loss: 0.3353 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1499 - categorical_accuracy: 0.9473 - val_loss: 0.3672 - val_categorical_accuracy: 0.8899 - 400ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9445 - val_loss: 0.3772 - val_categorical_accuracy: 0.8838 - 420ms/epoch - 9ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1387 - categorical_accuracy: 0.9512 - val_loss: 0.4867 - val_categorical_accuracy: 0.8561 - 424ms/epoch - 9ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9358 - val_loss: 0.3727 - val_categorical_accuracy: 0.8890 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.2087 - categorical_accuracy: 0.9332 - val_loss: 0.3261 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1760 - categorical_accuracy: 0.9407 - val_loss: 0.5710 - val_categorical_accuracy: 0.8337 - 400ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9447 - val_loss: 0.3357 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9467 - val_loss: 0.3396 - val_categorical_accuracy: 0.8959 - 404ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1457 - categorical_accuracy: 0.9493 - val_loss: 0.6435 - val_categorical_accuracy: 0.8104 - 400ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9432 - val_loss: 0.4878 - val_categorical_accuracy: 0.8544 - 420ms/epoch - 9ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1635 - categorical_accuracy: 0.9444 - val_loss: 0.3614 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1334 - categorical_accuracy: 0.9535 - val_loss: 0.4653 - val_categorical_accuracy: 0.8642 - 400ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1809 - categorical_accuracy: 0.9364 - val_loss: 0.3512 - val_categorical_accuracy: 0.8985 - 395ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1351 - categorical_accuracy: 0.9528 - val_loss: 0.6387 - val_categorical_accuracy: 0.8373 - 390ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.2259 - categorical_accuracy: 0.9286 - val_loss: 0.3361 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1660 - categorical_accuracy: 0.9429 - val_loss: 0.3357 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1265 - categorical_accuracy: 0.9568 - val_loss: 0.3834 - val_categorical_accuracy: 0.8848 - 390ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1402 - categorical_accuracy: 0.9505 - val_loss: 0.3456 - val_categorical_accuracy: 0.9002 - 410ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1355 - categorical_accuracy: 0.9521 - val_loss: 0.3498 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.2212 - categorical_accuracy: 0.9282 - val_loss: 0.3948 - val_categorical_accuracy: 0.8824 - 390ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1315 - categorical_accuracy: 0.9541 - val_loss: 0.3735 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.2000 - categorical_accuracy: 0.9337 - val_loss: 0.3263 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1261 - categorical_accuracy: 0.9566 - val_loss: 0.3320 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1295 - categorical_accuracy: 0.9548 - val_loss: 0.3609 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1753 - categorical_accuracy: 0.9406 - val_loss: 0.3472 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1257 - categorical_accuracy: 0.9566 - val_loss: 0.4980 - val_categorical_accuracy: 0.8662 - 410ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1912 - categorical_accuracy: 0.9390 - val_loss: 0.3690 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1563 - categorical_accuracy: 0.9443 - val_loss: 0.3779 - val_categorical_accuracy: 0.8902 - 394ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1222 - categorical_accuracy: 0.9575 - val_loss: 0.3610 - val_categorical_accuracy: 0.8946 - 400ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.2172 - categorical_accuracy: 0.9300 - val_loss: 0.3342 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1680 - categorical_accuracy: 0.9436 - val_loss: 0.6088 - val_categorical_accuracy: 0.8168 - 400ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1363 - categorical_accuracy: 0.9526 - val_loss: 0.3650 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1726 - categorical_accuracy: 0.9420 - val_loss: 0.3578 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9557 - val_loss: 0.3424 - val_categorical_accuracy: 0.9047 - 410ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1334 - categorical_accuracy: 0.9532 - val_loss: 0.3654 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1570 - categorical_accuracy: 0.9429 - val_loss: 0.4217 - val_categorical_accuracy: 0.8746 - 400ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.2811 - categorical_accuracy: 0.9130 - val_loss: 0.3353 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1530 - categorical_accuracy: 0.9469 - val_loss: 0.3810 - val_categorical_accuracy: 0.8878 - 400ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9598 - val_loss: 0.3844 - val_categorical_accuracy: 0.8925 - 400ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1638 - categorical_accuracy: 0.9451 - val_loss: 0.3392 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1256 - categorical_accuracy: 0.9565 - val_loss: 0.3501 - val_categorical_accuracy: 0.8991 - 410ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1864 - categorical_accuracy: 0.9376 - val_loss: 0.3332 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1232 - categorical_accuracy: 0.9569 - val_loss: 0.3791 - val_categorical_accuracy: 0.8875 - 400ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1694 - categorical_accuracy: 0.9438 - val_loss: 0.3825 - val_categorical_accuracy: 0.8843 - 400ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1678 - categorical_accuracy: 0.9439 - val_loss: 0.5313 - val_categorical_accuracy: 0.8428 - 390ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1316 - categorical_accuracy: 0.9545 - val_loss: 0.3466 - val_categorical_accuracy: 0.8982 - 390ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1463 - categorical_accuracy: 0.9488 - val_loss: 0.3358 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1179 - categorical_accuracy: 0.9593 - val_loss: 0.4103 - val_categorical_accuracy: 0.8819 - 394ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1650 - categorical_accuracy: 0.9444 - val_loss: 0.4208 - val_categorical_accuracy: 0.8740 - 410ms/epoch - 8ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1244 - categorical_accuracy: 0.9568 - val_loss: 0.3516 - val_categorical_accuracy: 0.9018 - 430ms/epoch - 9ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1275 - categorical_accuracy: 0.9558 - val_loss: 0.4726 - val_categorical_accuracy: 0.8629 - 400ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1897 - categorical_accuracy: 0.9364 - val_loss: 0.3416 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1133 - categorical_accuracy: 0.9614 - val_loss: 0.3654 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1170 - categorical_accuracy: 0.9585 - val_loss: 0.3743 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.2970 - categorical_accuracy: 0.9109 - val_loss: 0.3494 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1168 - categorical_accuracy: 0.9602 - val_loss: 0.3448 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1348 - categorical_accuracy: 0.9525 - val_loss: 0.3581 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1348 - categorical_accuracy: 0.9517 - val_loss: 0.3324 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1125 - categorical_accuracy: 0.9613 - val_loss: 0.3669 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1913 - categorical_accuracy: 0.9336 - val_loss: 0.3383 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1122 - categorical_accuracy: 0.9615 - val_loss: 0.3859 - val_categorical_accuracy: 0.8867 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1955 - categorical_accuracy: 0.9332 - val_loss: 0.3627 - val_categorical_accuracy: 0.8877 - 400ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1166 - categorical_accuracy: 0.9599 - val_loss: 0.3346 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9600 - val_loss: 0.5291 - val_categorical_accuracy: 0.8478 - 390ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.6759 - categorical_accuracy: 0.8237 - val_loss: 0.3610 - val_categorical_accuracy: 0.8860 - 410ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1395 - categorical_accuracy: 0.9520 - val_loss: 0.3378 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1207 - categorical_accuracy: 0.9589 - val_loss: 0.3490 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9437 - val_loss: 0.3446 - val_categorical_accuracy: 0.8951 - 394ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1187 - categorical_accuracy: 0.9592 - val_loss: 0.3490 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1124 - categorical_accuracy: 0.9616 - val_loss: 0.3580 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1666 - categorical_accuracy: 0.9452 - val_loss: 0.3351 - val_categorical_accuracy: 0.9018 - 394ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9453 - val_loss: 0.3452 - val_categorical_accuracy: 0.8962 - 410ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1140 - categorical_accuracy: 0.9617 - val_loss: 0.3601 - val_categorical_accuracy: 0.8963 - 410ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1193 - categorical_accuracy: 0.9583 - val_loss: 0.3374 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1571 - categorical_accuracy: 0.9490 - val_loss: 0.3526 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1122 - categorical_accuracy: 0.9615 - val_loss: 0.3395 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1335 - categorical_accuracy: 0.9540 - val_loss: 1.0629 - val_categorical_accuracy: 0.8145 - 390ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1391 - categorical_accuracy: 0.9549 - val_loss: 0.3757 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1906 - categorical_accuracy: 0.9379 - val_loss: 0.3580 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1128 - categorical_accuracy: 0.9614 - val_loss: 0.3436 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9601 - val_loss: 0.3662 - val_categorical_accuracy: 0.9008 - 410ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1137 - categorical_accuracy: 0.9601 - val_loss: 0.3456 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1694 - categorical_accuracy: 0.9468 - val_loss: 0.3542 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1091 - categorical_accuracy: 0.9624 - val_loss: 0.3559 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1561 - categorical_accuracy: 0.9477 - val_loss: 0.3380 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1120 - categorical_accuracy: 0.9613 - val_loss: 0.5081 - val_categorical_accuracy: 0.8576 - 400ms/epoch - 8ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.2262 - categorical_accuracy: 0.9353 - val_loss: 0.3415 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1466 - categorical_accuracy: 0.9521 - val_loss: 0.3862 - val_categorical_accuracy: 0.8911 - 400ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9627 - val_loss: 0.3854 - val_categorical_accuracy: 0.8894 - 430ms/epoch - 9ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9545 - val_loss: 1.2816 - val_categorical_accuracy: 0.6830 - 400ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1721 - categorical_accuracy: 0.9473 - val_loss: 0.3366 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1232 - categorical_accuracy: 0.9564 - val_loss: 0.3513 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1083 - categorical_accuracy: 0.9628 - val_loss: 0.3511 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1522 - categorical_accuracy: 0.9475 - val_loss: 0.3523 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9622 - val_loss: 0.4198 - val_categorical_accuracy: 0.8829 - 400ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1651 - categorical_accuracy: 0.9468 - val_loss: 0.3529 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1295 - categorical_accuracy: 0.9538 - val_loss: 0.3841 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1600 - categorical_accuracy: 0.9483 - val_loss: 0.5637 - val_categorical_accuracy: 0.8401 - 400ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1218 - categorical_accuracy: 0.9580 - val_loss: 0.3857 - val_categorical_accuracy: 0.8959 - 410ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1091 - categorical_accuracy: 0.9624 - val_loss: 0.3621 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1647 - categorical_accuracy: 0.9419 - val_loss: 0.5018 - val_categorical_accuracy: 0.8655 - 390ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1115 - categorical_accuracy: 0.9615 - val_loss: 0.3537 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1909 - categorical_accuracy: 0.9391 - val_loss: 0.8399 - val_categorical_accuracy: 0.7690 - 400ms/epoch - 8ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1406 - categorical_accuracy: 0.9528 - val_loss: 0.3437 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1084 - categorical_accuracy: 0.9626 - val_loss: 0.3449 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1119 - categorical_accuracy: 0.9611 - val_loss: 0.4154 - val_categorical_accuracy: 0.8868 - 400ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9492 - val_loss: 0.3640 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1084 - categorical_accuracy: 0.9624 - val_loss: 0.3529 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1217 - categorical_accuracy: 0.9582 - val_loss: 0.3783 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1482 - categorical_accuracy: 0.9494 - val_loss: 0.3793 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1041 - categorical_accuracy: 0.9637 - val_loss: 0.3900 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1053 - categorical_accuracy: 0.9634 - val_loss: 0.3828 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9366 - val_loss: 0.3425 - val_categorical_accuracy: 0.9064 - 420ms/epoch - 9ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1054 - categorical_accuracy: 0.9635 - val_loss: 0.4040 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1534 - categorical_accuracy: 0.9479 - val_loss: 0.3436 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1007 - categorical_accuracy: 0.9651 - val_loss: 0.3820 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1701 - categorical_accuracy: 0.9427 - val_loss: 0.3589 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1023 - categorical_accuracy: 0.9646 - val_loss: 0.3723 - val_categorical_accuracy: 0.8964 - 410ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1060 - categorical_accuracy: 0.9629 - val_loss: 0.3551 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1214 - categorical_accuracy: 0.9572 - val_loss: 0.3775 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1828 - categorical_accuracy: 0.9419 - val_loss: 0.3639 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1095 - categorical_accuracy: 0.9622 - val_loss: 0.4223 - val_categorical_accuracy: 0.8829 - 400ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1462 - categorical_accuracy: 0.9520 - val_loss: 0.3773 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9647 - val_loss: 0.4879 - val_categorical_accuracy: 0.8708 - 400ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1262 - categorical_accuracy: 0.9558 - val_loss: 0.3770 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9656 - val_loss: 0.3669 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 1s - loss: 0.1905 - categorical_accuracy: 0.9398 - val_loss: 0.3491 - val_categorical_accuracy: 0.9068 - 570ms/epoch - 12ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1002 - categorical_accuracy: 0.9655 - val_loss: 0.3627 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.2318 - categorical_accuracy: 0.9334 - val_loss: 0.4054 - val_categorical_accuracy: 0.8727 - 400ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1166 - categorical_accuracy: 0.9596 - val_loss: 0.3770 - val_categorical_accuracy: 0.8941 - 440ms/epoch - 9ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1008 - categorical_accuracy: 0.9660 - val_loss: 0.3496 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9664 - val_loss: 0.3650 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1992 - categorical_accuracy: 0.9377 - val_loss: 0.3469 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.0996 - categorical_accuracy: 0.9661 - val_loss: 0.3802 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9643 - val_loss: 0.3810 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1582 - categorical_accuracy: 0.9501 - val_loss: 0.3909 - val_categorical_accuracy: 0.8896 - 390ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1073 - categorical_accuracy: 0.9634 - val_loss: 0.3897 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.2463 - categorical_accuracy: 0.9254 - val_loss: 0.4453 - val_categorical_accuracy: 0.8635 - 400ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1177 - categorical_accuracy: 0.9597 - val_loss: 0.3531 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1047 - categorical_accuracy: 0.9635 - val_loss: 0.3632 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1534 - categorical_accuracy: 0.9475 - val_loss: 0.3690 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1006 - categorical_accuracy: 0.9652 - val_loss: 0.3674 - val_categorical_accuracy: 0.9003 - 410ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9661 - val_loss: 0.3919 - val_categorical_accuracy: 0.8937 - 410ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1093 - categorical_accuracy: 0.9615 - val_loss: 0.3890 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9640 - val_loss: 0.3622 - val_categorical_accuracy: 0.9048 - 398ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.0974 - categorical_accuracy: 0.9656 - val_loss: 0.3870 - val_categorical_accuracy: 0.9008 - 396ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1766 - categorical_accuracy: 0.9438 - val_loss: 0.3744 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9639 - val_loss: 0.4404 - val_categorical_accuracy: 0.8836 - 400ms/epoch - 8ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1407 - categorical_accuracy: 0.9513 - val_loss: 0.9200 - val_categorical_accuracy: 0.8095 - 390ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.1512 - categorical_accuracy: 0.9506 - val_loss: 0.4041 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9657 - val_loss: 0.4010 - val_categorical_accuracy: 0.8901 - 410ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1019 - categorical_accuracy: 0.9644 - val_loss: 0.3759 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.1632 - categorical_accuracy: 0.9452 - val_loss: 0.3668 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9665 - val_loss: 0.3906 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1372 - categorical_accuracy: 0.9545 - val_loss: 0.7238 - val_categorical_accuracy: 0.8193 - 400ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1271 - categorical_accuracy: 0.9566 - val_loss: 0.3640 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9665 - val_loss: 0.4265 - val_categorical_accuracy: 0.8898 - 400ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.1004 - categorical_accuracy: 0.9648 - val_loss: 0.3771 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.1065 - categorical_accuracy: 0.9626 - val_loss: 0.4480 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.1750 - categorical_accuracy: 0.9449 - val_loss: 0.3706 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1029 - categorical_accuracy: 0.9632 - val_loss: 0.3880 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1012 - categorical_accuracy: 0.9647 - val_loss: 0.4174 - val_categorical_accuracy: 0.8876 - 400ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9390 - val_loss: 0.3677 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9653 - val_loss: 0.4186 - val_categorical_accuracy: 0.8898 - 400ms/epoch - 8ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9678 - val_loss: 0.3899 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.0951 - categorical_accuracy: 0.9669 - val_loss: 0.3805 - val_categorical_accuracy: 0.9053 - 420ms/epoch - 9ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9639 - val_loss: 0.3905 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.3488 - categorical_accuracy: 0.9095 - val_loss: 0.4065 - val_categorical_accuracy: 0.8727 - 400ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1297 - categorical_accuracy: 0.9544 - val_loss: 0.3598 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9672 - val_loss: 0.3845 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9661 - val_loss: 0.3712 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9667 - val_loss: 0.4289 - val_categorical_accuracy: 0.8880 - 400ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1752 - categorical_accuracy: 0.9447 - val_loss: 0.4172 - val_categorical_accuracy: 0.8904 - 400ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.0981 - categorical_accuracy: 0.9655 - val_loss: 0.3683 - val_categorical_accuracy: 0.9039 - 410ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.0929 - categorical_accuracy: 0.9677 - val_loss: 0.3858 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9655 - val_loss: 0.3845 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1902 - categorical_accuracy: 0.9422 - val_loss: 0.4253 - val_categorical_accuracy: 0.8862 - 400ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9498 - val_loss: 0.3627 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.0931 - categorical_accuracy: 0.9687 - val_loss: 0.3525 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.1430 - categorical_accuracy: 0.9531 - val_loss: 0.3449 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9666 - val_loss: 0.3657 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9656 - val_loss: 0.4062 - val_categorical_accuracy: 0.8971 - 410ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0961 - categorical_accuracy: 0.9661 - val_loss: 0.3802 - val_categorical_accuracy: 0.9057 - 430ms/epoch - 9ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.2038 - categorical_accuracy: 0.9378 - val_loss: 0.3447 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9670 - val_loss: 0.3821 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9671 - val_loss: 0.3818 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.0980 - categorical_accuracy: 0.9651 - val_loss: 0.3668 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9678 - val_loss: 0.4010 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.0963 - categorical_accuracy: 0.9661 - val_loss: 0.3849 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.2633 - categorical_accuracy: 0.9260 - val_loss: 0.3492 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0941 - categorical_accuracy: 0.9676 - val_loss: 0.3727 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9694 - val_loss: 0.3730 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0916 - categorical_accuracy: 0.9684 - val_loss: 0.3821 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.1262 - categorical_accuracy: 0.9585 - val_loss: 2.5263 - val_categorical_accuracy: 0.5203 - 400ms/epoch - 8ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.2712 - categorical_accuracy: 0.9213 - val_loss: 0.3571 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0955 - categorical_accuracy: 0.9675 - val_loss: 0.3739 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9665 - val_loss: 0.3955 - val_categorical_accuracy: 0.8994 - 404ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9684 - val_loss: 0.3712 - val_categorical_accuracy: 0.9060 - 410ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9672 - val_loss: 0.3915 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.2009 - categorical_accuracy: 0.9405 - val_loss: 0.3620 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0918 - categorical_accuracy: 0.9685 - val_loss: 0.3670 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9467 - val_loss: 0.3651 - val_categorical_accuracy: 0.9016 - 394ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9681 - val_loss: 0.3740 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9690 - val_loss: 0.3654 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.0943 - categorical_accuracy: 0.9669 - val_loss: 0.5043 - val_categorical_accuracy: 0.8693 - 400ms/epoch - 8ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.1636 - categorical_accuracy: 0.9469 - val_loss: 0.3644 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9698 - val_loss: 0.3983 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.1585 - categorical_accuracy: 0.9504 - val_loss: 0.3669 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.0933 - categorical_accuracy: 0.9668 - val_loss: 0.3888 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0910 - categorical_accuracy: 0.9679 - val_loss: 0.4601 - val_categorical_accuracy: 0.8831 - 400ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.1524 - categorical_accuracy: 0.9504 - val_loss: 0.3697 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9687 - val_loss: 0.4230 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1680 - categorical_accuracy: 0.9473 - val_loss: 0.3972 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9693 - val_loss: 0.3795 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0996 - categorical_accuracy: 0.9652 - val_loss: 0.5559 - val_categorical_accuracy: 0.8656 - 400ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.1168 - categorical_accuracy: 0.9603 - val_loss: 0.4174 - val_categorical_accuracy: 0.8908 - 400ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.0953 - categorical_accuracy: 0.9667 - val_loss: 0.4053 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.1493 - categorical_accuracy: 0.9499 - val_loss: 0.3651 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0975 - categorical_accuracy: 0.9661 - val_loss: 0.3739 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9695 - val_loss: 0.4263 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9443 - val_loss: 0.3877 - val_categorical_accuracy: 0.9032 - 404ms/epoch - 8ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9686 - val_loss: 0.3721 - val_categorical_accuracy: 0.9075 - 410ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9693 - val_loss: 0.3814 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.1513 - categorical_accuracy: 0.9526 - val_loss: 0.4064 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9693 - val_loss: 0.3746 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9700 - val_loss: 0.3998 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9621 - val_loss: 0.4138 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9629 - val_loss: 0.4153 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9657 - val_loss: 0.4226 - val_categorical_accuracy: 0.8913 - 410ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9673 - val_loss: 0.3894 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.1026 - categorical_accuracy: 0.9640 - val_loss: 0.3945 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.2307 - categorical_accuracy: 0.9326 - val_loss: 0.3665 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9695 - val_loss: 0.3828 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9681 - val_loss: 0.4170 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9689 - val_loss: 0.4742 - val_categorical_accuracy: 0.8813 - 390ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.1690 - categorical_accuracy: 0.9499 - val_loss: 0.3748 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9703 - val_loss: 0.3709 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9706 - val_loss: 0.4106 - val_categorical_accuracy: 0.8998 - 410ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9676 - val_loss: 0.3952 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.0921 - categorical_accuracy: 0.9674 - val_loss: 0.3908 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0897 - categorical_accuracy: 0.9678 - val_loss: 0.4713 - val_categorical_accuracy: 0.8825 - 400ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.2521 - categorical_accuracy: 0.9309 - val_loss: 0.3778 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0867 - categorical_accuracy: 0.9699 - val_loss: 0.3973 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9695 - val_loss: 0.3819 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9471 - val_loss: 0.3672 - val_categorical_accuracy: 0.9047 - 410ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9693 - val_loss: 0.4614 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9680 - val_loss: 0.4278 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0907 - categorical_accuracy: 0.9682 - val_loss: 0.3855 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9693 - val_loss: 0.4310 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.2058 - categorical_accuracy: 0.9371 - val_loss: 0.3731 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9703 - val_loss: 0.3766 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.1527 - categorical_accuracy: 0.9495 - val_loss: 0.3803 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9681 - val_loss: 0.3759 - val_categorical_accuracy: 0.9103 - 420ms/epoch - 9ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0830 - categorical_accuracy: 0.9715 - val_loss: 0.3979 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9690 - val_loss: 0.3924 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9707 - val_loss: 0.3852 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9676 - val_loss: 0.3976 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.0924 - categorical_accuracy: 0.9678 - val_loss: 0.4272 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.1529 - categorical_accuracy: 0.9524 - val_loss: 0.4073 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9692 - val_loss: 0.4115 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0953 - categorical_accuracy: 0.9661 - val_loss: 0.5336 - val_categorical_accuracy: 0.8693 - 400ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.1810 - categorical_accuracy: 0.9448 - val_loss: 0.3954 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9704 - val_loss: 0.4250 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9682 - val_loss: 0.4007 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9710 - val_loss: 0.4055 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9706 - val_loss: 0.4026 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9713 - val_loss: 0.4158 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.2098 - categorical_accuracy: 0.9405 - val_loss: 0.3707 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9708 - val_loss: 0.4048 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9713 - val_loss: 0.3920 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9702 - val_loss: 0.4178 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.2179 - categorical_accuracy: 0.9353 - val_loss: 0.3714 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0819 - categorical_accuracy: 0.9720 - val_loss: 0.4274 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9687 - val_loss: 0.3876 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9712 - val_loss: 0.4259 - val_categorical_accuracy: 0.8947 - 400ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0962 - categorical_accuracy: 0.9669 - val_loss: 0.4294 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9712 - val_loss: 0.4344 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9708 - val_loss: 0.4247 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9713 - val_loss: 0.4345 - val_categorical_accuracy: 0.8973 - 400ms/epoch - 8ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9512 - val_loss: 0.3862 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.0961 - categorical_accuracy: 0.9660 - val_loss: 0.3909 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9719 - val_loss: 0.3972 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9684 - val_loss: 0.4040 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.1819 - categorical_accuracy: 0.9468 - val_loss: 0.3805 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9710 - val_loss: 0.4783 - val_categorical_accuracy: 0.8799 - 400ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.1274 - categorical_accuracy: 0.9595 - val_loss: 0.3848 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9715 - val_loss: 0.3898 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9703 - val_loss: 0.4308 - val_categorical_accuracy: 0.8978 - 400ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.1080 - categorical_accuracy: 0.9634 - val_loss: 1.7247 - val_categorical_accuracy: 0.7614 - 399ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.1644 - categorical_accuracy: 0.9515 - val_loss: 0.4017 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9704 - val_loss: 0.4229 - val_categorical_accuracy: 0.9000 - 398ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9716 - val_loss: 0.4027 - val_categorical_accuracy: 0.9083 - 410ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9676 - val_loss: 0.5340 - val_categorical_accuracy: 0.8741 - 405ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.1992 - categorical_accuracy: 0.9439 - val_loss: 0.4047 - val_categorical_accuracy: 0.9013 - 410ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9720 - val_loss: 0.4061 - val_categorical_accuracy: 0.9026 - 395ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9719 - val_loss: 0.4080 - val_categorical_accuracy: 0.9074 - 394ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9715 - val_loss: 0.4030 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9709 - val_loss: 0.4434 - val_categorical_accuracy: 0.8992 - 398ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9671 - val_loss: 0.4625 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0820 - categorical_accuracy: 0.9703 - val_loss: 0.4328 - val_categorical_accuracy: 0.8997 - 410ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.4460 - categorical_accuracy: 0.8890 - val_loss: 0.3697 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9696 - val_loss: 0.3735 - val_categorical_accuracy: 0.9099 - 394ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9722 - val_loss: 0.4012 - val_categorical_accuracy: 0.9072 - 396ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9682 - val_loss: 0.4176 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9697 - val_loss: 0.4346 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9689 - val_loss: 0.8770 - val_categorical_accuracy: 0.8308 - 400ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.1444 - categorical_accuracy: 0.9561 - val_loss: 0.3879 - val_categorical_accuracy: 0.9039 - 395ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9729 - val_loss: 0.4048 - val_categorical_accuracy: 0.9069 - 405ms/epoch - 8ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9714 - val_loss: 0.4283 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0826 - categorical_accuracy: 0.9709 - val_loss: 0.3997 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.1897 - categorical_accuracy: 0.9407 - val_loss: 0.3908 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9714 - val_loss: 0.4821 - val_categorical_accuracy: 0.8885 - 394ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.1634 - categorical_accuracy: 0.9480 - val_loss: 0.3903 - val_categorical_accuracy: 0.9061 - 406ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9728 - val_loss: 0.4099 - val_categorical_accuracy: 0.9023 - 420ms/epoch - 9ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.1367 - categorical_accuracy: 0.9555 - val_loss: 0.4489 - val_categorical_accuracy: 0.8876 - 400ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9717 - val_loss: 0.4187 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9719 - val_loss: 0.4147 - val_categorical_accuracy: 0.9019 - 394ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9715 - val_loss: 0.3989 - val_categorical_accuracy: 0.9080 - 406ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9685 - val_loss: 0.4060 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9720 - val_loss: 0.4229 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9703 - val_loss: 0.4803 - val_categorical_accuracy: 0.8872 - 400ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.1500 - categorical_accuracy: 0.9540 - val_loss: 0.3910 - val_categorical_accuracy: 0.9100 - 405ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9718 - val_loss: 0.4053 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9718 - val_loss: 0.4051 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9733 - val_loss: 0.4495 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9721 - val_loss: 0.4077 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9726 - val_loss: 0.4460 - val_categorical_accuracy: 0.9001 - 394ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9703 - val_loss: 0.4556 - val_categorical_accuracy: 0.8953 - 396ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9721 - val_loss: 0.4190 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9723 - val_loss: 0.4507 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.1875 - categorical_accuracy: 0.9453 - val_loss: 0.4004 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.1353 - categorical_accuracy: 0.9577 - val_loss: 0.4399 - val_categorical_accuracy: 0.8907 - 404ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9707 - val_loss: 0.4786 - val_categorical_accuracy: 0.8868 - 396ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9693 - val_loss: 0.4475 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9705 - val_loss: 0.4380 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9734 - val_loss: 0.4315 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.1563 - categorical_accuracy: 0.9573 - val_loss: 1.0892 - val_categorical_accuracy: 0.7602 - 394ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9465 - val_loss: 0.4011 - val_categorical_accuracy: 0.9025 - 396ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9732 - val_loss: 0.4153 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9734 - val_loss: 0.4068 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9733 - val_loss: 0.4171 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9733 - val_loss: 0.4297 - val_categorical_accuracy: 0.9031 - 404ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0972 - categorical_accuracy: 0.9665 - val_loss: 0.7086 - val_categorical_accuracy: 0.8429 - 426ms/epoch - 9ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.1541 - categorical_accuracy: 0.9540 - val_loss: 0.4090 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9734 - val_loss: 0.4884 - val_categorical_accuracy: 0.8880 - 400ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.1464 - categorical_accuracy: 0.9546 - val_loss: 0.3940 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9718 - val_loss: 0.4174 - val_categorical_accuracy: 0.9073 - 404ms/epoch - 8ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9731 - val_loss: 0.3990 - val_categorical_accuracy: 0.9098 - 396ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9735 - val_loss: 0.3996 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.1130 - categorical_accuracy: 0.9623 - val_loss: 1.1160 - val_categorical_accuracy: 0.7449 - 410ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.1482 - categorical_accuracy: 0.9542 - val_loss: 0.4015 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9740 - val_loss: 0.4875 - val_categorical_accuracy: 0.8855 - 394ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9667 - val_loss: 0.4070 - val_categorical_accuracy: 0.9070 - 396ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9735 - val_loss: 0.4126 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.1459 - categorical_accuracy: 0.9557 - val_loss: 0.4042 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9726 - val_loss: 0.4334 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0845 - categorical_accuracy: 0.9696 - val_loss: 0.4348 - val_categorical_accuracy: 0.9030 - 404ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9720 - val_loss: 0.4288 - val_categorical_accuracy: 0.9035 - 396ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9735 - val_loss: 0.4261 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9734 - val_loss: 0.4556 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.1300 - categorical_accuracy: 0.9597 - val_loss: 0.6694 - val_categorical_accuracy: 0.8429 - 400ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.1199 - categorical_accuracy: 0.9598 - val_loss: 0.4822 - val_categorical_accuracy: 0.8851 - 404ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.1404 - categorical_accuracy: 0.9557 - val_loss: 0.4412 - val_categorical_accuracy: 0.8926 - 396ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9724 - val_loss: 0.4050 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9737 - val_loss: 0.4174 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9730 - val_loss: 0.4283 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9715 - val_loss: 0.4317 - val_categorical_accuracy: 0.9016 - 404ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9709 - val_loss: 0.4610 - val_categorical_accuracy: 0.8958 - 396ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.1506 - categorical_accuracy: 0.9539 - val_loss: 0.4230 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.1306 - categorical_accuracy: 0.9534 - val_loss: 0.4022 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9739 - val_loss: 0.4127 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9741 - val_loss: 0.4083 - val_categorical_accuracy: 0.9118 - 394ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.1509 - categorical_accuracy: 0.9538 - val_loss: 0.3997 - val_categorical_accuracy: 0.9006 - 396ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9719 - val_loss: 0.4113 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9746 - val_loss: 0.4351 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9732 - val_loss: 0.4445 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9696 - val_loss: 0.4213 - val_categorical_accuracy: 0.9071 - 424ms/epoch - 9ms/step
Epoch 780/1500
49/49 - 1s - loss: 0.0718 - categorical_accuracy: 0.9748 - val_loss: 0.4361 - val_categorical_accuracy: 0.9060 - 566ms/epoch - 12ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9481 - val_loss: 0.4096 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9715 - val_loss: 0.4193 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9740 - val_loss: 0.4097 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9743 - val_loss: 0.4235 - val_categorical_accuracy: 0.9085 - 434ms/epoch - 9ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9735 - val_loss: 0.4768 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.1541 - categorical_accuracy: 0.9491 - val_loss: 0.4360 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9736 - val_loss: 0.4324 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9734 - val_loss: 0.4819 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9734 - val_loss: 0.4382 - val_categorical_accuracy: 0.9038 - 410ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9706 - val_loss: 0.4293 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9731 - val_loss: 0.4303 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9706 - val_loss: 0.5118 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.2251 - categorical_accuracy: 0.9377 - val_loss: 0.4206 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9738 - val_loss: 0.4452 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0824 - categorical_accuracy: 0.9705 - val_loss: 0.4504 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9722 - val_loss: 0.4332 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9739 - val_loss: 0.4322 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.2964 - categorical_accuracy: 0.9221 - val_loss: 0.3813 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9731 - val_loss: 0.4144 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9743 - val_loss: 0.4532 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9747 - val_loss: 0.4441 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9737 - val_loss: 0.4474 - val_categorical_accuracy: 0.9032 - 410ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9735 - val_loss: 0.4585 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9731 - val_loss: 0.4407 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9736 - val_loss: 0.4592 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9715 - val_loss: 0.4432 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9743 - val_loss: 0.4402 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9719 - val_loss: 0.4360 - val_categorical_accuracy: 0.9068 - 410ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9734 - val_loss: 0.4685 - val_categorical_accuracy: 0.8981 - 390ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.2531 - categorical_accuracy: 0.9324 - val_loss: 0.4050 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9717 - val_loss: 0.4148 - val_categorical_accuracy: 0.9064 - 410ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9744 - val_loss: 0.4570 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9728 - val_loss: 0.4202 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9729 - val_loss: 0.4412 - val_categorical_accuracy: 0.9048 - 394ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0755 - categorical_accuracy: 0.9730 - val_loss: 0.4812 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.2488 - categorical_accuracy: 0.9298 - val_loss: 0.4287 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9729 - val_loss: 0.4446 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9735 - val_loss: 0.4402 - val_categorical_accuracy: 0.9020 - 420ms/epoch - 9ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9754 - val_loss: 0.4719 - val_categorical_accuracy: 0.8929 - 410ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9716 - val_loss: 0.4212 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9743 - val_loss: 0.6233 - val_categorical_accuracy: 0.8649 - 400ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.2193 - categorical_accuracy: 0.9392 - val_loss: 0.4168 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9747 - val_loss: 0.4445 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9737 - val_loss: 0.4358 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9742 - val_loss: 0.4288 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9752 - val_loss: 0.4375 - val_categorical_accuracy: 0.9109 - 390ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9678 - val_loss: 0.4232 - val_categorical_accuracy: 0.9098 - 410ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9748 - val_loss: 0.4343 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9746 - val_loss: 0.4374 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9755 - val_loss: 0.4445 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9693 - val_loss: 1.5107 - val_categorical_accuracy: 0.7203 - 400ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.4441 - categorical_accuracy: 0.8910 - val_loss: 0.3889 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9710 - val_loss: 0.4010 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9739 - val_loss: 0.4097 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9750 - val_loss: 0.4405 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9743 - val_loss: 0.4325 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9747 - val_loss: 0.4321 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9713 - val_loss: 0.4245 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9747 - val_loss: 0.4417 - val_categorical_accuracy: 0.9068 - 394ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9745 - val_loss: 0.4518 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9731 - val_loss: 0.4505 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9737 - val_loss: 0.4542 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9751 - val_loss: 0.4535 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.2549 - categorical_accuracy: 0.9371 - val_loss: 0.4081 - val_categorical_accuracy: 0.8956 - 394ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9706 - val_loss: 0.4656 - val_categorical_accuracy: 0.8944 - 410ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9728 - val_loss: 0.4201 - val_categorical_accuracy: 0.9119 - 400ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9750 - val_loss: 0.4275 - val_categorical_accuracy: 0.9101 - 395ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9737 - val_loss: 0.4473 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9712 - val_loss: 0.4369 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9746 - val_loss: 0.4564 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9743 - val_loss: 0.4725 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9744 - val_loss: 0.4846 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.1989 - categorical_accuracy: 0.9461 - val_loss: 0.4215 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9758 - val_loss: 0.4358 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9734 - val_loss: 0.5204 - val_categorical_accuracy: 0.8805 - 390ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9544 - val_loss: 0.4085 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9758 - val_loss: 0.4388 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9761 - val_loss: 0.4367 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9726 - val_loss: 0.4768 - val_categorical_accuracy: 0.8954 - 404ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9736 - val_loss: 0.4656 - val_categorical_accuracy: 0.9014 - 430ms/epoch - 9ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.1531 - categorical_accuracy: 0.9508 - val_loss: 0.4151 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9748 - val_loss: 0.4398 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9761 - val_loss: 0.4588 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4415 - val_categorical_accuracy: 0.9075 - 404ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9740 - val_loss: 0.4582 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9748 - val_loss: 0.4848 - val_categorical_accuracy: 0.8949 - 410ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9708 - val_loss: 0.4631 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9740 - val_loss: 0.4700 - val_categorical_accuracy: 0.9002 - 390ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9750 - val_loss: 0.4587 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9702 - val_loss: 0.5663 - val_categorical_accuracy: 0.8790 - 390ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.1371 - categorical_accuracy: 0.9583 - val_loss: 0.4449 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9754 - val_loss: 0.4536 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9752 - val_loss: 0.4489 - val_categorical_accuracy: 0.9081 - 420ms/epoch - 9ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.2194 - categorical_accuracy: 0.9389 - val_loss: 0.4352 - val_categorical_accuracy: 0.9029 - 414ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9744 - val_loss: 0.4523 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9706 - val_loss: 1.1752 - val_categorical_accuracy: 0.8308 - 400ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.1153 - categorical_accuracy: 0.9634 - val_loss: 0.4415 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9738 - val_loss: 0.4689 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9750 - val_loss: 0.4620 - val_categorical_accuracy: 0.9027 - 394ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9734 - val_loss: 0.4485 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9758 - val_loss: 0.4655 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9725 - val_loss: 0.4725 - val_categorical_accuracy: 0.9037 - 410ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.4909 - val_categorical_accuracy: 0.8985 - 430ms/epoch - 9ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.2337 - categorical_accuracy: 0.9374 - val_loss: 0.4196 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9738 - val_loss: 0.4275 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9752 - val_loss: 0.4402 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9717 - val_loss: 0.4329 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9767 - val_loss: 0.4373 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9759 - val_loss: 0.5076 - val_categorical_accuracy: 0.8923 - 394ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.2398 - categorical_accuracy: 0.9356 - val_loss: 0.4183 - val_categorical_accuracy: 0.9024 - 420ms/epoch - 9ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9748 - val_loss: 0.4443 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9753 - val_loss: 0.4465 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9740 - val_loss: 0.4484 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9763 - val_loss: 0.4468 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.1838 - categorical_accuracy: 0.9485 - val_loss: 0.4049 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9751 - val_loss: 0.4295 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9757 - val_loss: 0.4624 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9754 - val_loss: 0.4604 - val_categorical_accuracy: 0.9032 - 410ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9754 - val_loss: 0.4567 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9757 - val_loss: 0.4551 - val_categorical_accuracy: 0.9053 - 410ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9744 - val_loss: 0.4484 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9743 - val_loss: 0.4546 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9746 - val_loss: 0.4684 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9724 - val_loss: 0.4920 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9758 - val_loss: 0.4771 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9751 - val_loss: 0.4512 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9771 - val_loss: 0.4850 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.5163 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.2341 - categorical_accuracy: 0.9377 - val_loss: 0.4220 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9756 - val_loss: 0.4419 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9757 - val_loss: 0.4785 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9759 - val_loss: 0.4458 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9752 - val_loss: 0.4716 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9757 - val_loss: 0.4631 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.2446 - categorical_accuracy: 0.9349 - val_loss: 0.4515 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9758 - val_loss: 0.4617 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9740 - val_loss: 0.4525 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9761 - val_loss: 0.4514 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9760 - val_loss: 0.4920 - val_categorical_accuracy: 0.8942 - 410ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9760 - val_loss: 0.4831 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9734 - val_loss: 0.4852 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.5139 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9718 - val_loss: 0.4778 - val_categorical_accuracy: 0.9002 - 400ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.1382 - categorical_accuracy: 0.9591 - val_loss: 0.4500 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9737 - val_loss: 0.4675 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9764 - val_loss: 0.4584 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9757 - val_loss: 0.4797 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.4535 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.1342 - categorical_accuracy: 0.9611 - val_loss: 1.0430 - val_categorical_accuracy: 0.7907 - 430ms/epoch - 9ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.1191 - categorical_accuracy: 0.9614 - val_loss: 0.4470 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9766 - val_loss: 0.4504 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9767 - val_loss: 0.4430 - val_categorical_accuracy: 0.9100 - 400ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9763 - val_loss: 0.4549 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9766 - val_loss: 0.4764 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9717 - val_loss: 0.4505 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9771 - val_loss: 0.5043 - val_categorical_accuracy: 0.8936 - 400ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9746 - val_loss: 0.4672 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.1819 - categorical_accuracy: 0.9571 - val_loss: 3.1462 - val_categorical_accuracy: 0.4995 - 400ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.2752 - categorical_accuracy: 0.9199 - val_loss: 0.4220 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9738 - val_loss: 0.4345 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9762 - val_loss: 0.4479 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9765 - val_loss: 0.4365 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9773 - val_loss: 0.4519 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9774 - val_loss: 0.4505 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9750 - val_loss: 0.4676 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9763 - val_loss: 0.4879 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9755 - val_loss: 0.4704 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9760 - val_loss: 0.4961 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9766 - val_loss: 0.4909 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9756 - val_loss: 0.4826 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9748 - val_loss: 0.4776 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9757 - val_loss: 0.4873 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9740 - val_loss: 0.5146 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.2232 - categorical_accuracy: 0.9433 - val_loss: 0.4665 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.4382 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9777 - val_loss: 0.4694 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9759 - val_loss: 0.4806 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9731 - val_loss: 0.5022 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9756 - val_loss: 0.4622 - val_categorical_accuracy: 0.9103 - 400ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9766 - val_loss: 0.5170 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9764 - val_loss: 0.5057 - val_categorical_accuracy: 0.9011 - 420ms/epoch - 9ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9752 - val_loss: 0.5013 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9765 - val_loss: 0.5058 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9772 - val_loss: 0.5137 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9754 - val_loss: 0.4810 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9765 - val_loss: 0.4855 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9744 - val_loss: 1.4133 - val_categorical_accuracy: 0.7499 - 390ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.3208 - categorical_accuracy: 0.9226 - val_loss: 0.4394 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9764 - val_loss: 0.5057 - val_categorical_accuracy: 0.8878 - 400ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0718 - categorical_accuracy: 0.9747 - val_loss: 0.4896 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9750 - val_loss: 0.4639 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9764 - val_loss: 0.4791 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9755 - val_loss: 0.5262 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9742 - val_loss: 0.4813 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9752 - val_loss: 0.4833 - val_categorical_accuracy: 0.9054 - 410ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9763 - val_loss: 0.5456 - val_categorical_accuracy: 0.8858 - 410ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.2567 - categorical_accuracy: 0.9339 - val_loss: 0.4547 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9758 - val_loss: 0.4744 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9769 - val_loss: 0.4861 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9778 - val_loss: 0.4530 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9772 - val_loss: 0.4841 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0689 - categorical_accuracy: 0.9748 - val_loss: 0.4915 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9765 - val_loss: 0.4874 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9770 - val_loss: 0.4777 - val_categorical_accuracy: 0.9022 - 410ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9769 - val_loss: 0.4877 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9764 - val_loss: 0.5402 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.2382 - categorical_accuracy: 0.9358 - val_loss: 0.4729 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9772 - val_loss: 0.4546 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9772 - val_loss: 0.4687 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9772 - val_loss: 0.4918 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9769 - val_loss: 0.5378 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9758 - val_loss: 0.4768 - val_categorical_accuracy: 0.9087 - 410ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9765 - val_loss: 0.5105 - val_categorical_accuracy: 0.8992 - 418ms/epoch - 9ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9734 - val_loss: 0.5114 - val_categorical_accuracy: 0.9027 - 394ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9747 - val_loss: 0.4816 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9771 - val_loss: 0.6294 - val_categorical_accuracy: 0.8746 - 400ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9540 - val_loss: 0.4629 - val_categorical_accuracy: 0.9028 - 394ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9766 - val_loss: 0.4613 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9774 - val_loss: 0.4822 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9771 - val_loss: 0.5209 - val_categorical_accuracy: 0.8947 - 400ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9771 - val_loss: 0.4794 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9776 - val_loss: 0.4889 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.2588 - categorical_accuracy: 0.9301 - val_loss: 0.4611 - val_categorical_accuracy: 0.8984 - 410ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9762 - val_loss: 0.4556 - val_categorical_accuracy: 0.9051 - 404ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9783 - val_loss: 0.4468 - val_categorical_accuracy: 0.9114 - 400ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9774 - val_loss: 0.4584 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9792 - val_loss: 0.4871 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9751 - val_loss: 0.4809 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9778 - val_loss: 0.5061 - val_categorical_accuracy: 0.9045 - 394ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9771 - val_loss: 0.4910 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9773 - val_loss: 0.5506 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9744 - val_loss: 0.4737 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.5180 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.2272 - categorical_accuracy: 0.9364 - val_loss: 0.4377 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9775 - val_loss: 0.4906 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9733 - val_loss: 0.4645 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.4731 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9775 - val_loss: 0.4819 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9777 - val_loss: 0.5255 - val_categorical_accuracy: 0.8903 - 390ms/epoch - 8ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9752 - val_loss: 0.4965 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9763 - val_loss: 0.5026 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9776 - val_loss: 0.4884 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9755 - val_loss: 0.6107 - val_categorical_accuracy: 0.8813 - 440ms/epoch - 9ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.1819 - categorical_accuracy: 0.9479 - val_loss: 0.4584 - val_categorical_accuracy: 0.9068 - 394ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9787 - val_loss: 0.5001 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9774 - val_loss: 0.4745 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9774 - val_loss: 0.4793 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9753 - val_loss: 0.4721 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9778 - val_loss: 0.5408 - val_categorical_accuracy: 0.8957 - 394ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9734 - val_loss: 0.5007 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 1s - loss: 0.0679 - categorical_accuracy: 0.9762 - val_loss: 0.4883 - val_categorical_accuracy: 0.9047 - 590ms/epoch - 12ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9784 - val_loss: 0.5139 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9473 - val_loss: 0.4504 - val_categorical_accuracy: 0.9063 - 404ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9787 - val_loss: 0.4687 - val_categorical_accuracy: 0.9116 - 396ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9782 - val_loss: 0.4845 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9766 - val_loss: 0.4701 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9767 - val_loss: 0.5024 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9765 - val_loss: 0.5304 - val_categorical_accuracy: 0.9000 - 404ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9765 - val_loss: 0.5337 - val_categorical_accuracy: 0.8963 - 396ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9766 - val_loss: 0.5008 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9750 - val_loss: 0.5166 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9775 - val_loss: 0.5216 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9777 - val_loss: 0.4993 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9765 - val_loss: 0.5405 - val_categorical_accuracy: 0.8938 - 392ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.2556 - categorical_accuracy: 0.9346 - val_loss: 0.4587 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9773 - val_loss: 0.5134 - val_categorical_accuracy: 0.8917 - 440ms/epoch - 9ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9760 - val_loss: 0.5017 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9778 - val_loss: 0.4860 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9788 - val_loss: 0.5023 - val_categorical_accuracy: 0.9033 - 396ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9756 - val_loss: 0.6894 - val_categorical_accuracy: 0.8726 - 400ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.2649 - categorical_accuracy: 0.9345 - val_loss: 0.4405 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9779 - val_loss: 0.4550 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9766 - val_loss: 0.4907 - val_categorical_accuracy: 0.9012 - 394ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9786 - val_loss: 0.4894 - val_categorical_accuracy: 0.9040 - 406ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.4928 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9779 - val_loss: 0.5013 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9768 - val_loss: 0.5268 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9773 - val_loss: 0.5252 - val_categorical_accuracy: 0.8940 - 394ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9777 - val_loss: 0.4925 - val_categorical_accuracy: 0.9067 - 406ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9760 - val_loss: 0.4904 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.4881 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9784 - val_loss: 0.5229 - val_categorical_accuracy: 0.9020 - 420ms/epoch - 9ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9768 - val_loss: 0.4936 - val_categorical_accuracy: 0.9052 - 394ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9781 - val_loss: 0.5573 - val_categorical_accuracy: 0.8970 - 406ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.2860 - categorical_accuracy: 0.9279 - val_loss: 0.4591 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9768 - val_loss: 0.4638 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9777 - val_loss: 0.4676 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9777 - val_loss: 0.4994 - val_categorical_accuracy: 0.9009 - 394ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9780 - val_loss: 0.5056 - val_categorical_accuracy: 0.9017 - 406ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9778 - val_loss: 0.5026 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9782 - val_loss: 0.4909 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9772 - val_loss: 0.5381 - val_categorical_accuracy: 0.8923 - 394ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9753 - val_loss: 0.7575 - val_categorical_accuracy: 0.8550 - 404ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.1469 - categorical_accuracy: 0.9568 - val_loss: 0.4772 - val_categorical_accuracy: 0.9061 - 396ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9788 - val_loss: 0.5020 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9783 - val_loss: 0.5022 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.5089 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9778 - val_loss: 0.5072 - val_categorical_accuracy: 0.9034 - 404ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9785 - val_loss: 0.5509 - val_categorical_accuracy: 0.8955 - 396ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9701 - val_loss: 0.6661 - val_categorical_accuracy: 0.8718 - 400ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.1663 - categorical_accuracy: 0.9533 - val_loss: 0.4712 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9779 - val_loss: 0.4730 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9793 - val_loss: 0.4952 - val_categorical_accuracy: 0.9051 - 394ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9777 - val_loss: 0.5075 - val_categorical_accuracy: 0.9004 - 396ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0695 - categorical_accuracy: 0.9758 - val_loss: 0.5282 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.1821 - categorical_accuracy: 0.9472 - val_loss: 0.4669 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9780 - val_loss: 0.4720 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9775 - val_loss: 0.4751 - val_categorical_accuracy: 0.9087 - 404ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9781 - val_loss: 0.5158 - val_categorical_accuracy: 0.8948 - 396ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9786 - val_loss: 0.4885 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9779 - val_loss: 0.4966 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9785 - val_loss: 0.5077 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9786 - val_loss: 0.5166 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9774 - val_loss: 0.5288 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9773 - val_loss: 0.5458 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9779 - val_loss: 0.5073 - val_categorical_accuracy: 0.9068 - 420ms/epoch - 9ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.1630 - categorical_accuracy: 0.9568 - val_loss: 0.6256 - val_categorical_accuracy: 0.8586 - 400ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9720 - val_loss: 0.5041 - val_categorical_accuracy: 0.8974 - 404ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9770 - val_loss: 0.5079 - val_categorical_accuracy: 0.9064 - 396ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9778 - val_loss: 0.4792 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9794 - val_loss: 0.5027 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9775 - val_loss: 0.5137 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9699 - val_loss: 0.4913 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9786 - val_loss: 0.5435 - val_categorical_accuracy: 0.8940 - 398ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9782 - val_loss: 0.5156 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9761 - val_loss: 0.5327 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9468 - val_loss: 0.4585 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9779 - val_loss: 0.4784 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9795 - val_loss: 0.5035 - val_categorical_accuracy: 0.9059 - 398ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9783 - val_loss: 0.5112 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9758 - val_loss: 0.5551 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9774 - val_loss: 0.5491 - val_categorical_accuracy: 0.8945 - 400ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9762 - val_loss: 0.4932 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9785 - val_loss: 0.5821 - val_categorical_accuracy: 0.8925 - 402ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.2121 - categorical_accuracy: 0.9432 - val_loss: 0.4625 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9789 - val_loss: 0.4738 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.4820 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.4930 - val_categorical_accuracy: 0.9084 - 404ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9785 - val_loss: 0.4875 - val_categorical_accuracy: 0.9101 - 406ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9710 - val_loss: 0.5006 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9783 - val_loss: 0.5040 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9773 - val_loss: 0.5075 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.5010 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9772 - val_loss: 0.5128 - val_categorical_accuracy: 0.9056 - 392ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5388 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9765 - val_loss: 0.5306 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9780 - val_loss: 0.5130 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5575 - val_categorical_accuracy: 0.8970 - 424ms/epoch - 9ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.1562 - categorical_accuracy: 0.9566 - val_loss: 0.5099 - val_categorical_accuracy: 0.9049 - 396ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9761 - val_loss: 0.5472 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9779 - val_loss: 0.5025 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9788 - val_loss: 0.5331 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9775 - val_loss: 0.5511 - val_categorical_accuracy: 0.8953 - 404ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.5533 - val_categorical_accuracy: 0.8907 - 396ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.2286 - categorical_accuracy: 0.9404 - val_loss: 0.4699 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9782 - val_loss: 0.5092 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9794 - val_loss: 0.5375 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9791 - val_loss: 0.4992 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.5055 - val_categorical_accuracy: 0.9053 - 392ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9783 - val_loss: 0.5153 - val_categorical_accuracy: 0.9066 - 410ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9784 - val_loss: 0.5129 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9778 - val_loss: 0.5627 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9780 - val_loss: 0.5003 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5191 - val_categorical_accuracy: 0.9074 - 392ms/epoch - 8ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9791 - val_loss: 0.5307 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.3138 - categorical_accuracy: 0.9247 - val_loss: 0.4534 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9779 - val_loss: 0.4709 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9791 - val_loss: 0.4896 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9790 - val_loss: 0.4893 - val_categorical_accuracy: 0.9047 - 425ms/epoch - 9ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9795 - val_loss: 0.4942 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9736 - val_loss: 0.4954 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.5079 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9773 - val_loss: 0.5052 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9792 - val_loss: 0.5221 - val_categorical_accuracy: 0.9006 - 396ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9791 - val_loss: 0.5078 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9525 - val_loss: 0.4697 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9774 - val_loss: 0.5131 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9788 - val_loss: 0.5250 - val_categorical_accuracy: 0.8984 - 404ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.1165 - categorical_accuracy: 0.9613 - val_loss: 0.4787 - val_categorical_accuracy: 0.9111 - 396ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9793 - val_loss: 0.5273 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9786 - val_loss: 0.5031 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9793 - val_loss: 0.5024 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9793 - val_loss: 0.4972 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9788 - val_loss: 0.5267 - val_categorical_accuracy: 0.9029 - 404ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9779 - val_loss: 0.6162 - val_categorical_accuracy: 0.8803 - 400ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.1977 - categorical_accuracy: 0.9484 - val_loss: 0.4757 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9779 - val_loss: 0.4917 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9789 - val_loss: 0.5116 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9786 - val_loss: 0.5306 - val_categorical_accuracy: 0.8987 - 425ms/epoch - 9ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9791 - val_loss: 0.5189 - val_categorical_accuracy: 0.9067 - 410ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.5088 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9776 - val_loss: 0.5424 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9783 - val_loss: 0.5043 - val_categorical_accuracy: 0.9095 - 394ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9794 - val_loss: 0.5242 - val_categorical_accuracy: 0.9035 - 396ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5149 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9789 - val_loss: 0.5261 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9780 - val_loss: 0.5822 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.2471 - categorical_accuracy: 0.9362 - val_loss: 0.4700 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9796 - val_loss: 0.5534 - val_categorical_accuracy: 0.8907 - 402ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9782 - val_loss: 0.5088 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9792 - val_loss: 0.5060 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9803 - val_loss: 0.4999 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9797 - val_loss: 0.5217 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9790 - val_loss: 0.5031 - val_categorical_accuracy: 0.9098 - 404ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.1437 - categorical_accuracy: 0.9573 - val_loss: 0.8966 - val_categorical_accuracy: 0.8285 - 400ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.1369 - categorical_accuracy: 0.9579 - val_loss: 0.4802 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9797 - val_loss: 0.5069 - val_categorical_accuracy: 0.9045 - 420ms/epoch - 9ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.4914 - val_categorical_accuracy: 0.9086 - 394ms/epoch - 8ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9798 - val_loss: 0.5373 - val_categorical_accuracy: 0.8993 - 396ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.5192 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9792 - val_loss: 0.5325 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9789 - val_loss: 0.5118 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9781 - val_loss: 0.5494 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9775 - val_loss: 0.5344 - val_categorical_accuracy: 0.9021 - 398ms/epoch - 8ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5215 - val_categorical_accuracy: 0.9070 - 410ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9793 - val_loss: 0.5451 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9789 - val_loss: 0.5339 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9779 - val_loss: 0.5214 - val_categorical_accuracy: 0.9040 - 404ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9786 - val_loss: 0.5531 - val_categorical_accuracy: 0.9023 - 406ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.1483 - categorical_accuracy: 0.9554 - val_loss: 0.5105 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9787 - val_loss: 0.5436 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9797 - val_loss: 0.5429 - val_categorical_accuracy: 0.8976 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9785 - val_loss: 0.5431 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9792 - val_loss: 0.5594 - val_categorical_accuracy: 0.8973 - 398ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.2190 - categorical_accuracy: 0.9441 - val_loss: 0.4718 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9803 - val_loss: 0.5040 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9794 - val_loss: 0.5003 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9798 - val_loss: 0.5669 - val_categorical_accuracy: 0.8894 - 400ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9537 - val_loss: 0.4815 - val_categorical_accuracy: 0.9090 - 404ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9799 - val_loss: 0.5387 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.1507 - categorical_accuracy: 0.9566 - val_loss: 0.4770 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9800 - val_loss: 0.4835 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9801 - val_loss: 0.4927 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9801 - val_loss: 0.5268 - val_categorical_accuracy: 0.9035 - 404ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9797 - val_loss: 0.4989 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9759 - val_loss: 0.5537 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9782 - val_loss: 0.5130 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9804 - val_loss: 0.5202 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.5140 - val_categorical_accuracy: 0.9085 - 398ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9793 - val_loss: 0.5372 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9794 - val_loss: 0.5277 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9799 - val_loss: 0.5217 - val_categorical_accuracy: 0.9077 - 394ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9783 - val_loss: 0.5357 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9797 - val_loss: 0.5569 - val_categorical_accuracy: 0.8981 - 394ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.2540 - categorical_accuracy: 0.9372 - val_loss: 0.4621 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 1s - loss: 0.0577 - categorical_accuracy: 0.9796 - val_loss: 0.4934 - val_categorical_accuracy: 0.9064 - 590ms/epoch - 12ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9786 - val_loss: 0.5023 - val_categorical_accuracy: 0.9073 - 440ms/epoch - 9ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9783 - val_loss: 0.5472 - val_categorical_accuracy: 0.8928 - 405ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9778 - val_loss: 0.5185 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9813 - val_loss: 0.5084 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9795 - val_loss: 0.5502 - val_categorical_accuracy: 0.8937 - 400ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9759 - val_loss: 0.5172 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.6367 - val_categorical_accuracy: 0.8828 - 400ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.1840 - categorical_accuracy: 0.9484 - val_loss: 0.5071 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9802 - val_loss: 0.4901 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9801 - val_loss: 0.5120 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.1036 - categorical_accuracy: 0.9662 - val_loss: 0.5031 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9806 - val_loss: 0.5002 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9812 - val_loss: 0.5069 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9790 - val_loss: 0.5937 - val_categorical_accuracy: 0.8928 - 400ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9783 - val_loss: 0.5333 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9797 - val_loss: 0.5306 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9802 - val_loss: 0.5469 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.5183 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9799 - val_loss: 0.5463 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9799 - val_loss: 0.5380 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9792 - val_loss: 0.5646 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9792 - val_loss: 0.5609 - val_categorical_accuracy: 0.9056 - 394ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.2260 - categorical_accuracy: 0.9429 - val_loss: 0.4858 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9792 - val_loss: 0.5151 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9787 - val_loss: 0.5691 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9785 - val_loss: 0.5249 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9783 - val_loss: 0.5499 - val_categorical_accuracy: 0.9001 - 395ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5130 - val_categorical_accuracy: 0.9087 - 410ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9803 - val_loss: 0.5212 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9793 - val_loss: 0.5120 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9808 - val_loss: 0.5303 - val_categorical_accuracy: 0.9079 - 410ms/epoch - 8ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9789 - val_loss: 0.5302 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5357 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9800 - val_loss: 0.5699 - val_categorical_accuracy: 0.8941 - 400ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.1765 - categorical_accuracy: 0.9493 - val_loss: 0.5350 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9785 - val_loss: 0.5418 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5219 - val_categorical_accuracy: 0.9081 - 394ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9800 - val_loss: 0.5603 - val_categorical_accuracy: 0.8941 - 400ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9781 - val_loss: 0.5500 - val_categorical_accuracy: 0.9010 - 410ms/epoch - 8ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9808 - val_loss: 0.5325 - val_categorical_accuracy: 0.9047 - 420ms/epoch - 9ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9793 - val_loss: 0.5651 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9782 - val_loss: 0.5278 - val_categorical_accuracy: 0.9090 - 395ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9804 - val_loss: 0.5398 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9800 - val_loss: 0.5531 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9779 - val_loss: 0.5384 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.5467 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9801 - val_loss: 0.5371 - val_categorical_accuracy: 0.9085 - 410ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.2631 - categorical_accuracy: 0.9384 - val_loss: 0.5596 - val_categorical_accuracy: 0.8550 - 400ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0941 - categorical_accuracy: 0.9665 - val_loss: 0.4950 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9790 - val_loss: 0.5390 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9785 - val_loss: 0.5293 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9805 - val_loss: 0.5103 - val_categorical_accuracy: 0.9051 - 394ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9799 - val_loss: 0.5550 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9788 - val_loss: 0.5754 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9803 - val_loss: 0.5706 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9805 - val_loss: 0.5413 - val_categorical_accuracy: 0.9045 - 410ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9787 - val_loss: 0.5352 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9808 - val_loss: 0.5739 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9777 - val_loss: 0.5697 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9793 - val_loss: 0.5729 - val_categorical_accuracy: 0.8944 - 400ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9790 - val_loss: 0.5978 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9780 - val_loss: 0.5766 - val_categorical_accuracy: 0.8979 - 405ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9596 - val_loss: 0.5231 - val_categorical_accuracy: 0.9042 - 405ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.5365 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9809 - val_loss: 0.5313 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9794 - val_loss: 0.5733 - val_categorical_accuracy: 0.8986 - 397ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9792 - val_loss: 0.6164 - val_categorical_accuracy: 0.8860 - 400ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.1877 - categorical_accuracy: 0.9483 - val_loss: 0.5146 - val_categorical_accuracy: 0.8998 - 405ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9802 - val_loss: 0.5311 - val_categorical_accuracy: 0.9008 - 394ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9806 - val_loss: 0.5380 - val_categorical_accuracy: 0.9033 - 396ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9795 - val_loss: 0.5362 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9791 - val_loss: 0.5784 - val_categorical_accuracy: 0.8925 - 395ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.1505 - categorical_accuracy: 0.9563 - val_loss: 0.5216 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9801 - val_loss: 0.5096 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9808 - val_loss: 0.5395 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9810 - val_loss: 0.5135 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5345 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9811 - val_loss: 0.5657 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9793 - val_loss: 0.5383 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9802 - val_loss: 0.5481 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9797 - val_loss: 0.5437 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.5498 - val_categorical_accuracy: 0.9069 - 405ms/epoch - 8ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9807 - val_loss: 0.5418 - val_categorical_accuracy: 0.9099 - 430ms/epoch - 9ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9804 - val_loss: 0.5538 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9796 - val_loss: 0.5902 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9788 - val_loss: 0.5645 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9805 - val_loss: 0.5674 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9792 - val_loss: 0.5686 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.1678 - categorical_accuracy: 0.9534 - val_loss: 0.5201 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.5461 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5638 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9799 - val_loss: 0.5354 - val_categorical_accuracy: 0.9068 - 394ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9786 - val_loss: 0.5503 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9809 - val_loss: 0.5651 - val_categorical_accuracy: 0.9047 - 410ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9805 - val_loss: 0.6272 - val_categorical_accuracy: 0.8884 - 400ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.2661 - categorical_accuracy: 0.9346 - val_loss: 0.4882 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9798 - val_loss: 0.5407 - val_categorical_accuracy: 0.9032 - 404ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9796 - val_loss: 0.5237 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9812 - val_loss: 0.5317 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9803 - val_loss: 0.5502 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9797 - val_loss: 0.5439 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5503 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9803 - val_loss: 0.5568 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9792 - val_loss: 0.5689 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9789 - val_loss: 0.5430 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9803 - val_loss: 0.5448 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5429 - val_categorical_accuracy: 0.9107 - 400ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9810 - val_loss: 0.5715 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.5667 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9798 - val_loss: 0.5538 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9809 - val_loss: 0.5608 - val_categorical_accuracy: 0.9049 - 410ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9793 - val_loss: 0.5627 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9794 - val_loss: 0.6163 - val_categorical_accuracy: 0.8943 - 400ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9792 - val_loss: 0.5626 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9815 - val_loss: 0.5692 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.2855 - categorical_accuracy: 0.9328 - val_loss: 0.5583 - val_categorical_accuracy: 0.8849 - 400ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9769 - val_loss: 0.5149 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9802 - val_loss: 0.5381 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9814 - val_loss: 0.5279 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9809 - val_loss: 0.5458 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9781 - val_loss: 0.5366 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0521 - categorical_accuracy: 0.9810 - val_loss: 0.5581 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9809 - val_loss: 0.5416 - val_categorical_accuracy: 0.9111 - 400ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9812 - val_loss: 0.5585 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9817 - val_loss: 0.5635 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9819 - val_loss: 0.5675 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9763 - val_loss: 0.5716 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.2204 - categorical_accuracy: 0.9505 - val_loss: 0.5457 - val_categorical_accuracy: 0.8539 - 400ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9681 - val_loss: 0.5051 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9812 - val_loss: 0.5186 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.5517 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9805 - val_loss: 0.5710 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.1025 - categorical_accuracy: 0.9680 - val_loss: 0.5334 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9802 - val_loss: 0.5351 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9803 - val_loss: 0.5475 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9803 - val_loss: 0.5390 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.5675 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9807 - val_loss: 0.5636 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9796 - val_loss: 0.6408 - val_categorical_accuracy: 0.8857 - 400ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9778 - val_loss: 0.5567 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.5434 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0486 - categorical_accuracy: 0.9817 - val_loss: 0.5665 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9797 - val_loss: 0.5612 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9790 - val_loss: 0.5911 - val_categorical_accuracy: 0.8986 - 430ms/epoch - 9ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9792 - val_loss: 0.6006 - val_categorical_accuracy: 0.8905 - 400ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9791 - val_loss: 0.5726 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9806 - val_loss: 0.6098 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9801 - val_loss: 0.5809 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9786 - val_loss: 0.5688 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9783 - val_loss: 0.6147 - val_categorical_accuracy: 0.8936 - 400ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.1689 - categorical_accuracy: 0.9550 - val_loss: 0.6098 - val_categorical_accuracy: 0.8868 - 400ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9777 - val_loss: 0.5246 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9807 - val_loss: 0.5582 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9813 - val_loss: 0.5988 - val_categorical_accuracy: 0.8967 - 400ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9787 - val_loss: 0.5562 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9805 - val_loss: 0.5604 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9807 - val_loss: 0.5686 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9803 - val_loss: 0.5918 - val_categorical_accuracy: 0.9002 - 420ms/epoch - 9ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9799 - val_loss: 0.5646 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9812 - val_loss: 0.5960 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9802 - val_loss: 0.5862 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9811 - val_loss: 0.5992 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.2113 - categorical_accuracy: 0.9465 - val_loss: 0.5074 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9791 - val_loss: 0.5338 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9819 - val_loss: 0.5404 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9810 - val_loss: 0.5469 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9817 - val_loss: 0.5535 - val_categorical_accuracy: 0.9082 - 410ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5804 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9814 - val_loss: 0.5636 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9800 - val_loss: 0.5566 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9818 - val_loss: 0.5644 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9813 - val_loss: 0.5910 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.3014 - categorical_accuracy: 0.9293 - val_loss: 0.5070 - val_categorical_accuracy: 0.8894 - 400ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9770 - val_loss: 0.5096 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9816 - val_loss: 0.5132 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9810 - val_loss: 0.5350 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9817 - val_loss: 0.5312 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9817 - val_loss: 0.5835 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9814 - val_loss: 0.5406 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9808 - val_loss: 0.5615 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9797 - val_loss: 0.5502 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5527 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9816 - val_loss: 0.5722 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9799 - val_loss: 0.5883 - val_categorical_accuracy: 0.8974 - 420ms/epoch - 9ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9802 - val_loss: 0.5713 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9815 - val_loss: 0.5949 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9775 - val_loss: 0.5723 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9794 - val_loss: 0.5758 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9816 - val_loss: 0.5856 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9759 - val_loss: 0.5822 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9801 - val_loss: 0.5795 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9816 - val_loss: 0.5710 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9807 - val_loss: 0.5822 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9756 - val_loss: 0.5818 - val_categorical_accuracy: 0.9047 - 430ms/epoch - 9ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9801 - val_loss: 0.5982 - val_categorical_accuracy: 0.8973 - 420ms/epoch - 9ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9814 - val_loss: 0.6062 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5777 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9807 - val_loss: 0.5806 - val_categorical_accuracy: 0.9049 - 390ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9801 - val_loss: 0.5991 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9815 - val_loss: 0.5832 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.2804 - categorical_accuracy: 0.9330 - val_loss: 0.5013 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9795 - val_loss: 0.5373 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.5392 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0486 - categorical_accuracy: 0.9827 - val_loss: 0.5395 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0495 - categorical_accuracy: 0.9820 - val_loss: 0.5686 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9816 - val_loss: 0.5790 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9804 - val_loss: 0.5621 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9816 - val_loss: 0.5894 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9812 - val_loss: 0.5861 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0485 - categorical_accuracy: 0.9824 - val_loss: 0.5834 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9802 - val_loss: 0.6061 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9768 - val_loss: 0.5953 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9782 - val_loss: 0.5815 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9818 - val_loss: 0.5840 - val_categorical_accuracy: 0.9056 - 420ms/epoch - 9ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.1496 - categorical_accuracy: 0.9587 - val_loss: 0.5543 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9809 - val_loss: 0.5409 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9812 - val_loss: 0.5584 - val_categorical_accuracy: 0.9068 - 404ms/epoch - 8ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9818 - val_loss: 0.5873 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9808 - val_loss: 0.5712 - val_categorical_accuracy: 0.9055 - 404ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9823 - val_loss: 0.5562 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9815 - val_loss: 0.5846 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9805 - val_loss: 0.5834 - val_categorical_accuracy: 0.9044 - 394ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9801 - val_loss: 0.5762 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0477 - categorical_accuracy: 0.9827 - val_loss: 0.6234 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9806 - val_loss: 0.5891 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9778 - val_loss: 0.6087 - val_categorical_accuracy: 0.9031 - 400ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9772 - val_loss: 0.5974 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9804 - val_loss: 0.6128 - val_categorical_accuracy: 0.8971 - 430ms/epoch - 9ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9794 - val_loss: 0.5860 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.1678 - categorical_accuracy: 0.9547 - val_loss: 0.5461 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9799 - val_loss: 0.5547 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9812 - val_loss: 0.5895 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9802 - val_loss: 0.6399 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.1915 - categorical_accuracy: 0.9534 - val_loss: 0.5219 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9817 - val_loss: 0.5425 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.5643 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0483 - categorical_accuracy: 0.9825 - val_loss: 0.5724 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9818 - val_loss: 0.5958 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9816 - val_loss: 0.5665 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9819 - val_loss: 0.5964 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9808 - val_loss: 0.5924 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9808 - val_loss: 0.5902 - val_categorical_accuracy: 0.9035 - 424ms/epoch - 9ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9817 - val_loss: 0.5909 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9803 - val_loss: 0.6671 - val_categorical_accuracy: 0.8817 - 400ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9504 - val_loss: 0.5450 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9824 - val_loss: 0.5546 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9824 - val_loss: 0.5513 - val_categorical_accuracy: 0.9082 - 394ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9821 - val_loss: 0.5720 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9822 - val_loss: 0.5643 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 1476/1500
49/49 - 1s - loss: 0.0478 - categorical_accuracy: 0.9823 - val_loss: 0.5752 - val_categorical_accuracy: 0.9059 - 580ms/epoch - 12ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9804 - val_loss: 0.5824 - val_categorical_accuracy: 0.9023 - 440ms/epoch - 9ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9774 - val_loss: 0.6226 - val_categorical_accuracy: 0.8990 - 405ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.1845 - categorical_accuracy: 0.9530 - val_loss: 0.5739 - val_categorical_accuracy: 0.8645 - 400ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9715 - val_loss: 0.5217 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9821 - val_loss: 0.5415 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9823 - val_loss: 0.5413 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9824 - val_loss: 0.5596 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9812 - val_loss: 0.6134 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9817 - val_loss: 0.5649 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9817 - val_loss: 0.5586 - val_categorical_accuracy: 0.9097 - 400ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0492 - categorical_accuracy: 0.9820 - val_loss: 0.6155 - val_categorical_accuracy: 0.8933 - 400ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.1688 - categorical_accuracy: 0.9523 - val_loss: 0.5289 - val_categorical_accuracy: 0.9055 - 395ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9817 - val_loss: 0.5511 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0476 - categorical_accuracy: 0.9825 - val_loss: 0.5622 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0483 - categorical_accuracy: 0.9822 - val_loss: 0.6222 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9785 - val_loss: 0.5590 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0472 - categorical_accuracy: 0.9830 - val_loss: 0.5879 - val_categorical_accuracy: 0.9002 - 395ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.5795 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9794 - val_loss: 0.5644 - val_categorical_accuracy: 0.9069 - 420ms/epoch - 9ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0485 - categorical_accuracy: 0.9820 - val_loss: 0.5805 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0492 - categorical_accuracy: 0.9819 - val_loss: 0.5998 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9813 - val_loss: 0.5828 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.5686 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9810 - val_loss: 0.5883 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
processing fold # 9 
Epoch 1/1500

WARNING:tensorflow:Callback method `on_train_batch_end` is slow compared to the batch time (batch time: 0.0020s vs `on_train_batch_end` time: 0.0033s). Check your callbacks.

49/49 - 1s - loss: 1.9187 - categorical_accuracy: 0.3482 - val_loss: 1.8735 - val_categorical_accuracy: 0.3644 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8611 - categorical_accuracy: 0.3636 - val_loss: 1.8450 - val_categorical_accuracy: 0.3644 - 390ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8277 - categorical_accuracy: 0.3636 - val_loss: 1.8028 - val_categorical_accuracy: 0.3644 - 390ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7701 - categorical_accuracy: 0.3690 - val_loss: 1.7435 - val_categorical_accuracy: 0.4168 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.7075 - categorical_accuracy: 0.4051 - val_loss: 1.6543 - val_categorical_accuracy: 0.3996 - 440ms/epoch - 9ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.6314 - categorical_accuracy: 0.4465 - val_loss: 1.5170 - val_categorical_accuracy: 0.4920 - 430ms/epoch - 9ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5503 - categorical_accuracy: 0.4687 - val_loss: 1.5388 - val_categorical_accuracy: 0.4778 - 400ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4746 - categorical_accuracy: 0.4926 - val_loss: 1.5038 - val_categorical_accuracy: 0.4718 - 400ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.4093 - categorical_accuracy: 0.5085 - val_loss: 1.4933 - val_categorical_accuracy: 0.4672 - 400ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3691 - categorical_accuracy: 0.5227 - val_loss: 1.2604 - val_categorical_accuracy: 0.5618 - 390ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3208 - categorical_accuracy: 0.5363 - val_loss: 1.2341 - val_categorical_accuracy: 0.5708 - 390ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.2785 - categorical_accuracy: 0.5505 - val_loss: 1.2541 - val_categorical_accuracy: 0.5507 - 410ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2495 - categorical_accuracy: 0.5600 - val_loss: 1.2282 - val_categorical_accuracy: 0.5530 - 390ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2199 - categorical_accuracy: 0.5656 - val_loss: 1.1425 - val_categorical_accuracy: 0.5903 - 400ms/epoch - 8ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.1891 - categorical_accuracy: 0.5779 - val_loss: 1.1009 - val_categorical_accuracy: 0.6129 - 394ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.1592 - categorical_accuracy: 0.5872 - val_loss: 1.0841 - val_categorical_accuracy: 0.6134 - 400ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1495 - categorical_accuracy: 0.5921 - val_loss: 1.0393 - val_categorical_accuracy: 0.6461 - 420ms/epoch - 9ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.0843 - categorical_accuracy: 0.6114 - val_loss: 1.0265 - val_categorical_accuracy: 0.6370 - 394ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.0908 - categorical_accuracy: 0.6114 - val_loss: 0.9938 - val_categorical_accuracy: 0.6459 - 406ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.0741 - categorical_accuracy: 0.6192 - val_loss: 1.1025 - val_categorical_accuracy: 0.5946 - 404ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0476 - categorical_accuracy: 0.6233 - val_loss: 0.9555 - val_categorical_accuracy: 0.6653 - 400ms/epoch - 8ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.0701 - categorical_accuracy: 0.6216 - val_loss: 0.9316 - val_categorical_accuracy: 0.6723 - 390ms/epoch - 8ms/step
Epoch 23/1500
49/49 - 0s - loss: 0.9863 - categorical_accuracy: 0.6433 - val_loss: 1.0471 - val_categorical_accuracy: 0.6162 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 1.0045 - categorical_accuracy: 0.6379 - val_loss: 0.8900 - val_categorical_accuracy: 0.6874 - 410ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 0.9543 - categorical_accuracy: 0.6545 - val_loss: 0.9094 - val_categorical_accuracy: 0.6760 - 390ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9645 - categorical_accuracy: 0.6527 - val_loss: 0.9598 - val_categorical_accuracy: 0.6478 - 390ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 0.9291 - categorical_accuracy: 0.6624 - val_loss: 0.9335 - val_categorical_accuracy: 0.6661 - 390ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9074 - categorical_accuracy: 0.6717 - val_loss: 0.8529 - val_categorical_accuracy: 0.6925 - 430ms/epoch - 9ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9153 - categorical_accuracy: 0.6663 - val_loss: 0.9018 - val_categorical_accuracy: 0.6739 - 400ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.8732 - categorical_accuracy: 0.6821 - val_loss: 0.9077 - val_categorical_accuracy: 0.6584 - 400ms/epoch - 8ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.9613 - categorical_accuracy: 0.6627 - val_loss: 0.8604 - val_categorical_accuracy: 0.6863 - 400ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.8395 - categorical_accuracy: 0.6952 - val_loss: 0.8090 - val_categorical_accuracy: 0.7116 - 400ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8576 - categorical_accuracy: 0.6877 - val_loss: 0.7911 - val_categorical_accuracy: 0.7109 - 400ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8795 - categorical_accuracy: 0.6827 - val_loss: 0.7955 - val_categorical_accuracy: 0.7093 - 390ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8274 - categorical_accuracy: 0.6964 - val_loss: 0.8136 - val_categorical_accuracy: 0.7009 - 394ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.7901 - categorical_accuracy: 0.7069 - val_loss: 0.8644 - val_categorical_accuracy: 0.6786 - 400ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8912 - categorical_accuracy: 0.6811 - val_loss: 0.7556 - val_categorical_accuracy: 0.7260 - 390ms/epoch - 8ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.7818 - categorical_accuracy: 0.7104 - val_loss: 0.9203 - val_categorical_accuracy: 0.6561 - 400ms/epoch - 8ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.7803 - categorical_accuracy: 0.7114 - val_loss: 0.7592 - val_categorical_accuracy: 0.7244 - 420ms/epoch - 9ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.8000 - categorical_accuracy: 0.7062 - val_loss: 0.7359 - val_categorical_accuracy: 0.7297 - 400ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.7679 - categorical_accuracy: 0.7156 - val_loss: 0.7993 - val_categorical_accuracy: 0.7002 - 390ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7635 - categorical_accuracy: 0.7185 - val_loss: 0.9678 - val_categorical_accuracy: 0.6572 - 400ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7367 - categorical_accuracy: 0.7272 - val_loss: 0.7437 - val_categorical_accuracy: 0.7321 - 390ms/epoch - 8ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.8213 - categorical_accuracy: 0.7033 - val_loss: 0.6947 - val_categorical_accuracy: 0.7437 - 400ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7521 - categorical_accuracy: 0.7227 - val_loss: 0.6851 - val_categorical_accuracy: 0.7486 - 390ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7221 - categorical_accuracy: 0.7324 - val_loss: 0.6826 - val_categorical_accuracy: 0.7487 - 420ms/epoch - 9ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7169 - categorical_accuracy: 0.7345 - val_loss: 0.6779 - val_categorical_accuracy: 0.7472 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.8222 - categorical_accuracy: 0.7068 - val_loss: 0.7063 - val_categorical_accuracy: 0.7481 - 390ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.6854 - categorical_accuracy: 0.7445 - val_loss: 0.6948 - val_categorical_accuracy: 0.7441 - 400ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7007 - categorical_accuracy: 0.7412 - val_loss: 0.7317 - val_categorical_accuracy: 0.7288 - 400ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6801 - categorical_accuracy: 0.7456 - val_loss: 0.7666 - val_categorical_accuracy: 0.6927 - 420ms/epoch - 9ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.7696 - categorical_accuracy: 0.7235 - val_loss: 0.6552 - val_categorical_accuracy: 0.7588 - 410ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6623 - categorical_accuracy: 0.7533 - val_loss: 0.7349 - val_categorical_accuracy: 0.7257 - 400ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.7346 - categorical_accuracy: 0.7363 - val_loss: 0.6543 - val_categorical_accuracy: 0.7606 - 400ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6499 - categorical_accuracy: 0.7576 - val_loss: 0.6496 - val_categorical_accuracy: 0.7606 - 400ms/epoch - 8ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.7425 - categorical_accuracy: 0.7344 - val_loss: 0.6262 - val_categorical_accuracy: 0.7697 - 400ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6899 - categorical_accuracy: 0.7494 - val_loss: 0.6405 - val_categorical_accuracy: 0.7655 - 390ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.6314 - categorical_accuracy: 0.7630 - val_loss: 0.6570 - val_categorical_accuracy: 0.7546 - 390ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6250 - categorical_accuracy: 0.7645 - val_loss: 0.6103 - val_categorical_accuracy: 0.7730 - 400ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.7159 - categorical_accuracy: 0.7411 - val_loss: 0.6262 - val_categorical_accuracy: 0.7693 - 395ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6157 - categorical_accuracy: 0.7709 - val_loss: 0.5971 - val_categorical_accuracy: 0.7784 - 390ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6201 - categorical_accuracy: 0.7688 - val_loss: 0.6443 - val_categorical_accuracy: 0.7585 - 410ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6135 - categorical_accuracy: 0.7688 - val_loss: 0.8148 - val_categorical_accuracy: 0.7016 - 430ms/epoch - 9ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.6208 - categorical_accuracy: 0.7702 - val_loss: 0.7290 - val_categorical_accuracy: 0.7333 - 400ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.7949 - categorical_accuracy: 0.7291 - val_loss: 0.6415 - val_categorical_accuracy: 0.7598 - 400ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.6125 - categorical_accuracy: 0.7716 - val_loss: 0.6165 - val_categorical_accuracy: 0.7659 - 390ms/epoch - 8ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.5896 - categorical_accuracy: 0.7785 - val_loss: 0.6151 - val_categorical_accuracy: 0.7689 - 410ms/epoch - 8ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.6248 - categorical_accuracy: 0.7687 - val_loss: 0.5894 - val_categorical_accuracy: 0.7776 - 390ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.6785 - categorical_accuracy: 0.7561 - val_loss: 0.5939 - val_categorical_accuracy: 0.7802 - 390ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5762 - categorical_accuracy: 0.7844 - val_loss: 0.6450 - val_categorical_accuracy: 0.7567 - 400ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5921 - categorical_accuracy: 0.7794 - val_loss: 0.5623 - val_categorical_accuracy: 0.7860 - 400ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5842 - categorical_accuracy: 0.7809 - val_loss: 0.6322 - val_categorical_accuracy: 0.7565 - 390ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5621 - categorical_accuracy: 0.7904 - val_loss: 0.6194 - val_categorical_accuracy: 0.7767 - 390ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.7525 - categorical_accuracy: 0.7404 - val_loss: 0.5579 - val_categorical_accuracy: 0.7917 - 400ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.5659 - categorical_accuracy: 0.7895 - val_loss: 0.5877 - val_categorical_accuracy: 0.7856 - 450ms/epoch - 9ms/step
Epoch 76/1500
49/49 - 0s - loss: 0.5530 - categorical_accuracy: 0.7960 - val_loss: 0.5896 - val_categorical_accuracy: 0.7773 - 390ms/epoch - 8ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5714 - categorical_accuracy: 0.7845 - val_loss: 0.5441 - val_categorical_accuracy: 0.7949 - 390ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.6114 - categorical_accuracy: 0.7786 - val_loss: 0.6933 - val_categorical_accuracy: 0.7439 - 390ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.5530 - categorical_accuracy: 0.7933 - val_loss: 0.5759 - val_categorical_accuracy: 0.7866 - 400ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5706 - categorical_accuracy: 0.7893 - val_loss: 0.5338 - val_categorical_accuracy: 0.7983 - 400ms/epoch - 8ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5264 - categorical_accuracy: 0.8041 - val_loss: 0.5310 - val_categorical_accuracy: 0.7997 - 390ms/epoch - 8ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5429 - categorical_accuracy: 0.7956 - val_loss: 0.5785 - val_categorical_accuracy: 0.7747 - 390ms/epoch - 8ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5720 - categorical_accuracy: 0.7873 - val_loss: 0.5341 - val_categorical_accuracy: 0.7987 - 420ms/epoch - 9ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.5261 - categorical_accuracy: 0.8041 - val_loss: 0.5280 - val_categorical_accuracy: 0.8019 - 390ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5128 - categorical_accuracy: 0.8095 - val_loss: 0.5555 - val_categorical_accuracy: 0.7927 - 400ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5398 - categorical_accuracy: 0.7975 - val_loss: 0.5179 - val_categorical_accuracy: 0.8073 - 400ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5181 - categorical_accuracy: 0.8068 - val_loss: 0.5554 - val_categorical_accuracy: 0.7905 - 390ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5176 - categorical_accuracy: 0.8073 - val_loss: 0.6325 - val_categorical_accuracy: 0.7574 - 420ms/epoch - 9ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.5449 - categorical_accuracy: 0.8010 - val_loss: 0.5658 - val_categorical_accuracy: 0.7884 - 397ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.7105 - categorical_accuracy: 0.7577 - val_loss: 0.5097 - val_categorical_accuracy: 0.8101 - 405ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.5021 - categorical_accuracy: 0.8141 - val_loss: 0.6120 - val_categorical_accuracy: 0.7724 - 405ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.5046 - categorical_accuracy: 0.8131 - val_loss: 0.5363 - val_categorical_accuracy: 0.7995 - 400ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.4994 - categorical_accuracy: 0.8133 - val_loss: 0.4842 - val_categorical_accuracy: 0.8186 - 398ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.5062 - categorical_accuracy: 0.8122 - val_loss: 0.5035 - val_categorical_accuracy: 0.8114 - 396ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.5753 - categorical_accuracy: 0.7969 - val_loss: 0.5200 - val_categorical_accuracy: 0.8055 - 400ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.5000 - categorical_accuracy: 0.8133 - val_loss: 0.5133 - val_categorical_accuracy: 0.8086 - 390ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4766 - categorical_accuracy: 0.8228 - val_loss: 0.4824 - val_categorical_accuracy: 0.8180 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4796 - categorical_accuracy: 0.8206 - val_loss: 0.5546 - val_categorical_accuracy: 0.7883 - 420ms/epoch - 9ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.6664 - categorical_accuracy: 0.7713 - val_loss: 0.5666 - val_categorical_accuracy: 0.7985 - 400ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4789 - categorical_accuracy: 0.8241 - val_loss: 0.5097 - val_categorical_accuracy: 0.8050 - 400ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4753 - categorical_accuracy: 0.8224 - val_loss: 0.4945 - val_categorical_accuracy: 0.8127 - 400ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4647 - categorical_accuracy: 0.8259 - val_loss: 0.5049 - val_categorical_accuracy: 0.8066 - 390ms/epoch - 8ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.5366 - categorical_accuracy: 0.8071 - val_loss: 0.4953 - val_categorical_accuracy: 0.8119 - 390ms/epoch - 8ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4698 - categorical_accuracy: 0.8250 - val_loss: 0.4752 - val_categorical_accuracy: 0.8219 - 400ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4535 - categorical_accuracy: 0.8325 - val_loss: 0.5743 - val_categorical_accuracy: 0.7812 - 414ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.4603 - categorical_accuracy: 0.8265 - val_loss: 0.4906 - val_categorical_accuracy: 0.8173 - 400ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4576 - categorical_accuracy: 0.8302 - val_loss: 0.4596 - val_categorical_accuracy: 0.8233 - 400ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4547 - categorical_accuracy: 0.8300 - val_loss: 0.5163 - val_categorical_accuracy: 0.8057 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4637 - categorical_accuracy: 0.8280 - val_loss: 0.4832 - val_categorical_accuracy: 0.8151 - 400ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4415 - categorical_accuracy: 0.8362 - val_loss: 0.4626 - val_categorical_accuracy: 0.8249 - 400ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.4891 - categorical_accuracy: 0.8217 - val_loss: 1.5681 - val_categorical_accuracy: 0.5952 - 400ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.5053 - categorical_accuracy: 0.8197 - val_loss: 0.5015 - val_categorical_accuracy: 0.8148 - 400ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.5896 - categorical_accuracy: 0.8019 - val_loss: 0.4795 - val_categorical_accuracy: 0.8182 - 400ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4438 - categorical_accuracy: 0.8376 - val_loss: 0.4721 - val_categorical_accuracy: 0.8213 - 410ms/epoch - 8ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4409 - categorical_accuracy: 0.8361 - val_loss: 0.4858 - val_categorical_accuracy: 0.8113 - 394ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4476 - categorical_accuracy: 0.8349 - val_loss: 0.5205 - val_categorical_accuracy: 0.7963 - 400ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4237 - categorical_accuracy: 0.8415 - val_loss: 0.5389 - val_categorical_accuracy: 0.7904 - 390ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.4399 - categorical_accuracy: 0.8374 - val_loss: 0.4635 - val_categorical_accuracy: 0.8244 - 400ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4391 - categorical_accuracy: 0.8374 - val_loss: 0.6483 - val_categorical_accuracy: 0.7664 - 400ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4287 - categorical_accuracy: 0.8427 - val_loss: 0.5176 - val_categorical_accuracy: 0.8086 - 400ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4318 - categorical_accuracy: 0.8405 - val_loss: 0.4569 - val_categorical_accuracy: 0.8302 - 400ms/epoch - 8ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4268 - categorical_accuracy: 0.8424 - val_loss: 0.5089 - val_categorical_accuracy: 0.8047 - 440ms/epoch - 9ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4303 - categorical_accuracy: 0.8413 - val_loss: 0.4972 - val_categorical_accuracy: 0.8153 - 400ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4988 - categorical_accuracy: 0.8218 - val_loss: 0.4368 - val_categorical_accuracy: 0.8397 - 400ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4120 - categorical_accuracy: 0.8483 - val_loss: 0.4167 - val_categorical_accuracy: 0.8439 - 390ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4059 - categorical_accuracy: 0.8497 - val_loss: 0.5451 - val_categorical_accuracy: 0.7976 - 400ms/epoch - 8ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4159 - categorical_accuracy: 0.8474 - val_loss: 0.4289 - val_categorical_accuracy: 0.8371 - 410ms/epoch - 8ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4178 - categorical_accuracy: 0.8453 - val_loss: 0.4558 - val_categorical_accuracy: 0.8318 - 400ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.4127 - categorical_accuracy: 0.8485 - val_loss: 0.4201 - val_categorical_accuracy: 0.8439 - 400ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4023 - categorical_accuracy: 0.8510 - val_loss: 0.4803 - val_categorical_accuracy: 0.8195 - 410ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.4183 - categorical_accuracy: 0.8439 - val_loss: 0.4595 - val_categorical_accuracy: 0.8274 - 400ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.3975 - categorical_accuracy: 0.8530 - val_loss: 0.4529 - val_categorical_accuracy: 0.8287 - 390ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.4034 - categorical_accuracy: 0.8499 - val_loss: 0.4772 - val_categorical_accuracy: 0.8248 - 390ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.4025 - categorical_accuracy: 0.8504 - val_loss: 0.5205 - val_categorical_accuracy: 0.8114 - 390ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.4111 - categorical_accuracy: 0.8497 - val_loss: 0.4065 - val_categorical_accuracy: 0.8508 - 394ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 1s - loss: 0.3839 - categorical_accuracy: 0.8568 - val_loss: 0.4889 - val_categorical_accuracy: 0.8121 - 560ms/epoch - 11ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.4853 - categorical_accuracy: 0.8355 - val_loss: 0.4533 - val_categorical_accuracy: 0.8266 - 400ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.3953 - categorical_accuracy: 0.8559 - val_loss: 0.4953 - val_categorical_accuracy: 0.8205 - 400ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.3791 - categorical_accuracy: 0.8608 - val_loss: 0.5212 - val_categorical_accuracy: 0.8140 - 390ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.4949 - categorical_accuracy: 0.8280 - val_loss: 0.3989 - val_categorical_accuracy: 0.8524 - 425ms/epoch - 9ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3815 - categorical_accuracy: 0.8601 - val_loss: 0.4351 - val_categorical_accuracy: 0.8351 - 400ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3871 - categorical_accuracy: 0.8584 - val_loss: 0.4088 - val_categorical_accuracy: 0.8477 - 400ms/epoch - 8ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3735 - categorical_accuracy: 0.8621 - val_loss: 0.3961 - val_categorical_accuracy: 0.8524 - 400ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.4039 - categorical_accuracy: 0.8530 - val_loss: 0.4461 - val_categorical_accuracy: 0.8340 - 400ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3733 - categorical_accuracy: 0.8632 - val_loss: 0.4352 - val_categorical_accuracy: 0.8379 - 440ms/epoch - 9ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3668 - categorical_accuracy: 0.8658 - val_loss: 0.4106 - val_categorical_accuracy: 0.8465 - 400ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3789 - categorical_accuracy: 0.8605 - val_loss: 1.0919 - val_categorical_accuracy: 0.6912 - 390ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.5219 - categorical_accuracy: 0.8284 - val_loss: 0.3856 - val_categorical_accuracy: 0.8584 - 400ms/epoch - 8ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3658 - categorical_accuracy: 0.8655 - val_loss: 0.3965 - val_categorical_accuracy: 0.8543 - 400ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3673 - categorical_accuracy: 0.8658 - val_loss: 0.4330 - val_categorical_accuracy: 0.8395 - 394ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3639 - categorical_accuracy: 0.8660 - val_loss: 0.4345 - val_categorical_accuracy: 0.8414 - 400ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3861 - categorical_accuracy: 0.8594 - val_loss: 0.3997 - val_categorical_accuracy: 0.8546 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3524 - categorical_accuracy: 0.8710 - val_loss: 0.4233 - val_categorical_accuracy: 0.8426 - 400ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3679 - categorical_accuracy: 0.8659 - val_loss: 0.4711 - val_categorical_accuracy: 0.8285 - 390ms/epoch - 8ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3719 - categorical_accuracy: 0.8647 - val_loss: 0.3868 - val_categorical_accuracy: 0.8545 - 394ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3430 - categorical_accuracy: 0.8757 - val_loss: 0.5112 - val_categorical_accuracy: 0.8026 - 400ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.3577 - categorical_accuracy: 0.8679 - val_loss: 0.6460 - val_categorical_accuracy: 0.7722 - 400ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3615 - categorical_accuracy: 0.8681 - val_loss: 0.3996 - val_categorical_accuracy: 0.8499 - 400ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3655 - categorical_accuracy: 0.8667 - val_loss: 0.4181 - val_categorical_accuracy: 0.8474 - 420ms/epoch - 9ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3531 - categorical_accuracy: 0.8686 - val_loss: 0.4332 - val_categorical_accuracy: 0.8363 - 394ms/epoch - 8ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3461 - categorical_accuracy: 0.8716 - val_loss: 0.4433 - val_categorical_accuracy: 0.8319 - 400ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.4705 - categorical_accuracy: 0.8402 - val_loss: 0.3910 - val_categorical_accuracy: 0.8574 - 400ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3374 - categorical_accuracy: 0.8786 - val_loss: 0.4021 - val_categorical_accuracy: 0.8490 - 410ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3432 - categorical_accuracy: 0.8742 - val_loss: 0.4684 - val_categorical_accuracy: 0.8290 - 400ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.4270 - categorical_accuracy: 0.8559 - val_loss: 0.3931 - val_categorical_accuracy: 0.8580 - 390ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3676 - categorical_accuracy: 0.8680 - val_loss: 0.3767 - val_categorical_accuracy: 0.8620 - 400ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.3395 - categorical_accuracy: 0.8752 - val_loss: 0.4099 - val_categorical_accuracy: 0.8518 - 400ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3344 - categorical_accuracy: 0.8800 - val_loss: 0.4177 - val_categorical_accuracy: 0.8430 - 395ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3286 - categorical_accuracy: 0.8805 - val_loss: 0.4365 - val_categorical_accuracy: 0.8404 - 400ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3462 - categorical_accuracy: 0.8722 - val_loss: 0.5051 - val_categorical_accuracy: 0.8170 - 400ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3316 - categorical_accuracy: 0.8795 - val_loss: 0.4461 - val_categorical_accuracy: 0.8378 - 400ms/epoch - 8ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.4115 - categorical_accuracy: 0.8581 - val_loss: 0.3835 - val_categorical_accuracy: 0.8568 - 400ms/epoch - 8ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3206 - categorical_accuracy: 0.8825 - val_loss: 0.3825 - val_categorical_accuracy: 0.8578 - 400ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3345 - categorical_accuracy: 0.8779 - val_loss: 0.4012 - val_categorical_accuracy: 0.8527 - 400ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3301 - categorical_accuracy: 0.8784 - val_loss: 0.4131 - val_categorical_accuracy: 0.8497 - 394ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3468 - categorical_accuracy: 0.8744 - val_loss: 0.3761 - val_categorical_accuracy: 0.8623 - 400ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3252 - categorical_accuracy: 0.8800 - val_loss: 0.4805 - val_categorical_accuracy: 0.8191 - 400ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3441 - categorical_accuracy: 0.8756 - val_loss: 0.4187 - val_categorical_accuracy: 0.8473 - 400ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3268 - categorical_accuracy: 0.8798 - val_loss: 0.3585 - val_categorical_accuracy: 0.8716 - 400ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3204 - categorical_accuracy: 0.8833 - val_loss: 0.3503 - val_categorical_accuracy: 0.8750 - 390ms/epoch - 8ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3171 - categorical_accuracy: 0.8837 - val_loss: 0.4386 - val_categorical_accuracy: 0.8421 - 420ms/epoch - 9ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.6259 - categorical_accuracy: 0.8104 - val_loss: 0.3833 - val_categorical_accuracy: 0.8597 - 390ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.3040 - categorical_accuracy: 0.8912 - val_loss: 0.3986 - val_categorical_accuracy: 0.8546 - 400ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3203 - categorical_accuracy: 0.8818 - val_loss: 0.4016 - val_categorical_accuracy: 0.8559 - 400ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.3149 - categorical_accuracy: 0.8875 - val_loss: 0.4039 - val_categorical_accuracy: 0.8495 - 395ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.3148 - categorical_accuracy: 0.8854 - val_loss: 0.3742 - val_categorical_accuracy: 0.8620 - 400ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3132 - categorical_accuracy: 0.8845 - val_loss: 0.3918 - val_categorical_accuracy: 0.8594 - 400ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3146 - categorical_accuracy: 0.8858 - val_loss: 0.3602 - val_categorical_accuracy: 0.8671 - 420ms/epoch - 9ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.3068 - categorical_accuracy: 0.8878 - val_loss: 0.3625 - val_categorical_accuracy: 0.8644 - 390ms/epoch - 8ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.3134 - categorical_accuracy: 0.8848 - val_loss: 0.4309 - val_categorical_accuracy: 0.8462 - 394ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.3010 - categorical_accuracy: 0.8909 - val_loss: 0.4966 - val_categorical_accuracy: 0.8387 - 410ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.3121 - categorical_accuracy: 0.8859 - val_loss: 0.3835 - val_categorical_accuracy: 0.8606 - 410ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.2994 - categorical_accuracy: 0.8907 - val_loss: 0.4119 - val_categorical_accuracy: 0.8523 - 400ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.3720 - categorical_accuracy: 0.8727 - val_loss: 0.4161 - val_categorical_accuracy: 0.8470 - 390ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.2993 - categorical_accuracy: 0.8911 - val_loss: 0.4086 - val_categorical_accuracy: 0.8535 - 390ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.3115 - categorical_accuracy: 0.8874 - val_loss: 0.4691 - val_categorical_accuracy: 0.8283 - 404ms/epoch - 8ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.2909 - categorical_accuracy: 0.8966 - val_loss: 0.4751 - val_categorical_accuracy: 0.8310 - 390ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.2961 - categorical_accuracy: 0.8926 - val_loss: 0.3474 - val_categorical_accuracy: 0.8732 - 400ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2929 - categorical_accuracy: 0.8940 - val_loss: 0.3829 - val_categorical_accuracy: 0.8610 - 400ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.3176 - categorical_accuracy: 0.8854 - val_loss: 0.3652 - val_categorical_accuracy: 0.8696 - 441ms/epoch - 9ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.2940 - categorical_accuracy: 0.8940 - val_loss: 0.3640 - val_categorical_accuracy: 0.8688 - 410ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.2947 - categorical_accuracy: 0.8938 - val_loss: 0.3879 - val_categorical_accuracy: 0.8627 - 400ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2940 - categorical_accuracy: 0.8931 - val_loss: 0.4644 - val_categorical_accuracy: 0.8369 - 390ms/epoch - 8ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2921 - categorical_accuracy: 0.8942 - val_loss: 0.3529 - val_categorical_accuracy: 0.8713 - 390ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.4485 - categorical_accuracy: 0.8517 - val_loss: 0.3581 - val_categorical_accuracy: 0.8695 - 394ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2732 - categorical_accuracy: 0.9030 - val_loss: 0.3623 - val_categorical_accuracy: 0.8710 - 390ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.3326 - categorical_accuracy: 0.8834 - val_loss: 0.3809 - val_categorical_accuracy: 0.8662 - 400ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.2851 - categorical_accuracy: 0.8966 - val_loss: 0.4351 - val_categorical_accuracy: 0.8414 - 400ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.2800 - categorical_accuracy: 0.8985 - val_loss: 0.3355 - val_categorical_accuracy: 0.8774 - 390ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.3021 - categorical_accuracy: 0.8953 - val_loss: 0.3638 - val_categorical_accuracy: 0.8689 - 400ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2884 - categorical_accuracy: 0.8946 - val_loss: 0.4077 - val_categorical_accuracy: 0.8525 - 400ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2790 - categorical_accuracy: 0.8983 - val_loss: 0.4005 - val_categorical_accuracy: 0.8582 - 400ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2756 - categorical_accuracy: 0.9001 - val_loss: 0.5602 - val_categorical_accuracy: 0.8137 - 400ms/epoch - 8ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.3015 - categorical_accuracy: 0.8895 - val_loss: 0.4901 - val_categorical_accuracy: 0.8294 - 400ms/epoch - 8ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2687 - categorical_accuracy: 0.9030 - val_loss: 0.3745 - val_categorical_accuracy: 0.8665 - 400ms/epoch - 8ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.2952 - categorical_accuracy: 0.8947 - val_loss: 0.5558 - val_categorical_accuracy: 0.8127 - 400ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2850 - categorical_accuracy: 0.8967 - val_loss: 0.3947 - val_categorical_accuracy: 0.8592 - 390ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2698 - categorical_accuracy: 0.9022 - val_loss: 0.3932 - val_categorical_accuracy: 0.8565 - 390ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2885 - categorical_accuracy: 0.8961 - val_loss: 0.4544 - val_categorical_accuracy: 0.8469 - 420ms/epoch - 9ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2739 - categorical_accuracy: 0.9022 - val_loss: 0.3554 - val_categorical_accuracy: 0.8755 - 394ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.4155 - categorical_accuracy: 0.8622 - val_loss: 0.3775 - val_categorical_accuracy: 0.8656 - 400ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9039 - val_loss: 0.4040 - val_categorical_accuracy: 0.8554 - 400ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2780 - categorical_accuracy: 0.9011 - val_loss: 0.3521 - val_categorical_accuracy: 0.8764 - 400ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2737 - categorical_accuracy: 0.9001 - val_loss: 0.3333 - val_categorical_accuracy: 0.8806 - 400ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2722 - categorical_accuracy: 0.9024 - val_loss: 0.3357 - val_categorical_accuracy: 0.8795 - 404ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2599 - categorical_accuracy: 0.9076 - val_loss: 0.3507 - val_categorical_accuracy: 0.8748 - 400ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2842 - categorical_accuracy: 0.8987 - val_loss: 0.5714 - val_categorical_accuracy: 0.8063 - 390ms/epoch - 8ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2621 - categorical_accuracy: 0.9067 - val_loss: 0.3603 - val_categorical_accuracy: 0.8724 - 390ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2590 - categorical_accuracy: 0.9075 - val_loss: 0.3845 - val_categorical_accuracy: 0.8641 - 400ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2790 - categorical_accuracy: 0.8979 - val_loss: 0.3468 - val_categorical_accuracy: 0.8736 - 400ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2640 - categorical_accuracy: 0.9049 - val_loss: 0.3798 - val_categorical_accuracy: 0.8622 - 400ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2591 - categorical_accuracy: 0.9058 - val_loss: 0.3723 - val_categorical_accuracy: 0.8717 - 420ms/epoch - 9ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2652 - categorical_accuracy: 0.9046 - val_loss: 0.3404 - val_categorical_accuracy: 0.8798 - 400ms/epoch - 8ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.2954 - categorical_accuracy: 0.8959 - val_loss: 0.3286 - val_categorical_accuracy: 0.8852 - 400ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2582 - categorical_accuracy: 0.9060 - val_loss: 0.4083 - val_categorical_accuracy: 0.8503 - 394ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.3486 - categorical_accuracy: 0.8848 - val_loss: 0.3808 - val_categorical_accuracy: 0.8611 - 390ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2555 - categorical_accuracy: 0.9092 - val_loss: 0.5638 - val_categorical_accuracy: 0.8157 - 390ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2624 - categorical_accuracy: 0.9065 - val_loss: 0.3412 - val_categorical_accuracy: 0.8794 - 400ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2533 - categorical_accuracy: 0.9092 - val_loss: 0.4921 - val_categorical_accuracy: 0.8269 - 390ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2516 - categorical_accuracy: 0.9112 - val_loss: 0.4896 - val_categorical_accuracy: 0.8297 - 414ms/epoch - 8ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2500 - categorical_accuracy: 0.9106 - val_loss: 0.4282 - val_categorical_accuracy: 0.8543 - 420ms/epoch - 9ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.3294 - categorical_accuracy: 0.8882 - val_loss: 0.3811 - val_categorical_accuracy: 0.8670 - 390ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2439 - categorical_accuracy: 0.9132 - val_loss: 0.3823 - val_categorical_accuracy: 0.8659 - 394ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2464 - categorical_accuracy: 0.9129 - val_loss: 0.3285 - val_categorical_accuracy: 0.8848 - 400ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2608 - categorical_accuracy: 0.9056 - val_loss: 0.3616 - val_categorical_accuracy: 0.8750 - 395ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2293 - categorical_accuracy: 0.9188 - val_loss: 0.4088 - val_categorical_accuracy: 0.8591 - 400ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.4194 - categorical_accuracy: 0.8673 - val_loss: 0.3251 - val_categorical_accuracy: 0.8886 - 440ms/epoch - 9ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2419 - categorical_accuracy: 0.9140 - val_loss: 0.3753 - val_categorical_accuracy: 0.8703 - 400ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2465 - categorical_accuracy: 0.9109 - val_loss: 0.3684 - val_categorical_accuracy: 0.8701 - 390ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2295 - categorical_accuracy: 0.9185 - val_loss: 0.3580 - val_categorical_accuracy: 0.8734 - 400ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2599 - categorical_accuracy: 0.9053 - val_loss: 0.3417 - val_categorical_accuracy: 0.8813 - 400ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2342 - categorical_accuracy: 0.9165 - val_loss: 0.3555 - val_categorical_accuracy: 0.8767 - 400ms/epoch - 8ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2455 - categorical_accuracy: 0.9122 - val_loss: 0.3499 - val_categorical_accuracy: 0.8802 - 400ms/epoch - 8ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2928 - categorical_accuracy: 0.8978 - val_loss: 0.3605 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2241 - categorical_accuracy: 0.9215 - val_loss: 0.3647 - val_categorical_accuracy: 0.8754 - 404ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.2400 - categorical_accuracy: 0.9133 - val_loss: 0.3673 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2310 - categorical_accuracy: 0.9173 - val_loss: 0.4679 - val_categorical_accuracy: 0.8389 - 390ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2487 - categorical_accuracy: 0.9099 - val_loss: 0.4811 - val_categorical_accuracy: 0.8403 - 390ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2738 - categorical_accuracy: 0.9037 - val_loss: 0.3506 - val_categorical_accuracy: 0.8787 - 400ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2315 - categorical_accuracy: 0.9174 - val_loss: 0.3423 - val_categorical_accuracy: 0.8830 - 390ms/epoch - 8ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2495 - categorical_accuracy: 0.9100 - val_loss: 0.3338 - val_categorical_accuracy: 0.8834 - 420ms/epoch - 9ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2392 - categorical_accuracy: 0.9155 - val_loss: 0.3502 - val_categorical_accuracy: 0.8797 - 440ms/epoch - 9ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2416 - categorical_accuracy: 0.9132 - val_loss: 0.3814 - val_categorical_accuracy: 0.8670 - 400ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2213 - categorical_accuracy: 0.9213 - val_loss: 0.4484 - val_categorical_accuracy: 0.8480 - 390ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2475 - categorical_accuracy: 0.9100 - val_loss: 0.3211 - val_categorical_accuracy: 0.8887 - 394ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2320 - categorical_accuracy: 0.9167 - val_loss: 0.3274 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2254 - categorical_accuracy: 0.9197 - val_loss: 0.3176 - val_categorical_accuracy: 0.8926 - 390ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2323 - categorical_accuracy: 0.9175 - val_loss: 0.4196 - val_categorical_accuracy: 0.8552 - 390ms/epoch - 8ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.4623 - categorical_accuracy: 0.8556 - val_loss: 0.3289 - val_categorical_accuracy: 0.8854 - 390ms/epoch - 8ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2057 - categorical_accuracy: 0.9299 - val_loss: 0.3409 - val_categorical_accuracy: 0.8849 - 390ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2215 - categorical_accuracy: 0.9214 - val_loss: 0.3814 - val_categorical_accuracy: 0.8671 - 420ms/epoch - 9ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2398 - categorical_accuracy: 0.9154 - val_loss: 0.3515 - val_categorical_accuracy: 0.8765 - 400ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2299 - categorical_accuracy: 0.9172 - val_loss: 0.3610 - val_categorical_accuracy: 0.8725 - 400ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2225 - categorical_accuracy: 0.9206 - val_loss: 0.4027 - val_categorical_accuracy: 0.8612 - 400ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2214 - categorical_accuracy: 0.9208 - val_loss: 0.3544 - val_categorical_accuracy: 0.8788 - 400ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.3467 - categorical_accuracy: 0.8907 - val_loss: 0.3426 - val_categorical_accuracy: 0.8797 - 420ms/epoch - 9ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2115 - categorical_accuracy: 0.9264 - val_loss: 0.4073 - val_categorical_accuracy: 0.8608 - 400ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.2204 - categorical_accuracy: 0.9216 - val_loss: 0.3151 - val_categorical_accuracy: 0.8927 - 400ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.2136 - categorical_accuracy: 0.9250 - val_loss: 0.3813 - val_categorical_accuracy: 0.8702 - 400ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2187 - categorical_accuracy: 0.9231 - val_loss: 0.3891 - val_categorical_accuracy: 0.8676 - 394ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2191 - categorical_accuracy: 0.9218 - val_loss: 0.3649 - val_categorical_accuracy: 0.8752 - 390ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2259 - categorical_accuracy: 0.9193 - val_loss: 0.3810 - val_categorical_accuracy: 0.8704 - 400ms/epoch - 8ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2224 - categorical_accuracy: 0.9202 - val_loss: 0.3574 - val_categorical_accuracy: 0.8805 - 400ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2121 - categorical_accuracy: 0.9245 - val_loss: 0.3628 - val_categorical_accuracy: 0.8757 - 400ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2828 - categorical_accuracy: 0.9063 - val_loss: 0.3445 - val_categorical_accuracy: 0.8787 - 420ms/epoch - 9ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.1876 - categorical_accuracy: 0.9355 - val_loss: 0.3640 - val_categorical_accuracy: 0.8784 - 400ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.2361 - categorical_accuracy: 0.9172 - val_loss: 0.3264 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2028 - categorical_accuracy: 0.9296 - val_loss: 0.5319 - val_categorical_accuracy: 0.8185 - 390ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2810 - categorical_accuracy: 0.9053 - val_loss: 0.3484 - val_categorical_accuracy: 0.8813 - 400ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2135 - categorical_accuracy: 0.9240 - val_loss: 0.3417 - val_categorical_accuracy: 0.8845 - 400ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9280 - val_loss: 0.5160 - val_categorical_accuracy: 0.8363 - 390ms/epoch - 8ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2285 - categorical_accuracy: 0.9197 - val_loss: 0.3614 - val_categorical_accuracy: 0.8808 - 390ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2247 - categorical_accuracy: 0.9217 - val_loss: 0.4435 - val_categorical_accuracy: 0.8490 - 400ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2080 - categorical_accuracy: 0.9267 - val_loss: 0.3888 - val_categorical_accuracy: 0.8696 - 420ms/epoch - 9ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2234 - categorical_accuracy: 0.9195 - val_loss: 0.3408 - val_categorical_accuracy: 0.8879 - 394ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2060 - categorical_accuracy: 0.9258 - val_loss: 0.3766 - val_categorical_accuracy: 0.8723 - 400ms/epoch - 8ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2039 - categorical_accuracy: 0.9276 - val_loss: 0.3164 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.2041 - categorical_accuracy: 0.9268 - val_loss: 0.3405 - val_categorical_accuracy: 0.8854 - 400ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2108 - categorical_accuracy: 0.9243 - val_loss: 0.3629 - val_categorical_accuracy: 0.8779 - 400ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.2542 - categorical_accuracy: 0.9126 - val_loss: 0.3334 - val_categorical_accuracy: 0.8866 - 430ms/epoch - 9ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.1922 - categorical_accuracy: 0.9330 - val_loss: 0.3555 - val_categorical_accuracy: 0.8803 - 400ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2058 - categorical_accuracy: 0.9273 - val_loss: 0.3807 - val_categorical_accuracy: 0.8723 - 400ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.1959 - categorical_accuracy: 0.9303 - val_loss: 0.4559 - val_categorical_accuracy: 0.8476 - 400ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2238 - categorical_accuracy: 0.9206 - val_loss: 1.2656 - val_categorical_accuracy: 0.7124 - 400ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.2452 - categorical_accuracy: 0.9191 - val_loss: 0.3204 - val_categorical_accuracy: 0.8929 - 394ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2052 - categorical_accuracy: 0.9282 - val_loss: 0.3944 - val_categorical_accuracy: 0.8707 - 390ms/epoch - 8ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2056 - categorical_accuracy: 0.9280 - val_loss: 0.3223 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.2238 - categorical_accuracy: 0.9191 - val_loss: 0.3437 - val_categorical_accuracy: 0.8848 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.1861 - categorical_accuracy: 0.9344 - val_loss: 0.3462 - val_categorical_accuracy: 0.8849 - 390ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.1991 - categorical_accuracy: 0.9294 - val_loss: 0.3218 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.2104 - categorical_accuracy: 0.9257 - val_loss: 0.4295 - val_categorical_accuracy: 0.8591 - 420ms/epoch - 9ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.2967 - categorical_accuracy: 0.9007 - val_loss: 0.5188 - val_categorical_accuracy: 0.8259 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1870 - categorical_accuracy: 0.9358 - val_loss: 0.3562 - val_categorical_accuracy: 0.8841 - 400ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.1889 - categorical_accuracy: 0.9336 - val_loss: 0.3438 - val_categorical_accuracy: 0.8857 - 400ms/epoch - 8ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.1973 - categorical_accuracy: 0.9309 - val_loss: 0.3685 - val_categorical_accuracy: 0.8787 - 394ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.1843 - categorical_accuracy: 0.9348 - val_loss: 0.3695 - val_categorical_accuracy: 0.8779 - 400ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.2035 - categorical_accuracy: 0.9275 - val_loss: 0.3560 - val_categorical_accuracy: 0.8843 - 390ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.1957 - categorical_accuracy: 0.9299 - val_loss: 0.4050 - val_categorical_accuracy: 0.8711 - 404ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.2298 - categorical_accuracy: 0.9211 - val_loss: 0.3200 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1885 - categorical_accuracy: 0.9332 - val_loss: 0.7124 - val_categorical_accuracy: 0.7782 - 390ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.2086 - categorical_accuracy: 0.9271 - val_loss: 0.3372 - val_categorical_accuracy: 0.8884 - 390ms/epoch - 8ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.1921 - categorical_accuracy: 0.9333 - val_loss: 0.3552 - val_categorical_accuracy: 0.8813 - 420ms/epoch - 9ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.2055 - categorical_accuracy: 0.9259 - val_loss: 0.3616 - val_categorical_accuracy: 0.8814 - 400ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1986 - categorical_accuracy: 0.9297 - val_loss: 0.4104 - val_categorical_accuracy: 0.8703 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.2053 - categorical_accuracy: 0.9260 - val_loss: 0.3544 - val_categorical_accuracy: 0.8827 - 400ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.1870 - categorical_accuracy: 0.9335 - val_loss: 0.4370 - val_categorical_accuracy: 0.8589 - 400ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 0s - loss: 0.1954 - categorical_accuracy: 0.9329 - val_loss: 0.3552 - val_categorical_accuracy: 0.8839 - 420ms/epoch - 9ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.2919 - categorical_accuracy: 0.9059 - val_loss: 0.3355 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.1908 - categorical_accuracy: 0.9333 - val_loss: 0.3196 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1921 - categorical_accuracy: 0.9327 - val_loss: 0.3920 - val_categorical_accuracy: 0.8733 - 390ms/epoch - 8ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9406 - val_loss: 0.3698 - val_categorical_accuracy: 0.8793 - 400ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.1906 - categorical_accuracy: 0.9324 - val_loss: 0.3543 - val_categorical_accuracy: 0.8836 - 390ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1947 - categorical_accuracy: 0.9306 - val_loss: 0.3331 - val_categorical_accuracy: 0.8933 - 430ms/epoch - 9ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1913 - categorical_accuracy: 0.9316 - val_loss: 0.4547 - val_categorical_accuracy: 0.8601 - 400ms/epoch - 8ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.2315 - categorical_accuracy: 0.9231 - val_loss: 0.3471 - val_categorical_accuracy: 0.8878 - 395ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.1777 - categorical_accuracy: 0.9371 - val_loss: 0.3327 - val_categorical_accuracy: 0.8936 - 400ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.2996 - categorical_accuracy: 0.9082 - val_loss: 0.3335 - val_categorical_accuracy: 0.8927 - 400ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1667 - categorical_accuracy: 0.9430 - val_loss: 0.5065 - val_categorical_accuracy: 0.8439 - 400ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.2002 - categorical_accuracy: 0.9298 - val_loss: 0.3556 - val_categorical_accuracy: 0.8827 - 420ms/epoch - 9ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1859 - categorical_accuracy: 0.9348 - val_loss: 0.3604 - val_categorical_accuracy: 0.8869 - 395ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1814 - categorical_accuracy: 0.9352 - val_loss: 0.5585 - val_categorical_accuracy: 0.8240 - 400ms/epoch - 8ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.2246 - categorical_accuracy: 0.9252 - val_loss: 0.3188 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1892 - categorical_accuracy: 0.9332 - val_loss: 0.3782 - val_categorical_accuracy: 0.8803 - 400ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.1610 - categorical_accuracy: 0.9438 - val_loss: 0.3775 - val_categorical_accuracy: 0.8816 - 390ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.3534 - categorical_accuracy: 0.8928 - val_loss: 0.3364 - val_categorical_accuracy: 0.8896 - 394ms/epoch - 8ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9404 - val_loss: 0.3221 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1810 - categorical_accuracy: 0.9357 - val_loss: 0.3897 - val_categorical_accuracy: 0.8774 - 400ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1730 - categorical_accuracy: 0.9393 - val_loss: 0.3570 - val_categorical_accuracy: 0.8905 - 390ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1774 - categorical_accuracy: 0.9368 - val_loss: 0.3591 - val_categorical_accuracy: 0.8843 - 410ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1815 - categorical_accuracy: 0.9356 - val_loss: 0.3518 - val_categorical_accuracy: 0.8890 - 420ms/epoch - 9ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.1926 - categorical_accuracy: 0.9297 - val_loss: 0.4259 - val_categorical_accuracy: 0.8626 - 400ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1663 - categorical_accuracy: 0.9417 - val_loss: 0.3292 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1705 - categorical_accuracy: 0.9397 - val_loss: 0.3767 - val_categorical_accuracy: 0.8773 - 400ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1722 - categorical_accuracy: 0.9390 - val_loss: 0.3474 - val_categorical_accuracy: 0.8918 - 400ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1808 - categorical_accuracy: 0.9352 - val_loss: 0.5492 - val_categorical_accuracy: 0.8343 - 394ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1864 - categorical_accuracy: 0.9359 - val_loss: 0.3983 - val_categorical_accuracy: 0.8734 - 390ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1922 - categorical_accuracy: 0.9325 - val_loss: 0.3282 - val_categorical_accuracy: 0.9004 - 410ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1513 - categorical_accuracy: 0.9474 - val_loss: 0.3684 - val_categorical_accuracy: 0.8885 - 400ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.2078 - categorical_accuracy: 0.9281 - val_loss: 0.3497 - val_categorical_accuracy: 0.8867 - 390ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1756 - categorical_accuracy: 0.9392 - val_loss: 0.3507 - val_categorical_accuracy: 0.8914 - 400ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9454 - val_loss: 0.4996 - val_categorical_accuracy: 0.8472 - 390ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.3529 - categorical_accuracy: 0.8915 - val_loss: 0.3407 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1523 - categorical_accuracy: 0.9480 - val_loss: 0.3875 - val_categorical_accuracy: 0.8783 - 400ms/epoch - 8ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9339 - val_loss: 0.4990 - val_categorical_accuracy: 0.8398 - 420ms/epoch - 9ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.2833 - categorical_accuracy: 0.9121 - val_loss: 0.3318 - val_categorical_accuracy: 0.8929 - 404ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.1548 - categorical_accuracy: 0.9461 - val_loss: 0.3944 - val_categorical_accuracy: 0.8736 - 390ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1808 - categorical_accuracy: 0.9344 - val_loss: 0.3361 - val_categorical_accuracy: 0.8941 - 400ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1821 - categorical_accuracy: 0.9371 - val_loss: 0.3188 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1849 - categorical_accuracy: 0.9370 - val_loss: 0.3531 - val_categorical_accuracy: 0.8866 - 390ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1583 - categorical_accuracy: 0.9439 - val_loss: 0.3437 - val_categorical_accuracy: 0.8934 - 400ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.1836 - categorical_accuracy: 0.9340 - val_loss: 0.3880 - val_categorical_accuracy: 0.8831 - 430ms/epoch - 9ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1530 - categorical_accuracy: 0.9468 - val_loss: 0.3457 - val_categorical_accuracy: 0.8911 - 400ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1769 - categorical_accuracy: 0.9366 - val_loss: 0.5104 - val_categorical_accuracy: 0.8542 - 390ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1729 - categorical_accuracy: 0.9408 - val_loss: 0.3475 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1502 - categorical_accuracy: 0.9477 - val_loss: 0.4165 - val_categorical_accuracy: 0.8673 - 390ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.2025 - categorical_accuracy: 0.9287 - val_loss: 0.3474 - val_categorical_accuracy: 0.8920 - 400ms/epoch - 8ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9427 - val_loss: 0.4741 - val_categorical_accuracy: 0.8583 - 390ms/epoch - 8ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9224 - val_loss: 0.3326 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9525 - val_loss: 0.3503 - val_categorical_accuracy: 0.8917 - 430ms/epoch - 9ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1826 - categorical_accuracy: 0.9364 - val_loss: 0.3330 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1472 - categorical_accuracy: 0.9488 - val_loss: 0.3516 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9337 - val_loss: 0.3579 - val_categorical_accuracy: 0.8849 - 400ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1461 - categorical_accuracy: 0.9487 - val_loss: 0.6863 - val_categorical_accuracy: 0.8267 - 390ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.2024 - categorical_accuracy: 0.9325 - val_loss: 0.3456 - val_categorical_accuracy: 0.8944 - 390ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1611 - categorical_accuracy: 0.9431 - val_loss: 0.7626 - val_categorical_accuracy: 0.7787 - 399ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 1s - loss: 0.1887 - categorical_accuracy: 0.9381 - val_loss: 0.3574 - val_categorical_accuracy: 0.8883 - 600ms/epoch - 12ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9451 - val_loss: 0.4030 - val_categorical_accuracy: 0.8795 - 425ms/epoch - 9ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1791 - categorical_accuracy: 0.9363 - val_loss: 0.4060 - val_categorical_accuracy: 0.8758 - 407ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1573 - categorical_accuracy: 0.9453 - val_loss: 0.5667 - val_categorical_accuracy: 0.8307 - 397ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.3973 - categorical_accuracy: 0.8844 - val_loss: 0.3548 - val_categorical_accuracy: 0.8871 - 390ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1424 - categorical_accuracy: 0.9519 - val_loss: 0.3422 - val_categorical_accuracy: 0.8937 - 400ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1680 - categorical_accuracy: 0.9406 - val_loss: 0.3233 - val_categorical_accuracy: 0.9017 - 401ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9462 - val_loss: 0.5569 - val_categorical_accuracy: 0.8443 - 393ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1616 - categorical_accuracy: 0.9447 - val_loss: 0.3481 - val_categorical_accuracy: 0.8956 - 400ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.1689 - categorical_accuracy: 0.9407 - val_loss: 0.3766 - val_categorical_accuracy: 0.8851 - 390ms/epoch - 8ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1733 - categorical_accuracy: 0.9385 - val_loss: 0.3537 - val_categorical_accuracy: 0.8919 - 420ms/epoch - 9ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1443 - categorical_accuracy: 0.9494 - val_loss: 0.3271 - val_categorical_accuracy: 0.9006 - 400ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1930 - categorical_accuracy: 0.9330 - val_loss: 0.3363 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1360 - categorical_accuracy: 0.9530 - val_loss: 0.3542 - val_categorical_accuracy: 0.8943 - 395ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1840 - categorical_accuracy: 0.9378 - val_loss: 0.3232 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1321 - categorical_accuracy: 0.9548 - val_loss: 0.3469 - val_categorical_accuracy: 0.8932 - 400ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1606 - categorical_accuracy: 0.9452 - val_loss: 0.3384 - val_categorical_accuracy: 0.8975 - 400ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1791 - categorical_accuracy: 0.9387 - val_loss: 0.3832 - val_categorical_accuracy: 0.8768 - 410ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1373 - categorical_accuracy: 0.9520 - val_loss: 0.3321 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1681 - categorical_accuracy: 0.9413 - val_loss: 0.3477 - val_categorical_accuracy: 0.8983 - 397ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.2157 - categorical_accuracy: 0.9297 - val_loss: 0.3269 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1384 - categorical_accuracy: 0.9531 - val_loss: 0.3790 - val_categorical_accuracy: 0.8848 - 400ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1485 - categorical_accuracy: 0.9476 - val_loss: 0.3508 - val_categorical_accuracy: 0.8915 - 400ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.1362 - categorical_accuracy: 0.9525 - val_loss: 0.3533 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1904 - categorical_accuracy: 0.9349 - val_loss: 0.3630 - val_categorical_accuracy: 0.8883 - 400ms/epoch - 8ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1365 - categorical_accuracy: 0.9529 - val_loss: 0.3839 - val_categorical_accuracy: 0.8839 - 400ms/epoch - 8ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1500 - categorical_accuracy: 0.9484 - val_loss: 0.3432 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.3410 - categorical_accuracy: 0.8981 - val_loss: 0.3329 - val_categorical_accuracy: 0.8960 - 400ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1333 - categorical_accuracy: 0.9549 - val_loss: 0.3733 - val_categorical_accuracy: 0.8872 - 400ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1406 - categorical_accuracy: 0.9502 - val_loss: 0.3903 - val_categorical_accuracy: 0.8825 - 400ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9479 - val_loss: 0.3352 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1670 - categorical_accuracy: 0.9434 - val_loss: 0.3700 - val_categorical_accuracy: 0.8889 - 400ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1327 - categorical_accuracy: 0.9536 - val_loss: 0.3421 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1959 - categorical_accuracy: 0.9311 - val_loss: 0.3185 - val_categorical_accuracy: 0.9034 - 410ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1275 - categorical_accuracy: 0.9568 - val_loss: 0.4350 - val_categorical_accuracy: 0.8657 - 390ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1856 - categorical_accuracy: 0.9380 - val_loss: 0.3310 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1636 - categorical_accuracy: 0.9427 - val_loss: 0.3400 - val_categorical_accuracy: 0.8960 - 400ms/epoch - 8ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9464 - val_loss: 0.3244 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1630 - categorical_accuracy: 0.9431 - val_loss: 0.3429 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.1413 - categorical_accuracy: 0.9508 - val_loss: 0.3531 - val_categorical_accuracy: 0.8972 - 400ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1659 - categorical_accuracy: 0.9425 - val_loss: 0.3399 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1248 - categorical_accuracy: 0.9578 - val_loss: 0.3714 - val_categorical_accuracy: 0.8922 - 410ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1292 - categorical_accuracy: 0.9552 - val_loss: 0.3670 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1791 - categorical_accuracy: 0.9373 - val_loss: 0.4286 - val_categorical_accuracy: 0.8753 - 400ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1337 - categorical_accuracy: 0.9534 - val_loss: 0.3397 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.2045 - categorical_accuracy: 0.9312 - val_loss: 0.3299 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1247 - categorical_accuracy: 0.9570 - val_loss: 0.4297 - val_categorical_accuracy: 0.8706 - 390ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.1330 - categorical_accuracy: 0.9539 - val_loss: 0.3482 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.2019 - categorical_accuracy: 0.9297 - val_loss: 0.5869 - val_categorical_accuracy: 0.8238 - 400ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1366 - categorical_accuracy: 0.9528 - val_loss: 0.3470 - val_categorical_accuracy: 0.8969 - 440ms/epoch - 9ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1245 - categorical_accuracy: 0.9575 - val_loss: 0.3644 - val_categorical_accuracy: 0.8953 - 400ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9398 - val_loss: 0.3338 - val_categorical_accuracy: 0.9021 - 400ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1383 - categorical_accuracy: 0.9511 - val_loss: 0.3496 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 439/1500
49/49 - 0s - loss: 0.1751 - categorical_accuracy: 0.9396 - val_loss: 0.3246 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9555 - val_loss: 0.3422 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1942 - categorical_accuracy: 0.9383 - val_loss: 0.3803 - val_categorical_accuracy: 0.8841 - 390ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1231 - categorical_accuracy: 0.9581 - val_loss: 0.3408 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.1200 - categorical_accuracy: 0.9593 - val_loss: 0.3500 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.2342 - categorical_accuracy: 0.9251 - val_loss: 0.3420 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1185 - categorical_accuracy: 0.9606 - val_loss: 0.3342 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1279 - categorical_accuracy: 0.9556 - val_loss: 0.4288 - val_categorical_accuracy: 0.8786 - 400ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1522 - categorical_accuracy: 0.9480 - val_loss: 0.3593 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9606 - val_loss: 0.3507 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.3062 - categorical_accuracy: 0.9119 - val_loss: 0.3424 - val_categorical_accuracy: 0.8953 - 394ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1241 - categorical_accuracy: 0.9581 - val_loss: 0.3430 - val_categorical_accuracy: 0.9010 - 396ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1223 - categorical_accuracy: 0.9581 - val_loss: 0.4270 - val_categorical_accuracy: 0.8759 - 420ms/epoch - 9ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1567 - categorical_accuracy: 0.9463 - val_loss: 0.3333 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1217 - categorical_accuracy: 0.9578 - val_loss: 0.4187 - val_categorical_accuracy: 0.8821 - 400ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.2839 - categorical_accuracy: 0.9175 - val_loss: 0.3382 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.1182 - categorical_accuracy: 0.9605 - val_loss: 0.4128 - val_categorical_accuracy: 0.8813 - 396ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1269 - categorical_accuracy: 0.9556 - val_loss: 0.4112 - val_categorical_accuracy: 0.8824 - 400ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1345 - categorical_accuracy: 0.9533 - val_loss: 0.3466 - val_categorical_accuracy: 0.8994 - 430ms/epoch - 9ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1567 - categorical_accuracy: 0.9460 - val_loss: 0.3699 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1406 - categorical_accuracy: 0.9507 - val_loss: 0.3824 - val_categorical_accuracy: 0.8939 - 392ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1283 - categorical_accuracy: 0.9556 - val_loss: 0.3573 - val_categorical_accuracy: 0.8988 - 398ms/epoch - 8ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1727 - categorical_accuracy: 0.9431 - val_loss: 0.3852 - val_categorical_accuracy: 0.8832 - 400ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1310 - categorical_accuracy: 0.9551 - val_loss: 0.3632 - val_categorical_accuracy: 0.8954 - 390ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1545 - categorical_accuracy: 0.9471 - val_loss: 0.4153 - val_categorical_accuracy: 0.8807 - 400ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1259 - categorical_accuracy: 0.9561 - val_loss: 0.3906 - val_categorical_accuracy: 0.8912 - 390ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9548 - val_loss: 0.5589 - val_categorical_accuracy: 0.8425 - 420ms/epoch - 9ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1754 - categorical_accuracy: 0.9426 - val_loss: 0.3436 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9489 - val_loss: 0.3479 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1206 - categorical_accuracy: 0.9582 - val_loss: 0.4079 - val_categorical_accuracy: 0.8888 - 405ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1356 - categorical_accuracy: 0.9529 - val_loss: 0.3525 - val_categorical_accuracy: 0.9032 - 390ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.1589 - categorical_accuracy: 0.9453 - val_loss: 0.3748 - val_categorical_accuracy: 0.8920 - 400ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1147 - categorical_accuracy: 0.9611 - val_loss: 0.3869 - val_categorical_accuracy: 0.8879 - 400ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1255 - categorical_accuracy: 0.9563 - val_loss: 0.3925 - val_categorical_accuracy: 0.8909 - 400ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1902 - categorical_accuracy: 0.9392 - val_loss: 0.3721 - val_categorical_accuracy: 0.8896 - 390ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1197 - categorical_accuracy: 0.9600 - val_loss: 0.3428 - val_categorical_accuracy: 0.9061 - 405ms/epoch - 8ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1115 - categorical_accuracy: 0.9620 - val_loss: 0.4243 - val_categorical_accuracy: 0.8829 - 420ms/epoch - 9ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.2164 - categorical_accuracy: 0.9304 - val_loss: 0.3386 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1104 - categorical_accuracy: 0.9631 - val_loss: 0.3615 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.1758 - categorical_accuracy: 0.9429 - val_loss: 0.5067 - val_categorical_accuracy: 0.8475 - 400ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1284 - categorical_accuracy: 0.9559 - val_loss: 0.3490 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1169 - categorical_accuracy: 0.9598 - val_loss: 0.3847 - val_categorical_accuracy: 0.8906 - 400ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1615 - categorical_accuracy: 0.9470 - val_loss: 0.3549 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.1946 - categorical_accuracy: 0.9383 - val_loss: 0.3413 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1099 - categorical_accuracy: 0.9634 - val_loss: 0.3410 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1099 - categorical_accuracy: 0.9630 - val_loss: 0.3411 - val_categorical_accuracy: 0.9060 - 404ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1169 - categorical_accuracy: 0.9590 - val_loss: 0.4102 - val_categorical_accuracy: 0.8834 - 400ms/epoch - 8ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1260 - categorical_accuracy: 0.9561 - val_loss: 0.4323 - val_categorical_accuracy: 0.8798 - 390ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1569 - categorical_accuracy: 0.9460 - val_loss: 0.3617 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9495 - val_loss: 0.3611 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1653 - categorical_accuracy: 0.9456 - val_loss: 0.3304 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1096 - categorical_accuracy: 0.9633 - val_loss: 0.3601 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1047 - categorical_accuracy: 0.9640 - val_loss: 0.4091 - val_categorical_accuracy: 0.8826 - 420ms/epoch - 9ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.1236 - categorical_accuracy: 0.9571 - val_loss: 0.5950 - val_categorical_accuracy: 0.8420 - 390ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.3894 - categorical_accuracy: 0.8914 - val_loss: 0.3537 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1144 - categorical_accuracy: 0.9612 - val_loss: 0.3612 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1348 - categorical_accuracy: 0.9526 - val_loss: 0.6032 - val_categorical_accuracy: 0.8324 - 400ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9554 - val_loss: 0.3470 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1460 - categorical_accuracy: 0.9489 - val_loss: 0.3421 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1130 - categorical_accuracy: 0.9614 - val_loss: 0.4436 - val_categorical_accuracy: 0.8803 - 400ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1404 - categorical_accuracy: 0.9526 - val_loss: 0.3598 - val_categorical_accuracy: 0.9006 - 404ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1067 - categorical_accuracy: 0.9638 - val_loss: 0.3719 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1076 - categorical_accuracy: 0.9629 - val_loss: 0.4189 - val_categorical_accuracy: 0.8816 - 400ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9440 - val_loss: 0.3449 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1063 - categorical_accuracy: 0.9638 - val_loss: 0.3671 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9469 - val_loss: 0.3741 - val_categorical_accuracy: 0.8964 - 390ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.1092 - categorical_accuracy: 0.9625 - val_loss: 0.4256 - val_categorical_accuracy: 0.8814 - 430ms/epoch - 9ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1182 - categorical_accuracy: 0.9589 - val_loss: 0.3670 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1143 - categorical_accuracy: 0.9605 - val_loss: 0.4368 - val_categorical_accuracy: 0.8859 - 400ms/epoch - 8ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.2088 - categorical_accuracy: 0.9310 - val_loss: 0.3788 - val_categorical_accuracy: 0.8934 - 390ms/epoch - 8ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1128 - categorical_accuracy: 0.9609 - val_loss: 0.3574 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1017 - categorical_accuracy: 0.9656 - val_loss: 0.3494 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1037 - categorical_accuracy: 0.9641 - val_loss: 0.4222 - val_categorical_accuracy: 0.8895 - 400ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.2070 - categorical_accuracy: 0.9373 - val_loss: 0.3637 - val_categorical_accuracy: 0.9012 - 390ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9640 - val_loss: 0.4534 - val_categorical_accuracy: 0.8721 - 400ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1769 - categorical_accuracy: 0.9428 - val_loss: 0.3489 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1070 - categorical_accuracy: 0.9632 - val_loss: 0.3538 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1914 - categorical_accuracy: 0.9398 - val_loss: 0.3428 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9651 - val_loss: 0.3638 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.1559 - categorical_accuracy: 0.9469 - val_loss: 0.5129 - val_categorical_accuracy: 0.8549 - 400ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1148 - categorical_accuracy: 0.9605 - val_loss: 0.3596 - val_categorical_accuracy: 0.9011 - 420ms/epoch - 9ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1160 - categorical_accuracy: 0.9602 - val_loss: 0.4979 - val_categorical_accuracy: 0.8667 - 390ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9550 - val_loss: 0.3658 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1378 - categorical_accuracy: 0.9523 - val_loss: 0.3539 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9643 - val_loss: 0.3562 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1073 - categorical_accuracy: 0.9631 - val_loss: 0.3943 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1289 - categorical_accuracy: 0.9573 - val_loss: 1.1263 - val_categorical_accuracy: 0.7263 - 400ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1964 - categorical_accuracy: 0.9396 - val_loss: 0.3672 - val_categorical_accuracy: 0.9007 - 420ms/epoch - 9ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1027 - categorical_accuracy: 0.9648 - val_loss: 0.3795 - val_categorical_accuracy: 0.8967 - 400ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.1599 - categorical_accuracy: 0.9444 - val_loss: 0.3500 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1034 - categorical_accuracy: 0.9642 - val_loss: 0.3777 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.1638 - categorical_accuracy: 0.9447 - val_loss: 0.3994 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1123 - categorical_accuracy: 0.9613 - val_loss: 0.3740 - val_categorical_accuracy: 0.8963 - 400ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.1109 - categorical_accuracy: 0.9615 - val_loss: 0.3706 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1030 - categorical_accuracy: 0.9640 - val_loss: 0.3631 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9601 - val_loss: 0.5047 - val_categorical_accuracy: 0.8705 - 410ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1135 - categorical_accuracy: 0.9606 - val_loss: 0.4425 - val_categorical_accuracy: 0.8818 - 407ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1353 - categorical_accuracy: 0.9547 - val_loss: 0.3605 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9646 - val_loss: 0.3730 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.1010 - categorical_accuracy: 0.9649 - val_loss: 0.3964 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.3617 - categorical_accuracy: 0.8980 - val_loss: 0.3412 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.1086 - categorical_accuracy: 0.9628 - val_loss: 0.3735 - val_categorical_accuracy: 0.8998 - 400ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.0998 - categorical_accuracy: 0.9657 - val_loss: 0.3806 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9662 - val_loss: 0.3704 - val_categorical_accuracy: 0.9032 - 394ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1063 - categorical_accuracy: 0.9634 - val_loss: 0.5226 - val_categorical_accuracy: 0.8694 - 404ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1306 - categorical_accuracy: 0.9568 - val_loss: 0.3908 - val_categorical_accuracy: 0.8924 - 400ms/epoch - 8ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.1536 - categorical_accuracy: 0.9461 - val_loss: 0.3490 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.1038 - categorical_accuracy: 0.9640 - val_loss: 0.4283 - val_categorical_accuracy: 0.8903 - 400ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1450 - categorical_accuracy: 0.9513 - val_loss: 0.4139 - val_categorical_accuracy: 0.8880 - 400ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1015 - categorical_accuracy: 0.9651 - val_loss: 0.3661 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.1126 - categorical_accuracy: 0.9607 - val_loss: 0.8765 - val_categorical_accuracy: 0.7768 - 394ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.2039 - categorical_accuracy: 0.9405 - val_loss: 0.4211 - val_categorical_accuracy: 0.8792 - 390ms/epoch - 8ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1062 - categorical_accuracy: 0.9634 - val_loss: 0.3597 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9660 - val_loss: 0.3655 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9667 - val_loss: 0.4090 - val_categorical_accuracy: 0.8921 - 420ms/epoch - 9ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.2082 - categorical_accuracy: 0.9391 - val_loss: 0.3758 - val_categorical_accuracy: 0.8950 - 400ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9669 - val_loss: 0.3528 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.0978 - categorical_accuracy: 0.9665 - val_loss: 0.4478 - val_categorical_accuracy: 0.8806 - 400ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1006 - categorical_accuracy: 0.9653 - val_loss: 0.3589 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.1056 - categorical_accuracy: 0.9633 - val_loss: 0.3843 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9656 - val_loss: 0.4083 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.2684 - categorical_accuracy: 0.9237 - val_loss: 0.3546 - val_categorical_accuracy: 0.9026 - 430ms/epoch - 9ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9661 - val_loss: 0.3751 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.1087 - categorical_accuracy: 0.9619 - val_loss: 0.3727 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9659 - val_loss: 0.3632 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1190 - categorical_accuracy: 0.9577 - val_loss: 1.3915 - val_categorical_accuracy: 0.6939 - 400ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9415 - val_loss: 0.3646 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9667 - val_loss: 0.3910 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9662 - val_loss: 0.3792 - val_categorical_accuracy: 0.9016 - 420ms/epoch - 9ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9659 - val_loss: 0.3741 - val_categorical_accuracy: 0.9040 - 440ms/epoch - 9ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9654 - val_loss: 0.3683 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.1457 - categorical_accuracy: 0.9520 - val_loss: 0.3889 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.1961 - categorical_accuracy: 0.9380 - val_loss: 0.3479 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9678 - val_loss: 0.3919 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1078 - categorical_accuracy: 0.9621 - val_loss: 0.3796 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.1027 - categorical_accuracy: 0.9634 - val_loss: 0.3706 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.1066 - categorical_accuracy: 0.9629 - val_loss: 0.4211 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.0990 - categorical_accuracy: 0.9652 - val_loss: 0.3849 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9641 - val_loss: 0.4487 - val_categorical_accuracy: 0.8859 - 400ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.1791 - categorical_accuracy: 0.9420 - val_loss: 0.3633 - val_categorical_accuracy: 0.9073 - 420ms/epoch - 9ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9678 - val_loss: 0.4359 - val_categorical_accuracy: 0.8865 - 400ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.3486 - categorical_accuracy: 0.9089 - val_loss: 0.3512 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.0981 - categorical_accuracy: 0.9669 - val_loss: 0.3510 - val_categorical_accuracy: 0.9082 - 400ms/epoch - 8ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9683 - val_loss: 0.3913 - val_categorical_accuracy: 0.8994 - 397ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9459 - val_loss: 0.3604 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9684 - val_loss: 0.3631 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9681 - val_loss: 0.4210 - val_categorical_accuracy: 0.8928 - 390ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9415 - val_loss: 0.3660 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9681 - val_loss: 0.3654 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.1066 - categorical_accuracy: 0.9632 - val_loss: 0.4141 - val_categorical_accuracy: 0.8904 - 400ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.1608 - categorical_accuracy: 0.9472 - val_loss: 0.4410 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9654 - val_loss: 0.3836 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9659 - val_loss: 0.4233 - val_categorical_accuracy: 0.8915 - 400ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.1679 - categorical_accuracy: 0.9477 - val_loss: 0.3861 - val_categorical_accuracy: 0.8979 - 420ms/epoch - 9ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.0999 - categorical_accuracy: 0.9655 - val_loss: 0.4021 - val_categorical_accuracy: 0.8943 - 400ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.1746 - categorical_accuracy: 0.9465 - val_loss: 0.3687 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0956 - categorical_accuracy: 0.9681 - val_loss: 0.3686 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9679 - val_loss: 0.3929 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.1032 - categorical_accuracy: 0.9636 - val_loss: 0.5638 - val_categorical_accuracy: 0.8531 - 390ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.1507 - categorical_accuracy: 0.9509 - val_loss: 0.3920 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0969 - categorical_accuracy: 0.9663 - val_loss: 0.3851 - val_categorical_accuracy: 0.9010 - 420ms/epoch - 9ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9668 - val_loss: 0.4032 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0981 - categorical_accuracy: 0.9655 - val_loss: 0.4099 - val_categorical_accuracy: 0.8968 - 400ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9644 - val_loss: 0.3775 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9656 - val_loss: 0.3979 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.1828 - categorical_accuracy: 0.9441 - val_loss: 0.3690 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.0929 - categorical_accuracy: 0.9678 - val_loss: 0.3772 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9672 - val_loss: 0.3774 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.1015 - categorical_accuracy: 0.9644 - val_loss: 0.3830 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9646 - val_loss: 0.3862 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.0925 - categorical_accuracy: 0.9675 - val_loss: 0.4602 - val_categorical_accuracy: 0.8852 - 410ms/epoch - 8ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.1662 - categorical_accuracy: 0.9515 - val_loss: 0.4049 - val_categorical_accuracy: 0.8966 - 419ms/epoch - 9ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9675 - val_loss: 0.3771 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0927 - categorical_accuracy: 0.9676 - val_loss: 0.4026 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9672 - val_loss: 0.4008 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.5441 - categorical_accuracy: 0.8631 - val_loss: 0.3797 - val_categorical_accuracy: 0.8815 - 390ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1308 - categorical_accuracy: 0.9546 - val_loss: 0.3627 - val_categorical_accuracy: 0.8984 - 410ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0993 - categorical_accuracy: 0.9665 - val_loss: 0.3621 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9682 - val_loss: 0.3771 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9657 - val_loss: 0.3888 - val_categorical_accuracy: 0.9020 - 394ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9667 - val_loss: 0.4022 - val_categorical_accuracy: 0.9002 - 394ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.1396 - categorical_accuracy: 0.9535 - val_loss: 0.3778 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9678 - val_loss: 0.3947 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9673 - val_loss: 0.3965 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1148 - categorical_accuracy: 0.9607 - val_loss: 0.8167 - val_categorical_accuracy: 0.8299 - 430ms/epoch - 9ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9559 - val_loss: 0.4144 - val_categorical_accuracy: 0.8950 - 404ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9681 - val_loss: 0.3915 - val_categorical_accuracy: 0.9044 - 396ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9684 - val_loss: 0.4746 - val_categorical_accuracy: 0.8892 - 400ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.1823 - categorical_accuracy: 0.9417 - val_loss: 0.3870 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9685 - val_loss: 0.3874 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9698 - val_loss: 0.3983 - val_categorical_accuracy: 0.9007 - 394ms/epoch - 8ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9695 - val_loss: 0.3984 - val_categorical_accuracy: 0.9022 - 396ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0927 - categorical_accuracy: 0.9676 - val_loss: 0.4110 - val_categorical_accuracy: 0.9001 - 410ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9654 - val_loss: 0.3812 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.2725 - categorical_accuracy: 0.9278 - val_loss: 0.4085 - val_categorical_accuracy: 0.8766 - 400ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.1088 - categorical_accuracy: 0.9626 - val_loss: 0.3673 - val_categorical_accuracy: 0.9079 - 394ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0887 - categorical_accuracy: 0.9697 - val_loss: 0.3706 - val_categorical_accuracy: 0.9102 - 396ms/epoch - 8ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0867 - categorical_accuracy: 0.9698 - val_loss: 0.4109 - val_categorical_accuracy: 0.8949 - 400ms/epoch - 8ms/step
Epoch 637/1500
49/49 - 1s - loss: 0.2084 - categorical_accuracy: 0.9375 - val_loss: 0.3851 - val_categorical_accuracy: 0.9031 - 590ms/epoch - 12ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9686 - val_loss: 0.3742 - val_categorical_accuracy: 0.9088 - 410ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0854 - categorical_accuracy: 0.9704 - val_loss: 0.3815 - val_categorical_accuracy: 0.9049 - 404ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0884 - categorical_accuracy: 0.9692 - val_loss: 0.4198 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9678 - val_loss: 0.4370 - val_categorical_accuracy: 0.8965 - 400ms/epoch - 8ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.1492 - categorical_accuracy: 0.9528 - val_loss: 0.3972 - val_categorical_accuracy: 0.8987 - 420ms/epoch - 9ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9698 - val_loss: 0.4363 - val_categorical_accuracy: 0.8926 - 400ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.1258 - categorical_accuracy: 0.9567 - val_loss: 0.3899 - val_categorical_accuracy: 0.9076 - 395ms/epoch - 8ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0842 - categorical_accuracy: 0.9707 - val_loss: 0.4111 - val_categorical_accuracy: 0.8979 - 390ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.1571 - categorical_accuracy: 0.9489 - val_loss: 0.3971 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0894 - categorical_accuracy: 0.9685 - val_loss: 0.4121 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9699 - val_loss: 0.4127 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9688 - val_loss: 0.4214 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0870 - categorical_accuracy: 0.9692 - val_loss: 0.3993 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0877 - categorical_accuracy: 0.9695 - val_loss: 0.4221 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0909 - categorical_accuracy: 0.9675 - val_loss: 0.4060 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.0899 - categorical_accuracy: 0.9678 - val_loss: 0.3968 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9695 - val_loss: 0.4077 - val_categorical_accuracy: 0.9038 - 414ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.1870 - categorical_accuracy: 0.9433 - val_loss: 0.3671 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0853 - categorical_accuracy: 0.9707 - val_loss: 0.4177 - val_categorical_accuracy: 0.8963 - 420ms/epoch - 9ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.2056 - categorical_accuracy: 0.9404 - val_loss: 0.3807 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.0879 - categorical_accuracy: 0.9696 - val_loss: 0.4275 - val_categorical_accuracy: 0.8944 - 390ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0864 - categorical_accuracy: 0.9698 - val_loss: 0.4845 - val_categorical_accuracy: 0.8828 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.1458 - categorical_accuracy: 0.9544 - val_loss: 0.3892 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9706 - val_loss: 0.4565 - val_categorical_accuracy: 0.8918 - 390ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9667 - val_loss: 0.4194 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.1940 - categorical_accuracy: 0.9407 - val_loss: 0.4006 - val_categorical_accuracy: 0.8939 - 430ms/epoch - 9ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.0892 - categorical_accuracy: 0.9694 - val_loss: 0.3996 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0902 - categorical_accuracy: 0.9678 - val_loss: 0.4278 - val_categorical_accuracy: 0.8959 - 400ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.1243 - categorical_accuracy: 0.9585 - val_loss: 0.4006 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9704 - val_loss: 0.4074 - val_categorical_accuracy: 0.8975 - 400ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9695 - val_loss: 0.4483 - val_categorical_accuracy: 0.8896 - 400ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.1375 - categorical_accuracy: 0.9545 - val_loss: 0.3865 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0844 - categorical_accuracy: 0.9705 - val_loss: 0.3882 - val_categorical_accuracy: 0.9040 - 395ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9698 - val_loss: 0.3950 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1724 - categorical_accuracy: 0.9468 - val_loss: 0.4700 - val_categorical_accuracy: 0.8706 - 390ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.0934 - categorical_accuracy: 0.9673 - val_loss: 0.4145 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0827 - categorical_accuracy: 0.9714 - val_loss: 0.4403 - val_categorical_accuracy: 0.8966 - 400ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9684 - val_loss: 0.4054 - val_categorical_accuracy: 0.9050 - 410ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9697 - val_loss: 0.3899 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9702 - val_loss: 0.4108 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9679 - val_loss: 0.5721 - val_categorical_accuracy: 0.8661 - 390ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.2776 - categorical_accuracy: 0.9277 - val_loss: 0.3929 - val_categorical_accuracy: 0.8956 - 390ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9707 - val_loss: 0.3905 - val_categorical_accuracy: 0.9050 - 410ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9706 - val_loss: 0.4001 - val_categorical_accuracy: 0.9069 - 430ms/epoch - 9ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9704 - val_loss: 0.4534 - val_categorical_accuracy: 0.8913 - 400ms/epoch - 8ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.2515 - categorical_accuracy: 0.9332 - val_loss: 0.3706 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9714 - val_loss: 0.4209 - val_categorical_accuracy: 0.8925 - 390ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0856 - categorical_accuracy: 0.9700 - val_loss: 0.3841 - val_categorical_accuracy: 0.9102 - 399ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9700 - val_loss: 0.4675 - val_categorical_accuracy: 0.8840 - 400ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.0966 - categorical_accuracy: 0.9661 - val_loss: 0.8962 - val_categorical_accuracy: 0.8106 - 390ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.1557 - categorical_accuracy: 0.9521 - val_loss: 0.4256 - val_categorical_accuracy: 0.8941 - 398ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0880 - categorical_accuracy: 0.9694 - val_loss: 0.4144 - val_categorical_accuracy: 0.8990 - 420ms/epoch - 9ms/step
Epoch 690/1500
49/49 - 0s - loss: 0.0890 - categorical_accuracy: 0.9692 - val_loss: 0.3981 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0859 - categorical_accuracy: 0.9700 - val_loss: 0.4338 - val_categorical_accuracy: 0.8975 - 400ms/epoch - 8ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0900 - categorical_accuracy: 0.9681 - val_loss: 0.4162 - val_categorical_accuracy: 0.9003 - 404ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9693 - val_loss: 0.5472 - val_categorical_accuracy: 0.8694 - 420ms/epoch - 9ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1347 - categorical_accuracy: 0.9569 - val_loss: 0.3813 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0906 - categorical_accuracy: 0.9678 - val_loss: 0.3941 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9714 - val_loss: 0.4014 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9711 - val_loss: 0.4061 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.2354 - categorical_accuracy: 0.9307 - val_loss: 0.3839 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.0834 - categorical_accuracy: 0.9714 - val_loss: 0.4474 - val_categorical_accuracy: 0.8815 - 395ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0936 - categorical_accuracy: 0.9678 - val_loss: 0.4010 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9705 - val_loss: 0.4820 - val_categorical_accuracy: 0.8886 - 410ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.1830 - categorical_accuracy: 0.9453 - val_loss: 0.3898 - val_categorical_accuracy: 0.9052 - 420ms/epoch - 9ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9726 - val_loss: 0.3903 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9709 - val_loss: 0.4257 - val_categorical_accuracy: 0.8987 - 390ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0823 - categorical_accuracy: 0.9709 - val_loss: 0.4548 - val_categorical_accuracy: 0.8896 - 390ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.1438 - categorical_accuracy: 0.9557 - val_loss: 0.4091 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0829 - categorical_accuracy: 0.9713 - val_loss: 0.3983 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.0780 - categorical_accuracy: 0.9728 - val_loss: 0.4013 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9485 - val_loss: 0.4148 - val_categorical_accuracy: 0.8950 - 410ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0855 - categorical_accuracy: 0.9707 - val_loss: 0.3908 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9721 - val_loss: 0.4200 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9702 - val_loss: 0.4327 - val_categorical_accuracy: 0.8922 - 400ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.1514 - categorical_accuracy: 0.9522 - val_loss: 0.5731 - val_categorical_accuracy: 0.8483 - 390ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0988 - categorical_accuracy: 0.9652 - val_loss: 0.4184 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9724 - val_loss: 0.4088 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9726 - val_loss: 0.4254 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.2713 - categorical_accuracy: 0.9262 - val_loss: 0.4018 - val_categorical_accuracy: 0.8922 - 410ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0911 - categorical_accuracy: 0.9687 - val_loss: 0.3768 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0876 - categorical_accuracy: 0.9696 - val_loss: 0.3792 - val_categorical_accuracy: 0.9124 - 395ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9724 - val_loss: 0.4281 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9711 - val_loss: 0.5602 - val_categorical_accuracy: 0.8799 - 410ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.1555 - categorical_accuracy: 0.9538 - val_loss: 0.4083 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9713 - val_loss: 0.4482 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0875 - categorical_accuracy: 0.9689 - val_loss: 0.4016 - val_categorical_accuracy: 0.9083 - 410ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0808 - categorical_accuracy: 0.9714 - val_loss: 0.4874 - val_categorical_accuracy: 0.8855 - 400ms/epoch - 8ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.1987 - categorical_accuracy: 0.9443 - val_loss: 0.3949 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9724 - val_loss: 0.3995 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.1015 - categorical_accuracy: 0.9645 - val_loss: 0.8385 - val_categorical_accuracy: 0.8412 - 390ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.1271 - categorical_accuracy: 0.9599 - val_loss: 0.3879 - val_categorical_accuracy: 0.9079 - 394ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9722 - val_loss: 0.4501 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0831 - categorical_accuracy: 0.9708 - val_loss: 0.4336 - val_categorical_accuracy: 0.9011 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9710 - val_loss: 0.4449 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9726 - val_loss: 0.4255 - val_categorical_accuracy: 0.9049 - 420ms/epoch - 9ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.1386 - categorical_accuracy: 0.9560 - val_loss: 0.4167 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9718 - val_loss: 0.4065 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9726 - val_loss: 0.4310 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0878 - categorical_accuracy: 0.9694 - val_loss: 0.4384 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9721 - val_loss: 0.4274 - val_categorical_accuracy: 0.9039 - 420ms/epoch - 9ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9687 - val_loss: 1.2808 - val_categorical_accuracy: 0.7857 - 400ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.3561 - categorical_accuracy: 0.9081 - val_loss: 0.3879 - val_categorical_accuracy: 0.9036 - 410ms/epoch - 8ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9715 - val_loss: 0.3868 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0795 - categorical_accuracy: 0.9724 - val_loss: 0.4039 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9729 - val_loss: 0.4180 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9729 - val_loss: 0.4268 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9699 - val_loss: 0.4103 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.1165 - categorical_accuracy: 0.9609 - val_loss: 0.8449 - val_categorical_accuracy: 0.8335 - 400ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.1143 - categorical_accuracy: 0.9625 - val_loss: 0.4124 - val_categorical_accuracy: 0.9042 - 420ms/epoch - 9ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0798 - categorical_accuracy: 0.9724 - val_loss: 0.4209 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9726 - val_loss: 0.4070 - val_categorical_accuracy: 0.9069 - 405ms/epoch - 8ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9712 - val_loss: 0.4489 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0972 - categorical_accuracy: 0.9653 - val_loss: 0.4481 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9718 - val_loss: 0.4259 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9726 - val_loss: 0.4250 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9724 - val_loss: 0.4429 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9721 - val_loss: 0.4760 - val_categorical_accuracy: 0.8958 - 400ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0791 - categorical_accuracy: 0.9719 - val_loss: 0.4687 - val_categorical_accuracy: 0.8967 - 400ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.2149 - categorical_accuracy: 0.9401 - val_loss: 0.4017 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9706 - val_loss: 0.4051 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9714 - val_loss: 0.4315 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9725 - val_loss: 0.4150 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9717 - val_loss: 0.5044 - val_categorical_accuracy: 0.8803 - 400ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0829 - categorical_accuracy: 0.9709 - val_loss: 0.4536 - val_categorical_accuracy: 0.9009 - 420ms/epoch - 9ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.1611 - categorical_accuracy: 0.9478 - val_loss: 0.4282 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9728 - val_loss: 0.4486 - val_categorical_accuracy: 0.8941 - 394ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0880 - categorical_accuracy: 0.9698 - val_loss: 0.4642 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9700 - val_loss: 0.4605 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9713 - val_loss: 0.4246 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0839 - categorical_accuracy: 0.9700 - val_loss: 0.4269 - val_categorical_accuracy: 0.9035 - 420ms/epoch - 9ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9740 - val_loss: 0.4137 - val_categorical_accuracy: 0.9101 - 395ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9743 - val_loss: 0.4228 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9720 - val_loss: 0.4630 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9711 - val_loss: 0.4372 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9729 - val_loss: 0.4953 - val_categorical_accuracy: 0.8888 - 420ms/epoch - 9ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.2676 - categorical_accuracy: 0.9270 - val_loss: 0.4028 - val_categorical_accuracy: 0.9031 - 434ms/epoch - 9ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9725 - val_loss: 0.4067 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9743 - val_loss: 0.4278 - val_categorical_accuracy: 0.9044 - 390ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.1305 - categorical_accuracy: 0.9572 - val_loss: 0.4012 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9742 - val_loss: 0.4207 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.1561 - categorical_accuracy: 0.9543 - val_loss: 0.3971 - val_categorical_accuracy: 0.9103 - 394ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9737 - val_loss: 0.4617 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9719 - val_loss: 0.4293 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9713 - val_loss: 0.4312 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9726 - val_loss: 0.4598 - val_categorical_accuracy: 0.8959 - 420ms/epoch - 9ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0797 - categorical_accuracy: 0.9719 - val_loss: 0.4254 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9733 - val_loss: 0.4233 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9728 - val_loss: 0.4668 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9734 - val_loss: 0.4243 - val_categorical_accuracy: 0.9128 - 400ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9730 - val_loss: 0.4735 - val_categorical_accuracy: 0.8940 - 400ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0847 - categorical_accuracy: 0.9698 - val_loss: 0.4769 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0792 - categorical_accuracy: 0.9719 - val_loss: 0.6106 - val_categorical_accuracy: 0.8692 - 400ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.2814 - categorical_accuracy: 0.9259 - val_loss: 0.3962 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9731 - val_loss: 0.4581 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.1229 - categorical_accuracy: 0.9586 - val_loss: 0.4209 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0757 - categorical_accuracy: 0.9732 - val_loss: 0.4149 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9739 - val_loss: 0.4219 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9740 - val_loss: 0.4309 - val_categorical_accuracy: 0.9046 - 430ms/epoch - 9ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0973 - categorical_accuracy: 0.9654 - val_loss: 0.4303 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9749 - val_loss: 0.4386 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9743 - val_loss: 0.4406 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.1963 - categorical_accuracy: 0.9450 - val_loss: 0.6009 - val_categorical_accuracy: 0.8290 - 400ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9655 - val_loss: 0.4152 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9744 - val_loss: 0.4561 - val_categorical_accuracy: 0.8962 - 400ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9727 - val_loss: 0.4510 - val_categorical_accuracy: 0.9011 - 400ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9734 - val_loss: 0.4490 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.1562 - categorical_accuracy: 0.9534 - val_loss: 0.4338 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9736 - val_loss: 0.4345 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9750 - val_loss: 0.4362 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9740 - val_loss: 0.4403 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9744 - val_loss: 0.4396 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.1033 - categorical_accuracy: 0.9664 - val_loss: 0.8026 - val_categorical_accuracy: 0.8054 - 400ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.1673 - categorical_accuracy: 0.9493 - val_loss: 0.4179 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9745 - val_loss: 0.4047 - val_categorical_accuracy: 0.9120 - 400ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9740 - val_loss: 0.4285 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0737 - categorical_accuracy: 0.9741 - val_loss: 0.4298 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9742 - val_loss: 0.4571 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.1069 - categorical_accuracy: 0.9646 - val_loss: 0.8666 - val_categorical_accuracy: 0.8083 - 400ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.2103 - categorical_accuracy: 0.9401 - val_loss: 0.4062 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0760 - categorical_accuracy: 0.9735 - val_loss: 0.4318 - val_categorical_accuracy: 0.9033 - 400ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9740 - val_loss: 0.4622 - val_categorical_accuracy: 0.8944 - 400ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9741 - val_loss: 0.4334 - val_categorical_accuracy: 0.9040 - 410ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9727 - val_loss: 0.5279 - val_categorical_accuracy: 0.8752 - 420ms/epoch - 9ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.2368 - categorical_accuracy: 0.9370 - val_loss: 0.4305 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9734 - val_loss: 0.4059 - val_categorical_accuracy: 0.9103 - 400ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9734 - val_loss: 0.4190 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9737 - val_loss: 0.4637 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9734 - val_loss: 0.4190 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9752 - val_loss: 0.4409 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9736 - val_loss: 0.4253 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9711 - val_loss: 0.4351 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0894 - categorical_accuracy: 0.9683 - val_loss: 0.4486 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9737 - val_loss: 0.4546 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9752 - val_loss: 0.4414 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.1542 - categorical_accuracy: 0.9564 - val_loss: 0.7873 - val_categorical_accuracy: 0.8117 - 400ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.1118 - categorical_accuracy: 0.9619 - val_loss: 0.4189 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9731 - val_loss: 0.4422 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9751 - val_loss: 0.4803 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.1951 - categorical_accuracy: 0.9432 - val_loss: 0.4171 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9751 - val_loss: 0.4279 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9752 - val_loss: 0.4622 - val_categorical_accuracy: 0.8988 - 390ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9743 - val_loss: 0.4408 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9715 - val_loss: 0.4451 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9752 - val_loss: 0.4300 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9753 - val_loss: 0.4592 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9717 - val_loss: 0.4485 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9749 - val_loss: 0.4587 - val_categorical_accuracy: 0.9061 - 420ms/epoch - 9ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9700 - val_loss: 0.4903 - val_categorical_accuracy: 0.8947 - 400ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9745 - val_loss: 0.4727 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0781 - categorical_accuracy: 0.9720 - val_loss: 0.4532 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9743 - val_loss: 0.4696 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9754 - val_loss: 0.4858 - val_categorical_accuracy: 0.8971 - 400ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9724 - val_loss: 0.4997 - val_categorical_accuracy: 0.8951 - 400ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9737 - val_loss: 0.4529 - val_categorical_accuracy: 0.9072 - 420ms/epoch - 9ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.1717 - categorical_accuracy: 0.9468 - val_loss: 0.4350 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9746 - val_loss: 0.4344 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9724 - val_loss: 0.4763 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9702 - val_loss: 2.9794 - val_categorical_accuracy: 0.5768 - 400ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.2761 - categorical_accuracy: 0.9294 - val_loss: 0.4158 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9737 - val_loss: 0.4271 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9755 - val_loss: 0.4333 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 1s - loss: 0.0702 - categorical_accuracy: 0.9750 - val_loss: 0.4493 - val_categorical_accuracy: 0.9024 - 590ms/epoch - 12ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9751 - val_loss: 0.4684 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0806 - categorical_accuracy: 0.9708 - val_loss: 0.4406 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9744 - val_loss: 0.4317 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9736 - val_loss: 0.4656 - val_categorical_accuracy: 0.8998 - 398ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9750 - val_loss: 0.4451 - val_categorical_accuracy: 0.9093 - 440ms/epoch - 9ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9733 - val_loss: 0.4651 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.1011 - categorical_accuracy: 0.9671 - val_loss: 2.1506 - val_categorical_accuracy: 0.6662 - 390ms/epoch - 8ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.2208 - categorical_accuracy: 0.9403 - val_loss: 0.4191 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9744 - val_loss: 0.4441 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9746 - val_loss: 0.4501 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9743 - val_loss: 0.4533 - val_categorical_accuracy: 0.9041 - 420ms/epoch - 9ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9740 - val_loss: 0.4355 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9741 - val_loss: 0.4375 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.3053 - categorical_accuracy: 0.9231 - val_loss: 0.3951 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0883 - categorical_accuracy: 0.9695 - val_loss: 0.4046 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9755 - val_loss: 0.4578 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9755 - val_loss: 0.4747 - val_categorical_accuracy: 0.8888 - 400ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9724 - val_loss: 0.4997 - val_categorical_accuracy: 0.8913 - 400ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.1280 - categorical_accuracy: 0.9601 - val_loss: 0.4160 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0738 - categorical_accuracy: 0.9740 - val_loss: 0.4430 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9751 - val_loss: 0.4817 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9731 - val_loss: 0.4569 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9748 - val_loss: 0.4530 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9745 - val_loss: 0.4585 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9740 - val_loss: 0.4550 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0684 - categorical_accuracy: 0.9752 - val_loss: 0.4912 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9741 - val_loss: 0.4582 - val_categorical_accuracy: 0.9027 - 410ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9742 - val_loss: 0.4970 - val_categorical_accuracy: 0.8943 - 440ms/epoch - 9ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.2541 - categorical_accuracy: 0.9337 - val_loss: 0.4081 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9748 - val_loss: 0.4356 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9764 - val_loss: 0.4325 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9761 - val_loss: 0.4544 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9732 - val_loss: 0.4712 - val_categorical_accuracy: 0.9022 - 394ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9760 - val_loss: 0.4795 - val_categorical_accuracy: 0.8998 - 396ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9729 - val_loss: 0.5310 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9438 - val_loss: 0.4134 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9758 - val_loss: 0.4357 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9763 - val_loss: 0.4532 - val_categorical_accuracy: 0.9030 - 414ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9700 - val_loss: 0.4473 - val_categorical_accuracy: 0.9104 - 396ms/epoch - 8ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9760 - val_loss: 0.4862 - val_categorical_accuracy: 0.8967 - 390ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9745 - val_loss: 0.4647 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9756 - val_loss: 0.4664 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9764 - val_loss: 0.5008 - val_categorical_accuracy: 0.8966 - 424ms/epoch - 9ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9755 - val_loss: 0.4852 - val_categorical_accuracy: 0.9049 - 436ms/epoch - 9ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9735 - val_loss: 0.4749 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9745 - val_loss: 0.5706 - val_categorical_accuracy: 0.8838 - 390ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.2599 - categorical_accuracy: 0.9333 - val_loss: 0.4230 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9742 - val_loss: 0.4977 - val_categorical_accuracy: 0.8861 - 394ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9742 - val_loss: 0.4405 - val_categorical_accuracy: 0.9067 - 396ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9761 - val_loss: 0.4509 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9757 - val_loss: 0.4967 - val_categorical_accuracy: 0.8942 - 400ms/epoch - 8ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9713 - val_loss: 0.4845 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9734 - val_loss: 0.4505 - val_categorical_accuracy: 0.9057 - 394ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9739 - val_loss: 0.4870 - val_categorical_accuracy: 0.8966 - 396ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9748 - val_loss: 0.4884 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9753 - val_loss: 0.4622 - val_categorical_accuracy: 0.9067 - 410ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9759 - val_loss: 0.4518 - val_categorical_accuracy: 0.9074 - 414ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9763 - val_loss: 0.4692 - val_categorical_accuracy: 0.9047 - 394ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9748 - val_loss: 0.5241 - val_categorical_accuracy: 0.8944 - 396ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.1699 - categorical_accuracy: 0.9521 - val_loss: 0.4476 - val_categorical_accuracy: 0.9024 - 390ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.4552 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9742 - val_loss: 0.4901 - val_categorical_accuracy: 0.8993 - 400ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.1593 - categorical_accuracy: 0.9503 - val_loss: 0.4372 - val_categorical_accuracy: 0.9055 - 404ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9758 - val_loss: 0.4816 - val_categorical_accuracy: 0.8984 - 416ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9749 - val_loss: 0.4564 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9760 - val_loss: 0.4902 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.1335 - categorical_accuracy: 0.9580 - val_loss: 0.4188 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9751 - val_loss: 0.4656 - val_categorical_accuracy: 0.8957 - 394ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0732 - categorical_accuracy: 0.9738 - val_loss: 0.4513 - val_categorical_accuracy: 0.9096 - 396ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9765 - val_loss: 0.4586 - val_categorical_accuracy: 0.9059 - 420ms/epoch - 9ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9755 - val_loss: 0.4457 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.0740 - categorical_accuracy: 0.9744 - val_loss: 0.4486 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9763 - val_loss: 0.4817 - val_categorical_accuracy: 0.9032 - 394ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9739 - val_loss: 0.6281 - val_categorical_accuracy: 0.8680 - 396ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.1495 - categorical_accuracy: 0.9532 - val_loss: 0.4382 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9766 - val_loss: 0.4663 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9764 - val_loss: 0.4879 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9753 - val_loss: 0.4876 - val_categorical_accuracy: 0.9014 - 394ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9742 - val_loss: 0.7247 - val_categorical_accuracy: 0.8450 - 396ms/epoch - 8ms/step
Epoch 940/1500
49/49 - 0s - loss: 0.1654 - categorical_accuracy: 0.9516 - val_loss: 0.4607 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9764 - val_loss: 0.4875 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9755 - val_loss: 0.4447 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9777 - val_loss: 0.4892 - val_categorical_accuracy: 0.8964 - 414ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9712 - val_loss: 0.4883 - val_categorical_accuracy: 0.9050 - 406ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9751 - val_loss: 0.4771 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.2263 - categorical_accuracy: 0.9398 - val_loss: 0.4555 - val_categorical_accuracy: 0.8985 - 400ms/epoch - 8ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9756 - val_loss: 0.4600 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9753 - val_loss: 0.4704 - val_categorical_accuracy: 0.9021 - 394ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9760 - val_loss: 0.4604 - val_categorical_accuracy: 0.9041 - 396ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9759 - val_loss: 0.4624 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9761 - val_loss: 0.4608 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9761 - val_loss: 0.4647 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9757 - val_loss: 0.4606 - val_categorical_accuracy: 0.9077 - 414ms/epoch - 8ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9741 - val_loss: 0.5574 - val_categorical_accuracy: 0.8807 - 396ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.1940 - categorical_accuracy: 0.9439 - val_loss: 0.4566 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0658 - categorical_accuracy: 0.9770 - val_loss: 0.4738 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0742 - categorical_accuracy: 0.9734 - val_loss: 0.4738 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9768 - val_loss: 0.4609 - val_categorical_accuracy: 0.9086 - 414ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9701 - val_loss: 0.5025 - val_categorical_accuracy: 0.9003 - 396ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9740 - val_loss: 0.6247 - val_categorical_accuracy: 0.8665 - 400ms/epoch - 8ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9476 - val_loss: 0.4596 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9769 - val_loss: 0.4746 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9761 - val_loss: 0.4775 - val_categorical_accuracy: 0.9056 - 404ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9768 - val_loss: 0.4759 - val_categorical_accuracy: 0.9056 - 416ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9761 - val_loss: 0.4986 - val_categorical_accuracy: 0.8985 - 390ms/epoch - 8ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9764 - val_loss: 0.4857 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.4732 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.1922 - categorical_accuracy: 0.9438 - val_loss: 0.4823 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9729 - val_loss: 0.4581 - val_categorical_accuracy: 0.9058 - 404ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9769 - val_loss: 0.4647 - val_categorical_accuracy: 0.9032 - 420ms/epoch - 9ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0648 - categorical_accuracy: 0.9769 - val_loss: 0.4650 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9760 - val_loss: 0.4564 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9772 - val_loss: 0.5034 - val_categorical_accuracy: 0.8980 - 394ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.1878 - categorical_accuracy: 0.9482 - val_loss: 0.4246 - val_categorical_accuracy: 0.9106 - 396ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9766 - val_loss: 0.4469 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9777 - val_loss: 0.4520 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9768 - val_loss: 0.4893 - val_categorical_accuracy: 0.9020 - 420ms/epoch - 9ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.1243 - categorical_accuracy: 0.9609 - val_loss: 0.4744 - val_categorical_accuracy: 0.9051 - 425ms/epoch - 9ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9772 - val_loss: 0.4781 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9745 - val_loss: 0.4625 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9762 - val_loss: 0.4588 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9765 - val_loss: 0.5224 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0721 - categorical_accuracy: 0.9742 - val_loss: 0.4694 - val_categorical_accuracy: 0.9030 - 424ms/epoch - 9ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9768 - val_loss: 0.4864 - val_categorical_accuracy: 0.9012 - 406ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.5236 - categorical_accuracy: 0.8835 - val_loss: 0.5849 - val_categorical_accuracy: 0.8116 - 398ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.1913 - categorical_accuracy: 0.9319 - val_loss: 0.4295 - val_categorical_accuracy: 0.8948 - 400ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9687 - val_loss: 0.4239 - val_categorical_accuracy: 0.9019 - 397ms/epoch - 8ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9745 - val_loss: 0.4220 - val_categorical_accuracy: 0.9112 - 404ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9754 - val_loss: 0.4334 - val_categorical_accuracy: 0.9086 - 406ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4511 - val_categorical_accuracy: 0.9058 - 398ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9765 - val_loss: 0.4675 - val_categorical_accuracy: 0.9058 - 394ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9767 - val_loss: 0.4656 - val_categorical_accuracy: 0.9046 - 394ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9764 - val_loss: 0.4467 - val_categorical_accuracy: 0.9084 - 394ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0685 - categorical_accuracy: 0.9749 - val_loss: 0.4534 - val_categorical_accuracy: 0.9095 - 406ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9772 - val_loss: 0.4885 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0651 - categorical_accuracy: 0.9766 - val_loss: 0.6087 - val_categorical_accuracy: 0.8744 - 390ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9753 - val_loss: 0.4567 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9768 - val_loss: 0.4795 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9759 - val_loss: 0.4902 - val_categorical_accuracy: 0.9034 - 398ms/epoch - 8ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9746 - val_loss: 0.4991 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.1472 - categorical_accuracy: 0.9553 - val_loss: 0.4498 - val_categorical_accuracy: 0.9096 - 420ms/epoch - 9ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9770 - val_loss: 0.4665 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9774 - val_loss: 0.4770 - val_categorical_accuracy: 0.9039 - 394ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9775 - val_loss: 0.4882 - val_categorical_accuracy: 0.9027 - 391ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9762 - val_loss: 0.5916 - val_categorical_accuracy: 0.8812 - 400ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9593 - val_loss: 0.4607 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9752 - val_loss: 0.4757 - val_categorical_accuracy: 0.9042 - 430ms/epoch - 9ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.4906 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9773 - val_loss: 0.4916 - val_categorical_accuracy: 0.9010 - 396ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9766 - val_loss: 0.4675 - val_categorical_accuracy: 0.9100 - 400ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9768 - val_loss: 0.4880 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9754 - val_loss: 0.4858 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9768 - val_loss: 0.5270 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9770 - val_loss: 0.4880 - val_categorical_accuracy: 0.9036 - 388ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9776 - val_loss: 0.5811 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.2146 - categorical_accuracy: 0.9442 - val_loss: 0.4504 - val_categorical_accuracy: 0.9031 - 410ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9768 - val_loss: 0.4598 - val_categorical_accuracy: 0.9084 - 430ms/epoch - 9ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9781 - val_loss: 0.4580 - val_categorical_accuracy: 0.9080 - 394ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9768 - val_loss: 0.5020 - val_categorical_accuracy: 0.8932 - 396ms/epoch - 8ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9753 - val_loss: 0.4541 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9777 - val_loss: 0.4783 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9770 - val_loss: 0.5165 - val_categorical_accuracy: 0.8982 - 400ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9751 - val_loss: 0.4907 - val_categorical_accuracy: 0.9066 - 404ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9773 - val_loss: 0.4690 - val_categorical_accuracy: 0.9098 - 396ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.5000 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9772 - val_loss: 0.5857 - val_categorical_accuracy: 0.8793 - 390ms/epoch - 8ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.2055 - categorical_accuracy: 0.9456 - val_loss: 0.4425 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9772 - val_loss: 0.4552 - val_categorical_accuracy: 0.9100 - 400ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9774 - val_loss: 0.4833 - val_categorical_accuracy: 0.9040 - 398ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9776 - val_loss: 0.4677 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9771 - val_loss: 0.4744 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9776 - val_loss: 0.5106 - val_categorical_accuracy: 0.9007 - 410ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9741 - val_loss: 0.4779 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0667 - categorical_accuracy: 0.9759 - val_loss: 0.4838 - val_categorical_accuracy: 0.9087 - 388ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9767 - val_loss: 0.4882 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9766 - val_loss: 0.4832 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9770 - val_loss: 0.4840 - val_categorical_accuracy: 0.9091 - 420ms/epoch - 9ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.2690 - categorical_accuracy: 0.9304 - val_loss: 0.4326 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9749 - val_loss: 0.4494 - val_categorical_accuracy: 0.9076 - 398ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9778 - val_loss: 0.4535 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9788 - val_loss: 0.4709 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9742 - val_loss: 0.4581 - val_categorical_accuracy: 0.9123 - 420ms/epoch - 9ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9778 - val_loss: 0.4989 - val_categorical_accuracy: 0.9030 - 394ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9775 - val_loss: 0.4733 - val_categorical_accuracy: 0.9108 - 396ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9781 - val_loss: 0.4779 - val_categorical_accuracy: 0.9103 - 400ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9777 - val_loss: 0.4897 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9764 - val_loss: 0.5221 - val_categorical_accuracy: 0.8948 - 390ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.1725 - categorical_accuracy: 0.9503 - val_loss: 0.4539 - val_categorical_accuracy: 0.9066 - 404ms/epoch - 8ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9779 - val_loss: 0.4658 - val_categorical_accuracy: 0.9062 - 396ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9791 - val_loss: 0.4885 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9767 - val_loss: 0.4968 - val_categorical_accuracy: 0.9008 - 400ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9747 - val_loss: 0.4696 - val_categorical_accuracy: 0.9091 - 420ms/epoch - 9ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9773 - val_loss: 0.5009 - val_categorical_accuracy: 0.9041 - 394ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.2033 - categorical_accuracy: 0.9457 - val_loss: 0.4573 - val_categorical_accuracy: 0.9036 - 396ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9777 - val_loss: 0.4741 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9782 - val_loss: 0.4682 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9773 - val_loss: 0.4623 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9788 - val_loss: 0.5290 - val_categorical_accuracy: 0.8969 - 404ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.1501 - categorical_accuracy: 0.9559 - val_loss: 0.4506 - val_categorical_accuracy: 0.9065 - 396ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9772 - val_loss: 0.4649 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9772 - val_loss: 0.5175 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9776 - val_loss: 0.4703 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9787 - val_loss: 0.4629 - val_categorical_accuracy: 0.9134 - 404ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9784 - val_loss: 0.5206 - val_categorical_accuracy: 0.8987 - 426ms/epoch - 9ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9753 - val_loss: 0.4877 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9763 - val_loss: 0.5225 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9768 - val_loss: 0.5113 - val_categorical_accuracy: 0.9011 - 394ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9763 - val_loss: 0.5310 - val_categorical_accuracy: 0.8970 - 394ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.4056 - categorical_accuracy: 0.8976 - val_loss: 0.4219 - val_categorical_accuracy: 0.9049 - 406ms/epoch - 8ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9746 - val_loss: 0.4476 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9775 - val_loss: 0.4597 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9786 - val_loss: 0.4747 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9778 - val_loss: 0.5163 - val_categorical_accuracy: 0.8896 - 394ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9761 - val_loss: 0.4740 - val_categorical_accuracy: 0.9062 - 396ms/epoch - 8ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9785 - val_loss: 0.5150 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9782 - val_loss: 0.4972 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9773 - val_loss: 0.4799 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9773 - val_loss: 0.5046 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9779 - val_loss: 0.5056 - val_categorical_accuracy: 0.9033 - 398ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9776 - val_loss: 0.4926 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9767 - val_loss: 0.4878 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9780 - val_loss: 0.5082 - val_categorical_accuracy: 0.9016 - 420ms/epoch - 9ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.2180 - categorical_accuracy: 0.9439 - val_loss: 0.4549 - val_categorical_accuracy: 0.9053 - 414ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9780 - val_loss: 0.4886 - val_categorical_accuracy: 0.9007 - 406ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.0624 - categorical_accuracy: 0.9777 - val_loss: 0.4772 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9767 - val_loss: 0.4728 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.5314 - val_categorical_accuracy: 0.9005 - 390ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9785 - val_loss: 0.4813 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9769 - val_loss: 0.4973 - val_categorical_accuracy: 0.9025 - 394ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9775 - val_loss: 0.4762 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9763 - val_loss: 0.5468 - val_categorical_accuracy: 0.8909 - 420ms/epoch - 9ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9767 - val_loss: 0.5162 - val_categorical_accuracy: 0.9010 - 430ms/epoch - 9ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0693 - categorical_accuracy: 0.9755 - val_loss: 0.4878 - val_categorical_accuracy: 0.9059 - 394ms/epoch - 8ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9784 - val_loss: 0.4976 - val_categorical_accuracy: 0.9056 - 386ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9768 - val_loss: 0.6137 - val_categorical_accuracy: 0.8786 - 390ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.1786 - categorical_accuracy: 0.9496 - val_loss: 0.4533 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9789 - val_loss: 0.4672 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9783 - val_loss: 0.5252 - val_categorical_accuracy: 0.8990 - 410ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9777 - val_loss: 0.4721 - val_categorical_accuracy: 0.9081 - 422ms/epoch - 9ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9787 - val_loss: 0.5136 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9776 - val_loss: 0.4956 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.2020 - categorical_accuracy: 0.9485 - val_loss: 0.4449 - val_categorical_accuracy: 0.8934 - 400ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0727 - categorical_accuracy: 0.9742 - val_loss: 0.4578 - val_categorical_accuracy: 0.9065 - 390ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9784 - val_loss: 0.4682 - val_categorical_accuracy: 0.9072 - 392ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9794 - val_loss: 0.4844 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9788 - val_loss: 0.4827 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9789 - val_loss: 0.5363 - val_categorical_accuracy: 0.8917 - 420ms/epoch - 9ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9754 - val_loss: 0.5078 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9766 - val_loss: 0.4814 - val_categorical_accuracy: 0.9088 - 388ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9785 - val_loss: 0.4994 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 1s - loss: 0.2505 - categorical_accuracy: 0.9385 - val_loss: 0.4257 - val_categorical_accuracy: 0.9067 - 570ms/epoch - 12ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9784 - val_loss: 0.4872 - val_categorical_accuracy: 0.9012 - 400ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9787 - val_loss: 0.4893 - val_categorical_accuracy: 0.9030 - 434ms/epoch - 9ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9763 - val_loss: 0.4643 - val_categorical_accuracy: 0.9071 - 440ms/epoch - 9ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9788 - val_loss: 0.4759 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9785 - val_loss: 0.4751 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9766 - val_loss: 0.4886 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9790 - val_loss: 0.5237 - val_categorical_accuracy: 0.8972 - 390ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9707 - val_loss: 0.4957 - val_categorical_accuracy: 0.9029 - 390ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9772 - val_loss: 0.4906 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9785 - val_loss: 0.4912 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9756 - val_loss: 0.5066 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9779 - val_loss: 0.5203 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9788 - val_loss: 0.5039 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9793 - val_loss: 0.5849 - val_categorical_accuracy: 0.8873 - 420ms/epoch - 9ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.1721 - categorical_accuracy: 0.9544 - val_loss: 0.4911 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9773 - val_loss: 0.4941 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9784 - val_loss: 0.5081 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9782 - val_loss: 0.5037 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.4930 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9786 - val_loss: 0.5029 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9783 - val_loss: 0.5035 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9788 - val_loss: 0.5305 - val_categorical_accuracy: 0.9003 - 400ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9776 - val_loss: 0.6684 - val_categorical_accuracy: 0.8719 - 400ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.3068 - categorical_accuracy: 0.9246 - val_loss: 0.4587 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9777 - val_loss: 0.4656 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9786 - val_loss: 0.4924 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9784 - val_loss: 0.4986 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9790 - val_loss: 0.5047 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0790 - categorical_accuracy: 0.9723 - val_loss: 0.4914 - val_categorical_accuracy: 0.9021 - 394ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9788 - val_loss: 0.5022 - val_categorical_accuracy: 0.9047 - 396ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9793 - val_loss: 0.4941 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9771 - val_loss: 0.4877 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9789 - val_loss: 0.5437 - val_categorical_accuracy: 0.8965 - 420ms/epoch - 9ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9779 - val_loss: 0.5088 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9790 - val_loss: 0.4893 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9779 - val_loss: 0.5114 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9777 - val_loss: 0.5036 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9793 - val_loss: 0.5050 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.5211 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9774 - val_loss: 0.5776 - val_categorical_accuracy: 0.8878 - 390ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.2130 - categorical_accuracy: 0.9442 - val_loss: 0.4817 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9786 - val_loss: 0.4862 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9789 - val_loss: 0.5022 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9771 - val_loss: 0.5892 - val_categorical_accuracy: 0.8832 - 400ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9758 - val_loss: 0.5037 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9775 - val_loss: 0.4930 - val_categorical_accuracy: 0.9094 - 420ms/epoch - 9ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9790 - val_loss: 0.5214 - val_categorical_accuracy: 0.9030 - 394ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9766 - val_loss: 0.5153 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9787 - val_loss: 0.5508 - val_categorical_accuracy: 0.8952 - 400ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9769 - val_loss: 0.5391 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.2580 - categorical_accuracy: 0.9343 - val_loss: 0.4774 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 1163/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9781 - val_loss: 0.4917 - val_categorical_accuracy: 0.9032 - 395ms/epoch - 8ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9798 - val_loss: 0.4721 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9793 - val_loss: 0.4900 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.1646 - categorical_accuracy: 0.9518 - val_loss: 0.4703 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9788 - val_loss: 0.4862 - val_categorical_accuracy: 0.9056 - 420ms/epoch - 9ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9793 - val_loss: 0.5031 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9795 - val_loss: 0.5173 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9793 - val_loss: 0.4951 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9798 - val_loss: 0.4978 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9789 - val_loss: 0.4995 - val_categorical_accuracy: 0.9064 - 420ms/epoch - 9ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9792 - val_loss: 0.5158 - val_categorical_accuracy: 0.8998 - 395ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9773 - val_loss: 0.4982 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.5360 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.1338 - categorical_accuracy: 0.9620 - val_loss: 0.4812 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9782 - val_loss: 0.4822 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9796 - val_loss: 0.4909 - val_categorical_accuracy: 0.9096 - 424ms/epoch - 9ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.1803 - categorical_accuracy: 0.9506 - val_loss: 0.4536 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0607 - categorical_accuracy: 0.9782 - val_loss: 0.5026 - val_categorical_accuracy: 0.8975 - 390ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9790 - val_loss: 0.4944 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9791 - val_loss: 0.5221 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9782 - val_loss: 0.5501 - val_categorical_accuracy: 0.8893 - 400ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9751 - val_loss: 0.5169 - val_categorical_accuracy: 0.8997 - 400ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9797 - val_loss: 0.5010 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9789 - val_loss: 0.5069 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.2347 - categorical_accuracy: 0.9397 - val_loss: 0.4589 - val_categorical_accuracy: 0.8846 - 400ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9740 - val_loss: 0.4921 - val_categorical_accuracy: 0.8985 - 420ms/epoch - 9ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9790 - val_loss: 0.5051 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9797 - val_loss: 0.4920 - val_categorical_accuracy: 0.9064 - 400ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0581 - categorical_accuracy: 0.9792 - val_loss: 0.5339 - val_categorical_accuracy: 0.8954 - 400ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9791 - val_loss: 0.4967 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9779 - val_loss: 0.5061 - val_categorical_accuracy: 0.9058 - 394ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9770 - val_loss: 0.5116 - val_categorical_accuracy: 0.9033 - 430ms/epoch - 9ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5408 - val_categorical_accuracy: 0.8984 - 390ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9782 - val_loss: 0.5134 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9802 - val_loss: 0.5241 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9780 - val_loss: 0.5199 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9782 - val_loss: 0.5133 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9792 - val_loss: 0.5599 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9791 - val_loss: 0.4966 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9805 - val_loss: 0.5225 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9767 - val_loss: 0.5094 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9786 - val_loss: 0.5286 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9805 - val_loss: 0.5408 - val_categorical_accuracy: 0.9027 - 420ms/epoch - 9ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9792 - val_loss: 0.5231 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9798 - val_loss: 0.5506 - val_categorical_accuracy: 0.9017 - 400ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.6051 - categorical_accuracy: 0.8548 - val_loss: 0.4145 - val_categorical_accuracy: 0.8937 - 405ms/epoch - 8ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9658 - val_loss: 0.4530 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9757 - val_loss: 0.4585 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9778 - val_loss: 0.4625 - val_categorical_accuracy: 0.9101 - 400ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9798 - val_loss: 0.4753 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9787 - val_loss: 0.4817 - val_categorical_accuracy: 0.9107 - 400ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9789 - val_loss: 0.4805 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9800 - val_loss: 0.4975 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9794 - val_loss: 0.5318 - val_categorical_accuracy: 0.9022 - 420ms/epoch - 9ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0617 - categorical_accuracy: 0.9775 - val_loss: 0.5298 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9792 - val_loss: 0.5198 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9790 - val_loss: 0.5227 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9779 - val_loss: 0.4974 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9771 - val_loss: 1.6573 - val_categorical_accuracy: 0.7363 - 400ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.3207 - categorical_accuracy: 0.9224 - val_loss: 0.4483 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9773 - val_loss: 0.4833 - val_categorical_accuracy: 0.9005 - 404ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9798 - val_loss: 0.4855 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9801 - val_loss: 0.4959 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9793 - val_loss: 0.5298 - val_categorical_accuracy: 0.8955 - 400ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9795 - val_loss: 0.4842 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9784 - val_loss: 0.5098 - val_categorical_accuracy: 0.9050 - 394ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9796 - val_loss: 0.5143 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9792 - val_loss: 0.5256 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9774 - val_loss: 0.5373 - val_categorical_accuracy: 0.9001 - 400ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9702 - val_loss: 1.6330 - val_categorical_accuracy: 0.7944 - 400ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.1352 - categorical_accuracy: 0.9610 - val_loss: 0.4824 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9797 - val_loss: 0.4913 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9803 - val_loss: 0.5066 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9800 - val_loss: 0.5025 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9800 - val_loss: 0.4914 - val_categorical_accuracy: 0.9123 - 420ms/epoch - 9ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.5140 - val_categorical_accuracy: 0.9066 - 405ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9796 - val_loss: 0.5147 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9777 - val_loss: 0.5396 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.1328 - categorical_accuracy: 0.9607 - val_loss: 0.4952 - val_categorical_accuracy: 0.9060 - 400ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9794 - val_loss: 0.4926 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9800 - val_loss: 0.5271 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9785 - val_loss: 0.5277 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9808 - val_loss: 0.4975 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9752 - val_loss: 0.5369 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9784 - val_loss: 0.4928 - val_categorical_accuracy: 0.9106 - 420ms/epoch - 9ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9800 - val_loss: 0.5072 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0619 - categorical_accuracy: 0.9778 - val_loss: 0.5095 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9797 - val_loss: 0.5638 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9782 - val_loss: 0.5173 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9786 - val_loss: 0.5452 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9772 - val_loss: 0.5128 - val_categorical_accuracy: 0.9076 - 415ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.1566 - categorical_accuracy: 0.9550 - val_loss: 0.5434 - val_categorical_accuracy: 0.8831 - 400ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9744 - val_loss: 0.5043 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.5024 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9806 - val_loss: 0.5060 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9801 - val_loss: 0.5346 - val_categorical_accuracy: 0.9013 - 420ms/epoch - 9ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9793 - val_loss: 0.5465 - val_categorical_accuracy: 0.8977 - 400ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9798 - val_loss: 0.5237 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9791 - val_loss: 0.5769 - val_categorical_accuracy: 0.8983 - 400ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9765 - val_loss: 0.5175 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9794 - val_loss: 0.5480 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9791 - val_loss: 0.5267 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9785 - val_loss: 0.5288 - val_categorical_accuracy: 0.9045 - 420ms/epoch - 9ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9793 - val_loss: 0.5728 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9781 - val_loss: 0.6012 - val_categorical_accuracy: 0.8907 - 390ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.6067 - categorical_accuracy: 0.8544 - val_loss: 0.4297 - val_categorical_accuracy: 0.8845 - 390ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9659 - val_loss: 0.4494 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9760 - val_loss: 0.4530 - val_categorical_accuracy: 0.9079 - 390ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9786 - val_loss: 0.4641 - val_categorical_accuracy: 0.9063 - 420ms/epoch - 9ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9789 - val_loss: 0.4891 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9795 - val_loss: 0.4810 - val_categorical_accuracy: 0.9101 - 395ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9803 - val_loss: 0.5140 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9777 - val_loss: 0.5000 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9801 - val_loss: 0.4937 - val_categorical_accuracy: 0.9101 - 430ms/epoch - 9ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9806 - val_loss: 0.5200 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9797 - val_loss: 0.5214 - val_categorical_accuracy: 0.9051 - 405ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9796 - val_loss: 0.5142 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9795 - val_loss: 0.5235 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9784 - val_loss: 0.5299 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9783 - val_loss: 0.5310 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.5328 - val_categorical_accuracy: 0.9071 - 394ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0682 - categorical_accuracy: 0.9754 - val_loss: 0.5295 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.6657 - val_categorical_accuracy: 0.8718 - 393ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.2129 - categorical_accuracy: 0.9461 - val_loss: 0.4937 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9795 - val_loss: 0.5120 - val_categorical_accuracy: 0.9055 - 418ms/epoch - 9ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9800 - val_loss: 0.4862 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9798 - val_loss: 0.5254 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9803 - val_loss: 0.5195 - val_categorical_accuracy: 0.9050 - 394ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9799 - val_loss: 0.5620 - val_categorical_accuracy: 0.8953 - 396ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9760 - val_loss: 0.5487 - val_categorical_accuracy: 0.8998 - 420ms/epoch - 9ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9770 - val_loss: 0.5672 - val_categorical_accuracy: 0.8940 - 390ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9794 - val_loss: 0.5176 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9796 - val_loss: 0.5148 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.5312 - val_categorical_accuracy: 0.9039 - 390ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9788 - val_loss: 0.5166 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.5533 - val_categorical_accuracy: 0.9006 - 420ms/epoch - 9ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9775 - val_loss: 0.5594 - val_categorical_accuracy: 0.9015 - 400ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.5310 - val_categorical_accuracy: 0.9094 - 400ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9792 - val_loss: 0.5428 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9787 - val_loss: 0.5795 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9784 - val_loss: 0.5855 - val_categorical_accuracy: 0.8946 - 390ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.1893 - categorical_accuracy: 0.9487 - val_loss: 0.5162 - val_categorical_accuracy: 0.8929 - 400ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9794 - val_loss: 0.5116 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9810 - val_loss: 0.5176 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9798 - val_loss: 0.5090 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9798 - val_loss: 0.5313 - val_categorical_accuracy: 0.9073 - 430ms/epoch - 9ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9738 - val_loss: 0.5400 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.5535 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9806 - val_loss: 0.5405 - val_categorical_accuracy: 0.9045 - 400ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9797 - val_loss: 0.5547 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.1558 - categorical_accuracy: 0.9593 - val_loss: 0.5074 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9791 - val_loss: 0.5010 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9804 - val_loss: 0.5504 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9795 - val_loss: 0.5500 - val_categorical_accuracy: 0.8996 - 400ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9803 - val_loss: 0.5273 - val_categorical_accuracy: 0.9047 - 420ms/epoch - 9ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9786 - val_loss: 0.5246 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9800 - val_loss: 0.5867 - val_categorical_accuracy: 0.8957 - 400ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9791 - val_loss: 0.5359 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9799 - val_loss: 0.5298 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5475 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.2110 - categorical_accuracy: 0.9467 - val_loss: 0.4574 - val_categorical_accuracy: 0.8901 - 400ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9755 - val_loss: 0.5359 - val_categorical_accuracy: 0.8970 - 400ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9805 - val_loss: 0.4944 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9810 - val_loss: 0.5168 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9809 - val_loss: 0.5079 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9795 - val_loss: 0.5742 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9781 - val_loss: 0.5568 - val_categorical_accuracy: 0.8961 - 400ms/epoch - 8ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9717 - val_loss: 0.5353 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5290 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9797 - val_loss: 0.5252 - val_categorical_accuracy: 0.9060 - 410ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9807 - val_loss: 0.5539 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9806 - val_loss: 0.5414 - val_categorical_accuracy: 0.9041 - 420ms/epoch - 9ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9808 - val_loss: 0.5375 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9802 - val_loss: 0.5399 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9811 - val_loss: 0.5351 - val_categorical_accuracy: 0.9086 - 420ms/epoch - 9ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9797 - val_loss: 0.5434 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9805 - val_loss: 0.5518 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9807 - val_loss: 0.5455 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9536 - val_loss: 0.5077 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9787 - val_loss: 0.5274 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9808 - val_loss: 0.5416 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9803 - val_loss: 0.5680 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9799 - val_loss: 0.5374 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.5668 - val_categorical_accuracy: 0.8984 - 420ms/epoch - 9ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.5495 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9809 - val_loss: 0.5347 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9804 - val_loss: 0.5475 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9801 - val_loss: 0.5475 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9806 - val_loss: 0.5662 - val_categorical_accuracy: 0.9019 - 400ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9769 - val_loss: 0.5979 - val_categorical_accuracy: 0.8973 - 420ms/epoch - 9ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9790 - val_loss: 0.5499 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9797 - val_loss: 0.5755 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9802 - val_loss: 0.5499 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9797 - val_loss: 0.5734 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9790 - val_loss: 0.5653 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9794 - val_loss: 0.5522 - val_categorical_accuracy: 0.9066 - 394ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9808 - val_loss: 0.5618 - val_categorical_accuracy: 0.9029 - 400ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.2290 - categorical_accuracy: 0.9404 - val_loss: 0.5045 - val_categorical_accuracy: 0.8988 - 400ms/epoch - 8ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9787 - val_loss: 0.5249 - val_categorical_accuracy: 0.8991 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 1s - loss: 0.0540 - categorical_accuracy: 0.9805 - val_loss: 0.5092 - val_categorical_accuracy: 0.9115 - 560ms/epoch - 11ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5340 - val_categorical_accuracy: 0.9095 - 410ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5622 - val_categorical_accuracy: 0.8986 - 400ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9732 - val_loss: 1.2767 - val_categorical_accuracy: 0.7922 - 400ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.1282 - categorical_accuracy: 0.9632 - val_loss: 0.4994 - val_categorical_accuracy: 0.9097 - 404ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5233 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9809 - val_loss: 0.5157 - val_categorical_accuracy: 0.9097 - 430ms/epoch - 9ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9805 - val_loss: 0.5348 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9802 - val_loss: 0.5875 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.0770 - categorical_accuracy: 0.9732 - val_loss: 0.5299 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.5249 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9815 - val_loss: 0.5578 - val_categorical_accuracy: 0.9047 - 394ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9798 - val_loss: 0.5834 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9795 - val_loss: 0.6016 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9768 - val_loss: 0.5298 - val_categorical_accuracy: 0.9100 - 400ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9773 - val_loss: 0.5455 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9792 - val_loss: 0.5666 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9786 - val_loss: 0.5333 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9807 - val_loss: 0.6951 - val_categorical_accuracy: 0.8858 - 400ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.1741 - categorical_accuracy: 0.9540 - val_loss: 0.4996 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9809 - val_loss: 0.5161 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9802 - val_loss: 0.5391 - val_categorical_accuracy: 0.9031 - 414ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9804 - val_loss: 0.5851 - val_categorical_accuracy: 0.8935 - 390ms/epoch - 8ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9800 - val_loss: 0.5628 - val_categorical_accuracy: 0.9022 - 400ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9783 - val_loss: 0.7209 - val_categorical_accuracy: 0.8688 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.2977 - categorical_accuracy: 0.9295 - val_loss: 0.4850 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0571 - categorical_accuracy: 0.9797 - val_loss: 0.4907 - val_categorical_accuracy: 0.9108 - 420ms/epoch - 9ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9810 - val_loss: 0.5441 - val_categorical_accuracy: 0.8981 - 410ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9806 - val_loss: 0.5120 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9815 - val_loss: 0.5205 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9815 - val_loss: 0.5262 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9794 - val_loss: 0.5195 - val_categorical_accuracy: 0.9089 - 394ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9814 - val_loss: 0.5340 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9814 - val_loss: 0.5469 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9809 - val_loss: 0.5701 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9801 - val_loss: 0.5523 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9777 - val_loss: 0.5463 - val_categorical_accuracy: 0.9037 - 424ms/epoch - 9ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9804 - val_loss: 0.5480 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9812 - val_loss: 0.5637 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9814 - val_loss: 0.5476 - val_categorical_accuracy: 0.9038 - 400ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0508 - categorical_accuracy: 0.9815 - val_loss: 0.6268 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.2114 - categorical_accuracy: 0.9466 - val_loss: 0.5126 - val_categorical_accuracy: 0.9010 - 404ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9803 - val_loss: 0.5180 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9813 - val_loss: 0.5588 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9814 - val_loss: 0.5530 - val_categorical_accuracy: 0.9007 - 400ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9811 - val_loss: 0.5311 - val_categorical_accuracy: 0.9083 - 410ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9816 - val_loss: 0.5358 - val_categorical_accuracy: 0.9085 - 394ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9807 - val_loss: 0.5315 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9807 - val_loss: 0.6150 - val_categorical_accuracy: 0.8907 - 390ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.1647 - categorical_accuracy: 0.9535 - val_loss: 0.5310 - val_categorical_accuracy: 0.9023 - 400ms/epoch - 8ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9802 - val_loss: 0.5238 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9814 - val_loss: 0.5281 - val_categorical_accuracy: 0.9076 - 394ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9813 - val_loss: 0.5359 - val_categorical_accuracy: 0.9059 - 420ms/epoch - 9ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9818 - val_loss: 0.5404 - val_categorical_accuracy: 0.9026 - 400ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.1888 - categorical_accuracy: 0.9495 - val_loss: 0.4563 - val_categorical_accuracy: 0.9068 - 410ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9789 - val_loss: 0.5095 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9814 - val_loss: 0.5073 - val_categorical_accuracy: 0.9102 - 394ms/epoch - 8ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9811 - val_loss: 0.5283 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5450 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9816 - val_loss: 0.5234 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9805 - val_loss: 0.5257 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9814 - val_loss: 0.5290 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0515 - categorical_accuracy: 0.9811 - val_loss: 0.5447 - val_categorical_accuracy: 0.9058 - 420ms/epoch - 9ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9805 - val_loss: 0.5305 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9801 - val_loss: 0.5512 - val_categorical_accuracy: 0.9050 - 400ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9799 - val_loss: 0.5623 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9807 - val_loss: 0.5429 - val_categorical_accuracy: 0.9083 - 405ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.3033 - categorical_accuracy: 0.9272 - val_loss: 0.4713 - val_categorical_accuracy: 0.9018 - 420ms/epoch - 9ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9798 - val_loss: 0.5147 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9811 - val_loss: 0.5238 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9806 - val_loss: 0.5237 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9811 - val_loss: 0.5506 - val_categorical_accuracy: 0.9040 - 394ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9813 - val_loss: 0.5286 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9818 - val_loss: 0.5413 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9811 - val_loss: 0.5400 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.1719 - categorical_accuracy: 0.9538 - val_loss: 0.5169 - val_categorical_accuracy: 0.9021 - 420ms/epoch - 9ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9809 - val_loss: 0.5043 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9817 - val_loss: 0.5267 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9810 - val_loss: 0.5524 - val_categorical_accuracy: 0.9035 - 394ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9816 - val_loss: 0.5323 - val_categorical_accuracy: 0.9093 - 394ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9814 - val_loss: 0.5604 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9781 - val_loss: 0.5452 - val_categorical_accuracy: 0.9050 - 420ms/epoch - 9ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9808 - val_loss: 0.5286 - val_categorical_accuracy: 0.9127 - 400ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9785 - val_loss: 0.5299 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5433 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9808 - val_loss: 0.5527 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5436 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0503 - categorical_accuracy: 0.9817 - val_loss: 0.5525 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9816 - val_loss: 0.5540 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.1820 - categorical_accuracy: 0.9535 - val_loss: 0.5329 - val_categorical_accuracy: 0.8906 - 400ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0646 - categorical_accuracy: 0.9766 - val_loss: 0.5365 - val_categorical_accuracy: 0.9030 - 400ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9811 - val_loss: 0.5355 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9817 - val_loss: 0.5416 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9812 - val_loss: 0.5184 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.5744 - val_categorical_accuracy: 0.9003 - 390ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9820 - val_loss: 0.5377 - val_categorical_accuracy: 0.9077 - 390ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9819 - val_loss: 0.5610 - val_categorical_accuracy: 0.9006 - 414ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9802 - val_loss: 0.5527 - val_categorical_accuracy: 0.9063 - 440ms/epoch - 9ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9801 - val_loss: 0.5566 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9811 - val_loss: 0.5373 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9819 - val_loss: 0.5588 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5488 - val_categorical_accuracy: 0.9061 - 410ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9813 - val_loss: 0.5987 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9814 - val_loss: 0.5515 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9802 - val_loss: 0.6009 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.2274 - categorical_accuracy: 0.9425 - val_loss: 0.4953 - val_categorical_accuracy: 0.9053 - 430ms/epoch - 9ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9810 - val_loss: 0.5234 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9815 - val_loss: 0.5104 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9822 - val_loss: 0.5445 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0502 - categorical_accuracy: 0.9816 - val_loss: 0.5554 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9810 - val_loss: 0.5358 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9822 - val_loss: 0.5612 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9759 - val_loss: 0.6427 - val_categorical_accuracy: 0.8865 - 400ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9768 - val_loss: 0.5554 - val_categorical_accuracy: 0.9034 - 400ms/epoch - 8ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.5894 - val_categorical_accuracy: 0.8935 - 400ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.1984 - categorical_accuracy: 0.9467 - val_loss: 0.4952 - val_categorical_accuracy: 0.9032 - 400ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9810 - val_loss: 0.5247 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5326 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9809 - val_loss: 0.5216 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0480 - categorical_accuracy: 0.9828 - val_loss: 0.5631 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9814 - val_loss: 0.5568 - val_categorical_accuracy: 0.9055 - 400ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.0522 - categorical_accuracy: 0.9807 - val_loss: 0.5314 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9824 - val_loss: 0.5403 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9821 - val_loss: 0.5712 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9805 - val_loss: 0.5572 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9806 - val_loss: 0.5677 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9811 - val_loss: 0.5769 - val_categorical_accuracy: 0.9036 - 420ms/epoch - 9ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0511 - categorical_accuracy: 0.9813 - val_loss: 0.5577 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9820 - val_loss: 0.5868 - val_categorical_accuracy: 0.8979 - 400ms/epoch - 8ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9805 - val_loss: 0.5774 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9808 - val_loss: 0.5720 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9819 - val_loss: 0.5644 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9760 - val_loss: 1.3721 - val_categorical_accuracy: 0.7807 - 400ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.1645 - categorical_accuracy: 0.9531 - val_loss: 0.5113 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9808 - val_loss: 0.5323 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9824 - val_loss: 0.5340 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9823 - val_loss: 0.5700 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9815 - val_loss: 0.6251 - val_categorical_accuracy: 0.8879 - 400ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9774 - val_loss: 0.5565 - val_categorical_accuracy: 0.9057 - 420ms/epoch - 9ms/step
processing fold # 10 
Epoch 1/1500
49/49 - 1s - loss: 1.9151 - categorical_accuracy: 0.3563 - val_loss: 1.8749 - val_categorical_accuracy: 0.3639 - 1s/epoch - 24ms/step
Epoch 2/1500
49/49 - 0s - loss: 1.8584 - categorical_accuracy: 0.3636 - val_loss: 1.8304 - val_categorical_accuracy: 0.3639 - 390ms/epoch - 8ms/step
Epoch 3/1500
49/49 - 0s - loss: 1.8088 - categorical_accuracy: 0.3716 - val_loss: 1.7908 - val_categorical_accuracy: 0.4175 - 390ms/epoch - 8ms/step
Epoch 4/1500
49/49 - 0s - loss: 1.7629 - categorical_accuracy: 0.4025 - val_loss: 1.7280 - val_categorical_accuracy: 0.3906 - 390ms/epoch - 8ms/step
Epoch 5/1500
49/49 - 0s - loss: 1.7040 - categorical_accuracy: 0.4220 - val_loss: 1.6301 - val_categorical_accuracy: 0.4585 - 430ms/epoch - 9ms/step
Epoch 6/1500
49/49 - 0s - loss: 1.6244 - categorical_accuracy: 0.4431 - val_loss: 1.8131 - val_categorical_accuracy: 0.3762 - 430ms/epoch - 9ms/step
Epoch 7/1500
49/49 - 0s - loss: 1.5455 - categorical_accuracy: 0.4670 - val_loss: 1.5439 - val_categorical_accuracy: 0.4671 - 400ms/epoch - 8ms/step
Epoch 8/1500
49/49 - 0s - loss: 1.4770 - categorical_accuracy: 0.4905 - val_loss: 1.9338 - val_categorical_accuracy: 0.3862 - 390ms/epoch - 8ms/step
Epoch 9/1500
49/49 - 0s - loss: 1.4491 - categorical_accuracy: 0.5022 - val_loss: 1.3782 - val_categorical_accuracy: 0.5295 - 390ms/epoch - 8ms/step
Epoch 10/1500
49/49 - 0s - loss: 1.3986 - categorical_accuracy: 0.5162 - val_loss: 1.3320 - val_categorical_accuracy: 0.5424 - 394ms/epoch - 8ms/step
Epoch 11/1500
49/49 - 0s - loss: 1.3467 - categorical_accuracy: 0.5301 - val_loss: 1.2858 - val_categorical_accuracy: 0.5529 - 390ms/epoch - 8ms/step
Epoch 12/1500
49/49 - 0s - loss: 1.3224 - categorical_accuracy: 0.5362 - val_loss: 1.2989 - val_categorical_accuracy: 0.5589 - 390ms/epoch - 8ms/step
Epoch 13/1500
49/49 - 0s - loss: 1.2863 - categorical_accuracy: 0.5501 - val_loss: 1.2662 - val_categorical_accuracy: 0.5515 - 414ms/epoch - 8ms/step
Epoch 14/1500
49/49 - 0s - loss: 1.2826 - categorical_accuracy: 0.5469 - val_loss: 1.2242 - val_categorical_accuracy: 0.5679 - 436ms/epoch - 9ms/step
Epoch 15/1500
49/49 - 0s - loss: 1.2511 - categorical_accuracy: 0.5585 - val_loss: 1.1815 - val_categorical_accuracy: 0.5812 - 400ms/epoch - 8ms/step
Epoch 16/1500
49/49 - 0s - loss: 1.2375 - categorical_accuracy: 0.5623 - val_loss: 1.2026 - val_categorical_accuracy: 0.5642 - 390ms/epoch - 8ms/step
Epoch 17/1500
49/49 - 0s - loss: 1.1904 - categorical_accuracy: 0.5748 - val_loss: 1.3033 - val_categorical_accuracy: 0.5336 - 400ms/epoch - 8ms/step
Epoch 18/1500
49/49 - 0s - loss: 1.1594 - categorical_accuracy: 0.5849 - val_loss: 1.1900 - val_categorical_accuracy: 0.5730 - 390ms/epoch - 8ms/step
Epoch 19/1500
49/49 - 0s - loss: 1.1443 - categorical_accuracy: 0.5909 - val_loss: 1.0953 - val_categorical_accuracy: 0.6164 - 390ms/epoch - 8ms/step
Epoch 20/1500
49/49 - 0s - loss: 1.1187 - categorical_accuracy: 0.5968 - val_loss: 1.0658 - val_categorical_accuracy: 0.6153 - 390ms/epoch - 8ms/step
Epoch 21/1500
49/49 - 0s - loss: 1.0948 - categorical_accuracy: 0.6050 - val_loss: 1.0579 - val_categorical_accuracy: 0.6310 - 420ms/epoch - 9ms/step
Epoch 22/1500
49/49 - 0s - loss: 1.1044 - categorical_accuracy: 0.6033 - val_loss: 1.0207 - val_categorical_accuracy: 0.6297 - 430ms/epoch - 9ms/step
Epoch 23/1500
49/49 - 0s - loss: 1.0490 - categorical_accuracy: 0.6223 - val_loss: 0.9833 - val_categorical_accuracy: 0.6563 - 390ms/epoch - 8ms/step
Epoch 24/1500
49/49 - 0s - loss: 1.0475 - categorical_accuracy: 0.6277 - val_loss: 0.9730 - val_categorical_accuracy: 0.6624 - 390ms/epoch - 8ms/step
Epoch 25/1500
49/49 - 0s - loss: 1.0091 - categorical_accuracy: 0.6315 - val_loss: 1.0448 - val_categorical_accuracy: 0.6276 - 400ms/epoch - 8ms/step
Epoch 26/1500
49/49 - 0s - loss: 0.9893 - categorical_accuracy: 0.6440 - val_loss: 1.0267 - val_categorical_accuracy: 0.6289 - 390ms/epoch - 8ms/step
Epoch 27/1500
49/49 - 0s - loss: 1.0034 - categorical_accuracy: 0.6384 - val_loss: 0.9313 - val_categorical_accuracy: 0.6702 - 390ms/epoch - 8ms/step
Epoch 28/1500
49/49 - 0s - loss: 0.9469 - categorical_accuracy: 0.6560 - val_loss: 0.9700 - val_categorical_accuracy: 0.6528 - 390ms/epoch - 8ms/step
Epoch 29/1500
49/49 - 0s - loss: 0.9646 - categorical_accuracy: 0.6526 - val_loss: 0.9167 - val_categorical_accuracy: 0.6722 - 410ms/epoch - 8ms/step
Epoch 30/1500
49/49 - 0s - loss: 0.9173 - categorical_accuracy: 0.6658 - val_loss: 0.9128 - val_categorical_accuracy: 0.6661 - 430ms/epoch - 9ms/step
Epoch 31/1500
49/49 - 0s - loss: 0.9139 - categorical_accuracy: 0.6664 - val_loss: 0.8488 - val_categorical_accuracy: 0.6952 - 400ms/epoch - 8ms/step
Epoch 32/1500
49/49 - 0s - loss: 0.9243 - categorical_accuracy: 0.6669 - val_loss: 0.8655 - val_categorical_accuracy: 0.6937 - 390ms/epoch - 8ms/step
Epoch 33/1500
49/49 - 0s - loss: 0.8813 - categorical_accuracy: 0.6785 - val_loss: 0.8637 - val_categorical_accuracy: 0.6854 - 390ms/epoch - 8ms/step
Epoch 34/1500
49/49 - 0s - loss: 0.8576 - categorical_accuracy: 0.6878 - val_loss: 0.8606 - val_categorical_accuracy: 0.6945 - 390ms/epoch - 8ms/step
Epoch 35/1500
49/49 - 0s - loss: 0.8856 - categorical_accuracy: 0.6756 - val_loss: 0.8180 - val_categorical_accuracy: 0.7057 - 394ms/epoch - 8ms/step
Epoch 36/1500
49/49 - 0s - loss: 0.8499 - categorical_accuracy: 0.6891 - val_loss: 0.8661 - val_categorical_accuracy: 0.6865 - 390ms/epoch - 8ms/step
Epoch 37/1500
49/49 - 0s - loss: 0.8344 - categorical_accuracy: 0.6950 - val_loss: 0.9149 - val_categorical_accuracy: 0.6694 - 420ms/epoch - 9ms/step
Epoch 38/1500
49/49 - 0s - loss: 0.8084 - categorical_accuracy: 0.7023 - val_loss: 0.7962 - val_categorical_accuracy: 0.7068 - 430ms/epoch - 9ms/step
Epoch 39/1500
49/49 - 0s - loss: 0.8251 - categorical_accuracy: 0.6970 - val_loss: 0.7831 - val_categorical_accuracy: 0.7141 - 400ms/epoch - 8ms/step
Epoch 40/1500
49/49 - 0s - loss: 0.7840 - categorical_accuracy: 0.7109 - val_loss: 0.7971 - val_categorical_accuracy: 0.7049 - 390ms/epoch - 8ms/step
Epoch 41/1500
49/49 - 0s - loss: 0.8496 - categorical_accuracy: 0.6915 - val_loss: 0.7424 - val_categorical_accuracy: 0.7284 - 400ms/epoch - 8ms/step
Epoch 42/1500
49/49 - 0s - loss: 0.7717 - categorical_accuracy: 0.7162 - val_loss: 0.7209 - val_categorical_accuracy: 0.7375 - 390ms/epoch - 8ms/step
Epoch 43/1500
49/49 - 0s - loss: 0.7451 - categorical_accuracy: 0.7241 - val_loss: 0.8222 - val_categorical_accuracy: 0.6993 - 390ms/epoch - 8ms/step
Epoch 44/1500
49/49 - 0s - loss: 0.7586 - categorical_accuracy: 0.7206 - val_loss: 1.0354 - val_categorical_accuracy: 0.6255 - 390ms/epoch - 8ms/step
Epoch 45/1500
49/49 - 0s - loss: 0.7848 - categorical_accuracy: 0.7135 - val_loss: 0.8242 - val_categorical_accuracy: 0.6976 - 400ms/epoch - 8ms/step
Epoch 46/1500
49/49 - 0s - loss: 0.7285 - categorical_accuracy: 0.7287 - val_loss: 0.7090 - val_categorical_accuracy: 0.7381 - 430ms/epoch - 9ms/step
Epoch 47/1500
49/49 - 0s - loss: 0.7535 - categorical_accuracy: 0.7225 - val_loss: 0.7558 - val_categorical_accuracy: 0.7175 - 390ms/epoch - 8ms/step
Epoch 48/1500
49/49 - 0s - loss: 0.7211 - categorical_accuracy: 0.7307 - val_loss: 0.7049 - val_categorical_accuracy: 0.7356 - 410ms/epoch - 8ms/step
Epoch 49/1500
49/49 - 0s - loss: 0.7405 - categorical_accuracy: 0.7309 - val_loss: 0.7210 - val_categorical_accuracy: 0.7256 - 400ms/epoch - 8ms/step
Epoch 50/1500
49/49 - 0s - loss: 0.7181 - categorical_accuracy: 0.7336 - val_loss: 0.6986 - val_categorical_accuracy: 0.7420 - 390ms/epoch - 8ms/step
Epoch 51/1500
49/49 - 0s - loss: 0.6770 - categorical_accuracy: 0.7468 - val_loss: 0.6763 - val_categorical_accuracy: 0.7567 - 390ms/epoch - 8ms/step
Epoch 52/1500
49/49 - 0s - loss: 0.7199 - categorical_accuracy: 0.7373 - val_loss: 0.7087 - val_categorical_accuracy: 0.7343 - 400ms/epoch - 8ms/step
Epoch 53/1500
49/49 - 0s - loss: 0.6788 - categorical_accuracy: 0.7457 - val_loss: 0.8371 - val_categorical_accuracy: 0.6974 - 390ms/epoch - 8ms/step
Epoch 54/1500
49/49 - 0s - loss: 0.6742 - categorical_accuracy: 0.7485 - val_loss: 0.7731 - val_categorical_accuracy: 0.7129 - 390ms/epoch - 8ms/step
Epoch 55/1500
49/49 - 0s - loss: 0.6990 - categorical_accuracy: 0.7406 - val_loss: 0.7609 - val_categorical_accuracy: 0.7271 - 420ms/epoch - 9ms/step
Epoch 56/1500
49/49 - 0s - loss: 0.6546 - categorical_accuracy: 0.7535 - val_loss: 0.8646 - val_categorical_accuracy: 0.6734 - 400ms/epoch - 8ms/step
Epoch 57/1500
49/49 - 0s - loss: 0.6522 - categorical_accuracy: 0.7580 - val_loss: 0.7510 - val_categorical_accuracy: 0.7384 - 400ms/epoch - 8ms/step
Epoch 58/1500
49/49 - 0s - loss: 0.7818 - categorical_accuracy: 0.7233 - val_loss: 0.7367 - val_categorical_accuracy: 0.7110 - 400ms/epoch - 8ms/step
Epoch 59/1500
49/49 - 0s - loss: 0.6277 - categorical_accuracy: 0.7636 - val_loss: 0.6921 - val_categorical_accuracy: 0.7523 - 390ms/epoch - 8ms/step
Epoch 60/1500
49/49 - 0s - loss: 0.7318 - categorical_accuracy: 0.7376 - val_loss: 0.6242 - val_categorical_accuracy: 0.7663 - 414ms/epoch - 8ms/step
Epoch 61/1500
49/49 - 0s - loss: 0.6253 - categorical_accuracy: 0.7682 - val_loss: 0.6506 - val_categorical_accuracy: 0.7585 - 390ms/epoch - 8ms/step
Epoch 62/1500
49/49 - 0s - loss: 0.6539 - categorical_accuracy: 0.7568 - val_loss: 0.6539 - val_categorical_accuracy: 0.7509 - 390ms/epoch - 8ms/step
Epoch 63/1500
49/49 - 0s - loss: 0.6129 - categorical_accuracy: 0.7683 - val_loss: 0.6026 - val_categorical_accuracy: 0.7762 - 390ms/epoch - 8ms/step
Epoch 64/1500
49/49 - 0s - loss: 0.5984 - categorical_accuracy: 0.7743 - val_loss: 0.5935 - val_categorical_accuracy: 0.7764 - 390ms/epoch - 8ms/step
Epoch 65/1500
49/49 - 0s - loss: 0.7209 - categorical_accuracy: 0.7432 - val_loss: 0.6056 - val_categorical_accuracy: 0.7721 - 414ms/epoch - 8ms/step
Epoch 66/1500
49/49 - 0s - loss: 0.5916 - categorical_accuracy: 0.7759 - val_loss: 0.6037 - val_categorical_accuracy: 0.7694 - 430ms/epoch - 9ms/step
Epoch 67/1500
49/49 - 0s - loss: 0.5938 - categorical_accuracy: 0.7766 - val_loss: 0.5753 - val_categorical_accuracy: 0.7851 - 430ms/epoch - 9ms/step
Epoch 68/1500
49/49 - 0s - loss: 0.5974 - categorical_accuracy: 0.7733 - val_loss: 0.9368 - val_categorical_accuracy: 0.6809 - 390ms/epoch - 8ms/step
Epoch 69/1500
49/49 - 0s - loss: 0.6279 - categorical_accuracy: 0.7699 - val_loss: 0.5831 - val_categorical_accuracy: 0.7818 - 390ms/epoch - 8ms/step
Epoch 70/1500
49/49 - 0s - loss: 0.5813 - categorical_accuracy: 0.7796 - val_loss: 0.7351 - val_categorical_accuracy: 0.7259 - 390ms/epoch - 8ms/step
Epoch 71/1500
49/49 - 0s - loss: 0.5834 - categorical_accuracy: 0.7802 - val_loss: 0.6109 - val_categorical_accuracy: 0.7772 - 400ms/epoch - 8ms/step
Epoch 72/1500
49/49 - 0s - loss: 0.5677 - categorical_accuracy: 0.7869 - val_loss: 0.6411 - val_categorical_accuracy: 0.7673 - 390ms/epoch - 8ms/step
Epoch 73/1500
49/49 - 0s - loss: 0.5721 - categorical_accuracy: 0.7825 - val_loss: 0.5646 - val_categorical_accuracy: 0.7893 - 390ms/epoch - 8ms/step
Epoch 74/1500
49/49 - 0s - loss: 0.5548 - categorical_accuracy: 0.7905 - val_loss: 0.5884 - val_categorical_accuracy: 0.7792 - 400ms/epoch - 8ms/step
Epoch 75/1500
49/49 - 0s - loss: 0.6977 - categorical_accuracy: 0.7541 - val_loss: 0.5553 - val_categorical_accuracy: 0.7874 - 414ms/epoch - 8ms/step
Epoch 76/1500
49/49 - 1s - loss: 0.5522 - categorical_accuracy: 0.7909 - val_loss: 0.5640 - val_categorical_accuracy: 0.7882 - 560ms/epoch - 11ms/step
Epoch 77/1500
49/49 - 0s - loss: 0.5490 - categorical_accuracy: 0.7935 - val_loss: 0.5696 - val_categorical_accuracy: 0.7904 - 390ms/epoch - 8ms/step
Epoch 78/1500
49/49 - 0s - loss: 0.5458 - categorical_accuracy: 0.7921 - val_loss: 0.5439 - val_categorical_accuracy: 0.7943 - 390ms/epoch - 8ms/step
Epoch 79/1500
49/49 - 0s - loss: 0.6170 - categorical_accuracy: 0.7780 - val_loss: 0.5484 - val_categorical_accuracy: 0.7940 - 400ms/epoch - 8ms/step
Epoch 80/1500
49/49 - 0s - loss: 0.5401 - categorical_accuracy: 0.7955 - val_loss: 0.5305 - val_categorical_accuracy: 0.7963 - 424ms/epoch - 9ms/step
Epoch 81/1500
49/49 - 0s - loss: 0.5425 - categorical_accuracy: 0.7962 - val_loss: 0.5370 - val_categorical_accuracy: 0.8004 - 439ms/epoch - 9ms/step
Epoch 82/1500
49/49 - 0s - loss: 0.5212 - categorical_accuracy: 0.8018 - val_loss: 0.5086 - val_categorical_accuracy: 0.8037 - 430ms/epoch - 9ms/step
Epoch 83/1500
49/49 - 0s - loss: 0.5326 - categorical_accuracy: 0.7988 - val_loss: 0.5680 - val_categorical_accuracy: 0.7832 - 387ms/epoch - 8ms/step
Epoch 84/1500
49/49 - 0s - loss: 0.7718 - categorical_accuracy: 0.7429 - val_loss: 0.5214 - val_categorical_accuracy: 0.8056 - 390ms/epoch - 8ms/step
Epoch 85/1500
49/49 - 0s - loss: 0.5209 - categorical_accuracy: 0.8041 - val_loss: 0.5490 - val_categorical_accuracy: 0.7931 - 394ms/epoch - 8ms/step
Epoch 86/1500
49/49 - 0s - loss: 0.5070 - categorical_accuracy: 0.8088 - val_loss: 0.6621 - val_categorical_accuracy: 0.7656 - 395ms/epoch - 8ms/step
Epoch 87/1500
49/49 - 0s - loss: 0.5118 - categorical_accuracy: 0.8067 - val_loss: 0.6023 - val_categorical_accuracy: 0.7747 - 390ms/epoch - 8ms/step
Epoch 88/1500
49/49 - 0s - loss: 0.5131 - categorical_accuracy: 0.8049 - val_loss: 0.5640 - val_categorical_accuracy: 0.7908 - 404ms/epoch - 8ms/step
Epoch 89/1500
49/49 - 0s - loss: 0.4991 - categorical_accuracy: 0.8110 - val_loss: 0.5054 - val_categorical_accuracy: 0.8111 - 400ms/epoch - 8ms/step
Epoch 90/1500
49/49 - 0s - loss: 0.5140 - categorical_accuracy: 0.8058 - val_loss: 0.5944 - val_categorical_accuracy: 0.7741 - 414ms/epoch - 8ms/step
Epoch 91/1500
49/49 - 0s - loss: 0.7610 - categorical_accuracy: 0.7534 - val_loss: 0.5079 - val_categorical_accuracy: 0.8109 - 400ms/epoch - 8ms/step
Epoch 92/1500
49/49 - 0s - loss: 0.4940 - categorical_accuracy: 0.8137 - val_loss: 0.6324 - val_categorical_accuracy: 0.7645 - 390ms/epoch - 8ms/step
Epoch 93/1500
49/49 - 0s - loss: 0.4969 - categorical_accuracy: 0.8123 - val_loss: 0.4902 - val_categorical_accuracy: 0.8080 - 400ms/epoch - 8ms/step
Epoch 94/1500
49/49 - 0s - loss: 0.4806 - categorical_accuracy: 0.8178 - val_loss: 0.5279 - val_categorical_accuracy: 0.8050 - 390ms/epoch - 8ms/step
Epoch 95/1500
49/49 - 0s - loss: 0.4956 - categorical_accuracy: 0.8129 - val_loss: 0.5029 - val_categorical_accuracy: 0.8090 - 390ms/epoch - 8ms/step
Epoch 96/1500
49/49 - 0s - loss: 0.4841 - categorical_accuracy: 0.8173 - val_loss: 0.4963 - val_categorical_accuracy: 0.8128 - 410ms/epoch - 8ms/step
Epoch 97/1500
49/49 - 0s - loss: 0.4753 - categorical_accuracy: 0.8207 - val_loss: 0.5113 - val_categorical_accuracy: 0.7994 - 390ms/epoch - 8ms/step
Epoch 98/1500
49/49 - 0s - loss: 0.4880 - categorical_accuracy: 0.8161 - val_loss: 0.5455 - val_categorical_accuracy: 0.7829 - 390ms/epoch - 8ms/step
Epoch 99/1500
49/49 - 0s - loss: 0.4746 - categorical_accuracy: 0.8219 - val_loss: 0.5724 - val_categorical_accuracy: 0.7838 - 390ms/epoch - 8ms/step
Epoch 100/1500
49/49 - 0s - loss: 0.4706 - categorical_accuracy: 0.8215 - val_loss: 0.4985 - val_categorical_accuracy: 0.8069 - 400ms/epoch - 8ms/step
Epoch 101/1500
49/49 - 0s - loss: 0.4817 - categorical_accuracy: 0.8196 - val_loss: 0.4847 - val_categorical_accuracy: 0.8203 - 410ms/epoch - 8ms/step
Epoch 102/1500
49/49 - 0s - loss: 0.4817 - categorical_accuracy: 0.8175 - val_loss: 0.4966 - val_categorical_accuracy: 0.8113 - 430ms/epoch - 9ms/step
Epoch 103/1500
49/49 - 0s - loss: 0.4591 - categorical_accuracy: 0.8274 - val_loss: 0.4621 - val_categorical_accuracy: 0.8248 - 430ms/epoch - 9ms/step
Epoch 104/1500
49/49 - 0s - loss: 0.4783 - categorical_accuracy: 0.8190 - val_loss: 0.4645 - val_categorical_accuracy: 0.8199 - 400ms/epoch - 8ms/step
Epoch 105/1500
49/49 - 0s - loss: 0.4404 - categorical_accuracy: 0.8337 - val_loss: 0.6985 - val_categorical_accuracy: 0.7305 - 394ms/epoch - 8ms/step
Epoch 106/1500
49/49 - 0s - loss: 0.5280 - categorical_accuracy: 0.8089 - val_loss: 0.4979 - val_categorical_accuracy: 0.8148 - 390ms/epoch - 8ms/step
Epoch 107/1500
49/49 - 0s - loss: 0.4542 - categorical_accuracy: 0.8283 - val_loss: 0.4396 - val_categorical_accuracy: 0.8340 - 390ms/epoch - 8ms/step
Epoch 108/1500
49/49 - 0s - loss: 0.4596 - categorical_accuracy: 0.8263 - val_loss: 0.4743 - val_categorical_accuracy: 0.8242 - 400ms/epoch - 8ms/step
Epoch 109/1500
49/49 - 0s - loss: 0.4376 - categorical_accuracy: 0.8349 - val_loss: 0.5050 - val_categorical_accuracy: 0.8044 - 390ms/epoch - 8ms/step
Epoch 110/1500
49/49 - 0s - loss: 0.4250 - categorical_accuracy: 0.8408 - val_loss: 0.6557 - val_categorical_accuracy: 0.7676 - 395ms/epoch - 8ms/step
Epoch 111/1500
49/49 - 0s - loss: 0.6110 - categorical_accuracy: 0.7896 - val_loss: 0.4624 - val_categorical_accuracy: 0.8299 - 390ms/epoch - 8ms/step
Epoch 112/1500
49/49 - 0s - loss: 0.4191 - categorical_accuracy: 0.8443 - val_loss: 0.4845 - val_categorical_accuracy: 0.8188 - 390ms/epoch - 8ms/step
Epoch 113/1500
49/49 - 0s - loss: 0.4415 - categorical_accuracy: 0.8349 - val_loss: 0.4415 - val_categorical_accuracy: 0.8354 - 410ms/epoch - 8ms/step
Epoch 114/1500
49/49 - 0s - loss: 0.4311 - categorical_accuracy: 0.8384 - val_loss: 0.4885 - val_categorical_accuracy: 0.8189 - 430ms/epoch - 9ms/step
Epoch 115/1500
49/49 - 0s - loss: 0.4345 - categorical_accuracy: 0.8363 - val_loss: 0.4910 - val_categorical_accuracy: 0.8173 - 394ms/epoch - 8ms/step
Epoch 116/1500
49/49 - 0s - loss: 0.4252 - categorical_accuracy: 0.8406 - val_loss: 0.4719 - val_categorical_accuracy: 0.8284 - 390ms/epoch - 8ms/step
Epoch 117/1500
49/49 - 0s - loss: 0.4328 - categorical_accuracy: 0.8384 - val_loss: 0.4324 - val_categorical_accuracy: 0.8382 - 390ms/epoch - 8ms/step
Epoch 118/1500
49/49 - 0s - loss: 0.6085 - categorical_accuracy: 0.7899 - val_loss: 0.4544 - val_categorical_accuracy: 0.8302 - 390ms/epoch - 8ms/step
Epoch 119/1500
49/49 - 0s - loss: 0.4090 - categorical_accuracy: 0.8487 - val_loss: 0.4602 - val_categorical_accuracy: 0.8279 - 390ms/epoch - 8ms/step
Epoch 120/1500
49/49 - 0s - loss: 0.4250 - categorical_accuracy: 0.8403 - val_loss: 0.4803 - val_categorical_accuracy: 0.8240 - 415ms/epoch - 8ms/step
Epoch 121/1500
49/49 - 0s - loss: 0.4232 - categorical_accuracy: 0.8411 - val_loss: 0.4184 - val_categorical_accuracy: 0.8472 - 420ms/epoch - 9ms/step
Epoch 122/1500
49/49 - 0s - loss: 0.4125 - categorical_accuracy: 0.8457 - val_loss: 0.4995 - val_categorical_accuracy: 0.8183 - 390ms/epoch - 8ms/step
Epoch 123/1500
49/49 - 0s - loss: 0.4133 - categorical_accuracy: 0.8456 - val_loss: 0.4878 - val_categorical_accuracy: 0.8188 - 390ms/epoch - 8ms/step
Epoch 124/1500
49/49 - 0s - loss: 0.4108 - categorical_accuracy: 0.8470 - val_loss: 0.5323 - val_categorical_accuracy: 0.8039 - 390ms/epoch - 8ms/step
Epoch 125/1500
49/49 - 0s - loss: 0.4185 - categorical_accuracy: 0.8440 - val_loss: 0.4548 - val_categorical_accuracy: 0.8295 - 394ms/epoch - 8ms/step
Epoch 126/1500
49/49 - 0s - loss: 0.4061 - categorical_accuracy: 0.8470 - val_loss: 0.4721 - val_categorical_accuracy: 0.8198 - 420ms/epoch - 9ms/step
Epoch 127/1500
49/49 - 0s - loss: 0.4168 - categorical_accuracy: 0.8460 - val_loss: 0.4299 - val_categorical_accuracy: 0.8430 - 440ms/epoch - 9ms/step
Epoch 128/1500
49/49 - 0s - loss: 0.4022 - categorical_accuracy: 0.8485 - val_loss: 0.4609 - val_categorical_accuracy: 0.8328 - 390ms/epoch - 8ms/step
Epoch 129/1500
49/49 - 0s - loss: 0.3954 - categorical_accuracy: 0.8510 - val_loss: 0.4156 - val_categorical_accuracy: 0.8452 - 400ms/epoch - 8ms/step
Epoch 130/1500
49/49 - 0s - loss: 0.4072 - categorical_accuracy: 0.8473 - val_loss: 0.4386 - val_categorical_accuracy: 0.8317 - 395ms/epoch - 8ms/step
Epoch 131/1500
49/49 - 0s - loss: 0.3936 - categorical_accuracy: 0.8512 - val_loss: 0.4619 - val_categorical_accuracy: 0.8239 - 390ms/epoch - 8ms/step
Epoch 132/1500
49/49 - 0s - loss: 0.3898 - categorical_accuracy: 0.8545 - val_loss: 0.4477 - val_categorical_accuracy: 0.8364 - 400ms/epoch - 8ms/step
Epoch 133/1500
49/49 - 0s - loss: 0.3954 - categorical_accuracy: 0.8519 - val_loss: 0.4710 - val_categorical_accuracy: 0.8282 - 390ms/epoch - 8ms/step
Epoch 134/1500
49/49 - 0s - loss: 0.3966 - categorical_accuracy: 0.8521 - val_loss: 0.4919 - val_categorical_accuracy: 0.8256 - 390ms/epoch - 8ms/step
Epoch 135/1500
49/49 - 0s - loss: 0.3843 - categorical_accuracy: 0.8551 - val_loss: 0.4022 - val_categorical_accuracy: 0.8519 - 400ms/epoch - 8ms/step
Epoch 136/1500
49/49 - 0s - loss: 0.3787 - categorical_accuracy: 0.8578 - val_loss: 0.4490 - val_categorical_accuracy: 0.8318 - 410ms/epoch - 8ms/step
Epoch 137/1500
49/49 - 0s - loss: 0.3937 - categorical_accuracy: 0.8540 - val_loss: 0.4360 - val_categorical_accuracy: 0.8370 - 400ms/epoch - 8ms/step
Epoch 138/1500
49/49 - 0s - loss: 0.3756 - categorical_accuracy: 0.8586 - val_loss: 0.4462 - val_categorical_accuracy: 0.8336 - 400ms/epoch - 8ms/step
Epoch 139/1500
49/49 - 0s - loss: 0.6219 - categorical_accuracy: 0.7981 - val_loss: 0.4003 - val_categorical_accuracy: 0.8525 - 390ms/epoch - 8ms/step
Epoch 140/1500
49/49 - 0s - loss: 0.3634 - categorical_accuracy: 0.8662 - val_loss: 0.4843 - val_categorical_accuracy: 0.8181 - 390ms/epoch - 8ms/step
Epoch 141/1500
49/49 - 0s - loss: 0.3759 - categorical_accuracy: 0.8598 - val_loss: 0.4145 - val_categorical_accuracy: 0.8477 - 410ms/epoch - 8ms/step
Epoch 142/1500
49/49 - 0s - loss: 0.3669 - categorical_accuracy: 0.8637 - val_loss: 0.3926 - val_categorical_accuracy: 0.8560 - 420ms/epoch - 9ms/step
Epoch 143/1500
49/49 - 0s - loss: 0.3910 - categorical_accuracy: 0.8554 - val_loss: 0.4077 - val_categorical_accuracy: 0.8498 - 400ms/epoch - 8ms/step
Epoch 144/1500
49/49 - 0s - loss: 0.3555 - categorical_accuracy: 0.8673 - val_loss: 0.3971 - val_categorical_accuracy: 0.8592 - 390ms/epoch - 8ms/step
Epoch 145/1500
49/49 - 0s - loss: 0.3727 - categorical_accuracy: 0.8602 - val_loss: 0.4765 - val_categorical_accuracy: 0.8278 - 390ms/epoch - 8ms/step
Epoch 146/1500
49/49 - 0s - loss: 0.3571 - categorical_accuracy: 0.8680 - val_loss: 0.4046 - val_categorical_accuracy: 0.8527 - 390ms/epoch - 8ms/step
Epoch 147/1500
49/49 - 0s - loss: 0.3575 - categorical_accuracy: 0.8668 - val_loss: 0.5193 - val_categorical_accuracy: 0.8197 - 410ms/epoch - 8ms/step
Epoch 148/1500
49/49 - 0s - loss: 0.4330 - categorical_accuracy: 0.8449 - val_loss: 0.4258 - val_categorical_accuracy: 0.8373 - 420ms/epoch - 9ms/step
Epoch 149/1500
49/49 - 0s - loss: 0.3462 - categorical_accuracy: 0.8713 - val_loss: 0.3960 - val_categorical_accuracy: 0.8575 - 390ms/epoch - 8ms/step
Epoch 150/1500
49/49 - 0s - loss: 0.3523 - categorical_accuracy: 0.8688 - val_loss: 0.4298 - val_categorical_accuracy: 0.8447 - 394ms/epoch - 8ms/step
Epoch 151/1500
49/49 - 0s - loss: 0.3682 - categorical_accuracy: 0.8623 - val_loss: 0.4157 - val_categorical_accuracy: 0.8472 - 400ms/epoch - 8ms/step
Epoch 152/1500
49/49 - 0s - loss: 0.3596 - categorical_accuracy: 0.8663 - val_loss: 0.4588 - val_categorical_accuracy: 0.8319 - 390ms/epoch - 8ms/step
Epoch 153/1500
49/49 - 0s - loss: 0.3992 - categorical_accuracy: 0.8605 - val_loss: 0.4407 - val_categorical_accuracy: 0.8306 - 390ms/epoch - 8ms/step
Epoch 154/1500
49/49 - 0s - loss: 0.3679 - categorical_accuracy: 0.8649 - val_loss: 0.3787 - val_categorical_accuracy: 0.8629 - 430ms/epoch - 9ms/step
Epoch 155/1500
49/49 - 0s - loss: 0.3469 - categorical_accuracy: 0.8710 - val_loss: 0.3995 - val_categorical_accuracy: 0.8535 - 394ms/epoch - 8ms/step
Epoch 156/1500
49/49 - 0s - loss: 0.3395 - categorical_accuracy: 0.8733 - val_loss: 0.4779 - val_categorical_accuracy: 0.8168 - 390ms/epoch - 8ms/step
Epoch 157/1500
49/49 - 0s - loss: 0.4929 - categorical_accuracy: 0.8338 - val_loss: 0.3819 - val_categorical_accuracy: 0.8601 - 390ms/epoch - 8ms/step
Epoch 158/1500
49/49 - 0s - loss: 0.3262 - categorical_accuracy: 0.8805 - val_loss: 0.5051 - val_categorical_accuracy: 0.8178 - 400ms/epoch - 8ms/step
Epoch 159/1500
49/49 - 0s - loss: 0.3376 - categorical_accuracy: 0.8755 - val_loss: 0.4341 - val_categorical_accuracy: 0.8398 - 410ms/epoch - 8ms/step
Epoch 160/1500
49/49 - 0s - loss: 0.3446 - categorical_accuracy: 0.8718 - val_loss: 0.3947 - val_categorical_accuracy: 0.8576 - 430ms/epoch - 9ms/step
Epoch 161/1500
49/49 - 0s - loss: 0.3606 - categorical_accuracy: 0.8650 - val_loss: 0.3801 - val_categorical_accuracy: 0.8609 - 390ms/epoch - 8ms/step
Epoch 162/1500
49/49 - 0s - loss: 0.3265 - categorical_accuracy: 0.8802 - val_loss: 0.3759 - val_categorical_accuracy: 0.8658 - 390ms/epoch - 8ms/step
Epoch 163/1500
49/49 - 0s - loss: 0.3353 - categorical_accuracy: 0.8762 - val_loss: 0.3832 - val_categorical_accuracy: 0.8621 - 394ms/epoch - 8ms/step
Epoch 164/1500
49/49 - 0s - loss: 0.3362 - categorical_accuracy: 0.8759 - val_loss: 0.3762 - val_categorical_accuracy: 0.8685 - 390ms/epoch - 8ms/step
Epoch 165/1500
49/49 - 0s - loss: 0.3267 - categorical_accuracy: 0.8791 - val_loss: 0.3843 - val_categorical_accuracy: 0.8595 - 394ms/epoch - 8ms/step
Epoch 166/1500
49/49 - 0s - loss: 0.3406 - categorical_accuracy: 0.8730 - val_loss: 0.3547 - val_categorical_accuracy: 0.8759 - 410ms/epoch - 8ms/step
Epoch 167/1500
49/49 - 0s - loss: 0.4124 - categorical_accuracy: 0.8587 - val_loss: 0.3935 - val_categorical_accuracy: 0.8595 - 400ms/epoch - 8ms/step
Epoch 168/1500
49/49 - 0s - loss: 0.3262 - categorical_accuracy: 0.8801 - val_loss: 0.4036 - val_categorical_accuracy: 0.8566 - 400ms/epoch - 8ms/step
Epoch 169/1500
49/49 - 0s - loss: 0.3274 - categorical_accuracy: 0.8790 - val_loss: 0.4137 - val_categorical_accuracy: 0.8484 - 390ms/epoch - 8ms/step
Epoch 170/1500
49/49 - 0s - loss: 0.3997 - categorical_accuracy: 0.8576 - val_loss: 0.4112 - val_categorical_accuracy: 0.8521 - 390ms/epoch - 8ms/step
Epoch 171/1500
49/49 - 0s - loss: 0.3177 - categorical_accuracy: 0.8834 - val_loss: 0.4010 - val_categorical_accuracy: 0.8582 - 420ms/epoch - 9ms/step
Epoch 172/1500
49/49 - 0s - loss: 0.3232 - categorical_accuracy: 0.8814 - val_loss: 0.3773 - val_categorical_accuracy: 0.8665 - 430ms/epoch - 9ms/step
Epoch 173/1500
49/49 - 0s - loss: 0.3112 - categorical_accuracy: 0.8843 - val_loss: 0.3901 - val_categorical_accuracy: 0.8575 - 390ms/epoch - 8ms/step
Epoch 174/1500
49/49 - 0s - loss: 0.3221 - categorical_accuracy: 0.8817 - val_loss: 0.4036 - val_categorical_accuracy: 0.8546 - 390ms/epoch - 8ms/step
Epoch 175/1500
49/49 - 0s - loss: 0.3088 - categorical_accuracy: 0.8857 - val_loss: 0.4362 - val_categorical_accuracy: 0.8430 - 390ms/epoch - 8ms/step
Epoch 176/1500
49/49 - 0s - loss: 0.3477 - categorical_accuracy: 0.8750 - val_loss: 0.3865 - val_categorical_accuracy: 0.8646 - 390ms/epoch - 8ms/step
Epoch 177/1500
49/49 - 0s - loss: 0.3487 - categorical_accuracy: 0.8751 - val_loss: 0.4405 - val_categorical_accuracy: 0.8394 - 390ms/epoch - 8ms/step
Epoch 178/1500
49/49 - 0s - loss: 0.3087 - categorical_accuracy: 0.8867 - val_loss: 0.4274 - val_categorical_accuracy: 0.8490 - 390ms/epoch - 8ms/step
Epoch 179/1500
49/49 - 0s - loss: 0.3720 - categorical_accuracy: 0.8695 - val_loss: 0.4285 - val_categorical_accuracy: 0.8482 - 410ms/epoch - 8ms/step
Epoch 180/1500
49/49 - 0s - loss: 0.3124 - categorical_accuracy: 0.8859 - val_loss: 0.4701 - val_categorical_accuracy: 0.8321 - 425ms/epoch - 9ms/step
Epoch 181/1500
49/49 - 0s - loss: 0.3050 - categorical_accuracy: 0.8866 - val_loss: 0.3991 - val_categorical_accuracy: 0.8583 - 430ms/epoch - 9ms/step
Epoch 182/1500
49/49 - 0s - loss: 0.3102 - categorical_accuracy: 0.8857 - val_loss: 0.4682 - val_categorical_accuracy: 0.8426 - 390ms/epoch - 8ms/step
Epoch 183/1500
49/49 - 0s - loss: 0.2993 - categorical_accuracy: 0.8910 - val_loss: 0.4685 - val_categorical_accuracy: 0.8406 - 390ms/epoch - 8ms/step
Epoch 184/1500
49/49 - 0s - loss: 0.3447 - categorical_accuracy: 0.8748 - val_loss: 0.4053 - val_categorical_accuracy: 0.8574 - 390ms/epoch - 8ms/step
Epoch 185/1500
49/49 - 0s - loss: 0.2992 - categorical_accuracy: 0.8897 - val_loss: 0.3918 - val_categorical_accuracy: 0.8594 - 395ms/epoch - 8ms/step
Epoch 186/1500
49/49 - 0s - loss: 0.2990 - categorical_accuracy: 0.8909 - val_loss: 0.3463 - val_categorical_accuracy: 0.8775 - 390ms/epoch - 8ms/step
Epoch 187/1500
49/49 - 0s - loss: 0.3045 - categorical_accuracy: 0.8870 - val_loss: 0.3735 - val_categorical_accuracy: 0.8653 - 390ms/epoch - 8ms/step
Epoch 188/1500
49/49 - 0s - loss: 0.3043 - categorical_accuracy: 0.8882 - val_loss: 1.3971 - val_categorical_accuracy: 0.6671 - 410ms/epoch - 8ms/step
Epoch 189/1500
49/49 - 0s - loss: 0.7264 - categorical_accuracy: 0.7867 - val_loss: 0.3600 - val_categorical_accuracy: 0.8745 - 430ms/epoch - 9ms/step
Epoch 190/1500
49/49 - 0s - loss: 0.2900 - categorical_accuracy: 0.8963 - val_loss: 0.3719 - val_categorical_accuracy: 0.8669 - 390ms/epoch - 8ms/step
Epoch 191/1500
49/49 - 0s - loss: 0.2920 - categorical_accuracy: 0.8934 - val_loss: 0.3912 - val_categorical_accuracy: 0.8635 - 400ms/epoch - 8ms/step
Epoch 192/1500
49/49 - 0s - loss: 0.2886 - categorical_accuracy: 0.8954 - val_loss: 0.3992 - val_categorical_accuracy: 0.8604 - 390ms/epoch - 8ms/step
Epoch 193/1500
49/49 - 0s - loss: 0.2995 - categorical_accuracy: 0.8898 - val_loss: 0.4039 - val_categorical_accuracy: 0.8601 - 390ms/epoch - 8ms/step
Epoch 194/1500
49/49 - 0s - loss: 0.2907 - categorical_accuracy: 0.8925 - val_loss: 0.4117 - val_categorical_accuracy: 0.8510 - 390ms/epoch - 8ms/step
Epoch 195/1500
49/49 - 0s - loss: 0.3181 - categorical_accuracy: 0.8875 - val_loss: 0.4776 - val_categorical_accuracy: 0.8354 - 414ms/epoch - 8ms/step
Epoch 196/1500
49/49 - 0s - loss: 0.2947 - categorical_accuracy: 0.8934 - val_loss: 0.3614 - val_categorical_accuracy: 0.8709 - 430ms/epoch - 9ms/step
Epoch 197/1500
49/49 - 0s - loss: 0.2894 - categorical_accuracy: 0.8939 - val_loss: 0.4212 - val_categorical_accuracy: 0.8453 - 390ms/epoch - 8ms/step
Epoch 198/1500
49/49 - 0s - loss: 0.2879 - categorical_accuracy: 0.8951 - val_loss: 0.4156 - val_categorical_accuracy: 0.8551 - 390ms/epoch - 8ms/step
Epoch 199/1500
49/49 - 0s - loss: 0.2828 - categorical_accuracy: 0.8960 - val_loss: 0.4246 - val_categorical_accuracy: 0.8527 - 390ms/epoch - 8ms/step
Epoch 200/1500
49/49 - 0s - loss: 0.2870 - categorical_accuracy: 0.8950 - val_loss: 0.3348 - val_categorical_accuracy: 0.8822 - 390ms/epoch - 8ms/step
Epoch 201/1500
49/49 - 0s - loss: 0.2774 - categorical_accuracy: 0.8988 - val_loss: 0.4111 - val_categorical_accuracy: 0.8588 - 390ms/epoch - 8ms/step
Epoch 202/1500
49/49 - 0s - loss: 0.3614 - categorical_accuracy: 0.8788 - val_loss: 0.3666 - val_categorical_accuracy: 0.8684 - 410ms/epoch - 8ms/step
Epoch 203/1500
49/49 - 0s - loss: 0.2781 - categorical_accuracy: 0.8988 - val_loss: 0.3623 - val_categorical_accuracy: 0.8724 - 420ms/epoch - 9ms/step
Epoch 204/1500
49/49 - 0s - loss: 0.2836 - categorical_accuracy: 0.8948 - val_loss: 0.3371 - val_categorical_accuracy: 0.8816 - 390ms/epoch - 8ms/step
Epoch 205/1500
49/49 - 0s - loss: 0.2785 - categorical_accuracy: 0.8994 - val_loss: 0.4193 - val_categorical_accuracy: 0.8501 - 395ms/epoch - 8ms/step
Epoch 206/1500
49/49 - 0s - loss: 0.2821 - categorical_accuracy: 0.8959 - val_loss: 0.3636 - val_categorical_accuracy: 0.8729 - 400ms/epoch - 8ms/step
Epoch 207/1500
49/49 - 0s - loss: 0.2837 - categorical_accuracy: 0.8973 - val_loss: 0.3607 - val_categorical_accuracy: 0.8734 - 400ms/epoch - 8ms/step
Epoch 208/1500
49/49 - 0s - loss: 0.4527 - categorical_accuracy: 0.8567 - val_loss: 0.6849 - val_categorical_accuracy: 0.7502 - 410ms/epoch - 8ms/step
Epoch 209/1500
49/49 - 0s - loss: 0.2930 - categorical_accuracy: 0.8965 - val_loss: 0.3469 - val_categorical_accuracy: 0.8776 - 390ms/epoch - 8ms/step
Epoch 210/1500
49/49 - 0s - loss: 0.2737 - categorical_accuracy: 0.9006 - val_loss: 0.3526 - val_categorical_accuracy: 0.8735 - 400ms/epoch - 8ms/step
Epoch 211/1500
49/49 - 0s - loss: 0.2669 - categorical_accuracy: 0.9035 - val_loss: 0.3698 - val_categorical_accuracy: 0.8650 - 390ms/epoch - 8ms/step
Epoch 212/1500
49/49 - 0s - loss: 0.2872 - categorical_accuracy: 0.8938 - val_loss: 0.3553 - val_categorical_accuracy: 0.8756 - 390ms/epoch - 8ms/step
Epoch 213/1500
49/49 - 0s - loss: 0.2662 - categorical_accuracy: 0.9024 - val_loss: 0.3687 - val_categorical_accuracy: 0.8750 - 420ms/epoch - 9ms/step
Epoch 214/1500
49/49 - 0s - loss: 0.2690 - categorical_accuracy: 0.9008 - val_loss: 0.3354 - val_categorical_accuracy: 0.8840 - 430ms/epoch - 9ms/step
Epoch 215/1500
49/49 - 0s - loss: 0.2519 - categorical_accuracy: 0.9090 - val_loss: 0.3746 - val_categorical_accuracy: 0.8658 - 424ms/epoch - 9ms/step
Epoch 216/1500
49/49 - 0s - loss: 0.3111 - categorical_accuracy: 0.8898 - val_loss: 0.3256 - val_categorical_accuracy: 0.8865 - 400ms/epoch - 8ms/step
Epoch 217/1500
49/49 - 0s - loss: 0.2638 - categorical_accuracy: 0.9051 - val_loss: 0.4715 - val_categorical_accuracy: 0.8439 - 400ms/epoch - 8ms/step
Epoch 218/1500
49/49 - 0s - loss: 0.2499 - categorical_accuracy: 0.9103 - val_loss: 0.3459 - val_categorical_accuracy: 0.8797 - 390ms/epoch - 8ms/step
Epoch 219/1500
49/49 - 0s - loss: 0.2806 - categorical_accuracy: 0.8964 - val_loss: 0.3363 - val_categorical_accuracy: 0.8843 - 390ms/epoch - 8ms/step
Epoch 220/1500
49/49 - 0s - loss: 0.2846 - categorical_accuracy: 0.8981 - val_loss: 0.3247 - val_categorical_accuracy: 0.8864 - 395ms/epoch - 8ms/step
Epoch 221/1500
49/49 - 0s - loss: 0.2543 - categorical_accuracy: 0.9071 - val_loss: 0.3399 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 222/1500
49/49 - 0s - loss: 0.2598 - categorical_accuracy: 0.9053 - val_loss: 0.3418 - val_categorical_accuracy: 0.8819 - 390ms/epoch - 8ms/step
Epoch 223/1500
49/49 - 0s - loss: 0.2794 - categorical_accuracy: 0.8985 - val_loss: 0.3527 - val_categorical_accuracy: 0.8716 - 390ms/epoch - 8ms/step
Epoch 224/1500
49/49 - 0s - loss: 0.2595 - categorical_accuracy: 0.9050 - val_loss: 0.4105 - val_categorical_accuracy: 0.8475 - 390ms/epoch - 8ms/step
Epoch 225/1500
49/49 - 0s - loss: 0.2560 - categorical_accuracy: 0.9066 - val_loss: 0.4328 - val_categorical_accuracy: 0.8471 - 390ms/epoch - 8ms/step
Epoch 226/1500
49/49 - 0s - loss: 0.2529 - categorical_accuracy: 0.9078 - val_loss: 0.4540 - val_categorical_accuracy: 0.8457 - 410ms/epoch - 8ms/step
Epoch 227/1500
49/49 - 0s - loss: 0.2673 - categorical_accuracy: 0.9035 - val_loss: 0.3484 - val_categorical_accuracy: 0.8787 - 430ms/epoch - 9ms/step
Epoch 228/1500
49/49 - 0s - loss: 0.2673 - categorical_accuracy: 0.9023 - val_loss: 0.3381 - val_categorical_accuracy: 0.8834 - 390ms/epoch - 8ms/step
Epoch 229/1500
49/49 - 0s - loss: 0.2651 - categorical_accuracy: 0.9047 - val_loss: 0.3236 - val_categorical_accuracy: 0.8880 - 390ms/epoch - 8ms/step
Epoch 230/1500
49/49 - 0s - loss: 0.2680 - categorical_accuracy: 0.9015 - val_loss: 0.3305 - val_categorical_accuracy: 0.8817 - 394ms/epoch - 8ms/step
Epoch 231/1500
49/49 - 0s - loss: 0.2483 - categorical_accuracy: 0.9096 - val_loss: 0.4047 - val_categorical_accuracy: 0.8506 - 390ms/epoch - 8ms/step
Epoch 232/1500
49/49 - 0s - loss: 0.2571 - categorical_accuracy: 0.9066 - val_loss: 0.4057 - val_categorical_accuracy: 0.8603 - 410ms/epoch - 8ms/step
Epoch 233/1500
49/49 - 0s - loss: 0.2606 - categorical_accuracy: 0.9070 - val_loss: 0.4183 - val_categorical_accuracy: 0.8562 - 430ms/epoch - 9ms/step
Epoch 234/1500
49/49 - 0s - loss: 0.4850 - categorical_accuracy: 0.8514 - val_loss: 0.3364 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 235/1500
49/49 - 0s - loss: 0.2325 - categorical_accuracy: 0.9177 - val_loss: 0.3274 - val_categorical_accuracy: 0.8889 - 394ms/epoch - 8ms/step
Epoch 236/1500
49/49 - 0s - loss: 0.2540 - categorical_accuracy: 0.9075 - val_loss: 0.4196 - val_categorical_accuracy: 0.8578 - 390ms/epoch - 8ms/step
Epoch 237/1500
49/49 - 0s - loss: 0.2490 - categorical_accuracy: 0.9098 - val_loss: 0.3412 - val_categorical_accuracy: 0.8807 - 394ms/epoch - 8ms/step
Epoch 238/1500
49/49 - 0s - loss: 0.2464 - categorical_accuracy: 0.9103 - val_loss: 0.3261 - val_categorical_accuracy: 0.8880 - 397ms/epoch - 8ms/step
Epoch 239/1500
49/49 - 0s - loss: 0.2460 - categorical_accuracy: 0.9100 - val_loss: 0.3343 - val_categorical_accuracy: 0.8839 - 410ms/epoch - 8ms/step
Epoch 240/1500
49/49 - 0s - loss: 0.2348 - categorical_accuracy: 0.9158 - val_loss: 0.3884 - val_categorical_accuracy: 0.8675 - 430ms/epoch - 9ms/step
Epoch 241/1500
49/49 - 0s - loss: 0.2489 - categorical_accuracy: 0.9099 - val_loss: 0.3396 - val_categorical_accuracy: 0.8832 - 390ms/epoch - 8ms/step
Epoch 242/1500
49/49 - 0s - loss: 0.2310 - categorical_accuracy: 0.9171 - val_loss: 0.4546 - val_categorical_accuracy: 0.8468 - 390ms/epoch - 8ms/step
Epoch 243/1500
49/49 - 0s - loss: 0.2587 - categorical_accuracy: 0.9056 - val_loss: 0.3845 - val_categorical_accuracy: 0.8673 - 400ms/epoch - 8ms/step
Epoch 244/1500
49/49 - 0s - loss: 0.2411 - categorical_accuracy: 0.9123 - val_loss: 0.3610 - val_categorical_accuracy: 0.8787 - 400ms/epoch - 8ms/step
Epoch 245/1500
49/49 - 0s - loss: 0.2353 - categorical_accuracy: 0.9143 - val_loss: 0.4365 - val_categorical_accuracy: 0.8462 - 384ms/epoch - 8ms/step
Epoch 246/1500
49/49 - 0s - loss: 0.2629 - categorical_accuracy: 0.9073 - val_loss: 0.3309 - val_categorical_accuracy: 0.8859 - 400ms/epoch - 8ms/step
Epoch 247/1500
49/49 - 0s - loss: 0.2373 - categorical_accuracy: 0.9149 - val_loss: 0.3206 - val_categorical_accuracy: 0.8897 - 410ms/epoch - 8ms/step
Epoch 248/1500
49/49 - 0s - loss: 0.2420 - categorical_accuracy: 0.9137 - val_loss: 0.3163 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 249/1500
49/49 - 0s - loss: 0.2257 - categorical_accuracy: 0.9196 - val_loss: 0.3775 - val_categorical_accuracy: 0.8701 - 390ms/epoch - 8ms/step
Epoch 250/1500
49/49 - 0s - loss: 0.2879 - categorical_accuracy: 0.9023 - val_loss: 0.3140 - val_categorical_accuracy: 0.8906 - 400ms/epoch - 8ms/step
Epoch 251/1500
49/49 - 0s - loss: 0.2280 - categorical_accuracy: 0.9181 - val_loss: 0.3389 - val_categorical_accuracy: 0.8793 - 400ms/epoch - 8ms/step
Epoch 252/1500
49/49 - 0s - loss: 0.2415 - categorical_accuracy: 0.9110 - val_loss: 0.4497 - val_categorical_accuracy: 0.8482 - 420ms/epoch - 9ms/step
Epoch 253/1500
49/49 - 0s - loss: 0.2468 - categorical_accuracy: 0.9110 - val_loss: 0.3215 - val_categorical_accuracy: 0.8898 - 430ms/epoch - 9ms/step
Epoch 254/1500
49/49 - 0s - loss: 0.2594 - categorical_accuracy: 0.9084 - val_loss: 0.3248 - val_categorical_accuracy: 0.8873 - 390ms/epoch - 8ms/step
Epoch 255/1500
49/49 - 0s - loss: 0.2160 - categorical_accuracy: 0.9222 - val_loss: 0.3340 - val_categorical_accuracy: 0.8858 - 390ms/epoch - 8ms/step
Epoch 256/1500
49/49 - 0s - loss: 0.6228 - categorical_accuracy: 0.8207 - val_loss: 0.3842 - val_categorical_accuracy: 0.8670 - 390ms/epoch - 8ms/step
Epoch 257/1500
49/49 - 0s - loss: 0.2380 - categorical_accuracy: 0.9173 - val_loss: 0.3413 - val_categorical_accuracy: 0.8787 - 390ms/epoch - 8ms/step
Epoch 258/1500
49/49 - 0s - loss: 0.2081 - categorical_accuracy: 0.9267 - val_loss: 0.3933 - val_categorical_accuracy: 0.8725 - 390ms/epoch - 8ms/step
Epoch 259/1500
49/49 - 0s - loss: 0.2342 - categorical_accuracy: 0.9163 - val_loss: 0.4054 - val_categorical_accuracy: 0.8636 - 410ms/epoch - 8ms/step
Epoch 260/1500
49/49 - 0s - loss: 0.2307 - categorical_accuracy: 0.9174 - val_loss: 0.4642 - val_categorical_accuracy: 0.8509 - 424ms/epoch - 9ms/step
Epoch 261/1500
49/49 - 0s - loss: 0.2267 - categorical_accuracy: 0.9180 - val_loss: 0.3433 - val_categorical_accuracy: 0.8778 - 400ms/epoch - 8ms/step
Epoch 262/1500
49/49 - 0s - loss: 0.2313 - categorical_accuracy: 0.9160 - val_loss: 0.3653 - val_categorical_accuracy: 0.8708 - 390ms/epoch - 8ms/step
Epoch 263/1500
49/49 - 0s - loss: 0.2775 - categorical_accuracy: 0.9045 - val_loss: 0.3100 - val_categorical_accuracy: 0.8950 - 390ms/epoch - 8ms/step
Epoch 264/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9229 - val_loss: 0.3595 - val_categorical_accuracy: 0.8766 - 390ms/epoch - 8ms/step
Epoch 265/1500
49/49 - 0s - loss: 0.2225 - categorical_accuracy: 0.9200 - val_loss: 0.3301 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 266/1500
49/49 - 0s - loss: 0.2302 - categorical_accuracy: 0.9167 - val_loss: 0.3315 - val_categorical_accuracy: 0.8857 - 390ms/epoch - 8ms/step
Epoch 267/1500
49/49 - 0s - loss: 0.2217 - categorical_accuracy: 0.9194 - val_loss: 0.3536 - val_categorical_accuracy: 0.8798 - 400ms/epoch - 8ms/step
Epoch 268/1500
49/49 - 0s - loss: 0.2150 - categorical_accuracy: 0.9229 - val_loss: 0.3532 - val_categorical_accuracy: 0.8797 - 420ms/epoch - 9ms/step
Epoch 269/1500
49/49 - 0s - loss: 0.2289 - categorical_accuracy: 0.9164 - val_loss: 0.3599 - val_categorical_accuracy: 0.8739 - 430ms/epoch - 9ms/step
Epoch 270/1500
49/49 - 0s - loss: 0.2205 - categorical_accuracy: 0.9214 - val_loss: 0.4511 - val_categorical_accuracy: 0.8449 - 390ms/epoch - 8ms/step
Epoch 271/1500
49/49 - 0s - loss: 0.2520 - categorical_accuracy: 0.9129 - val_loss: 0.4443 - val_categorical_accuracy: 0.8571 - 400ms/epoch - 8ms/step
Epoch 272/1500
49/49 - 0s - loss: 0.2317 - categorical_accuracy: 0.9168 - val_loss: 0.3855 - val_categorical_accuracy: 0.8627 - 400ms/epoch - 8ms/step
Epoch 273/1500
49/49 - 0s - loss: 0.2131 - categorical_accuracy: 0.9223 - val_loss: 0.3448 - val_categorical_accuracy: 0.8826 - 400ms/epoch - 8ms/step
Epoch 274/1500
49/49 - 0s - loss: 0.2509 - categorical_accuracy: 0.9117 - val_loss: 0.3181 - val_categorical_accuracy: 0.8916 - 390ms/epoch - 8ms/step
Epoch 275/1500
49/49 - 0s - loss: 0.2121 - categorical_accuracy: 0.9233 - val_loss: 0.3165 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 276/1500
49/49 - 0s - loss: 0.2294 - categorical_accuracy: 0.9161 - val_loss: 0.3250 - val_categorical_accuracy: 0.8911 - 410ms/epoch - 8ms/step
Epoch 277/1500
49/49 - 0s - loss: 0.2061 - categorical_accuracy: 0.9262 - val_loss: 0.3298 - val_categorical_accuracy: 0.8855 - 390ms/epoch - 8ms/step
Epoch 278/1500
49/49 - 0s - loss: 0.3170 - categorical_accuracy: 0.8970 - val_loss: 0.2983 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 279/1500
49/49 - 0s - loss: 0.1952 - categorical_accuracy: 0.9313 - val_loss: 0.3143 - val_categorical_accuracy: 0.8943 - 390ms/epoch - 8ms/step
Epoch 280/1500
49/49 - 0s - loss: 0.2246 - categorical_accuracy: 0.9204 - val_loss: 0.3916 - val_categorical_accuracy: 0.8614 - 395ms/epoch - 8ms/step
Epoch 281/1500
49/49 - 0s - loss: 0.2006 - categorical_accuracy: 0.9280 - val_loss: 0.3263 - val_categorical_accuracy: 0.8916 - 410ms/epoch - 8ms/step
Epoch 282/1500
49/49 - 0s - loss: 0.2121 - categorical_accuracy: 0.9243 - val_loss: 0.3556 - val_categorical_accuracy: 0.8825 - 430ms/epoch - 9ms/step
Epoch 283/1500
49/49 - 0s - loss: 0.2121 - categorical_accuracy: 0.9230 - val_loss: 0.3880 - val_categorical_accuracy: 0.8685 - 400ms/epoch - 8ms/step
Epoch 284/1500
49/49 - 0s - loss: 0.2078 - categorical_accuracy: 0.9266 - val_loss: 0.4101 - val_categorical_accuracy: 0.8572 - 400ms/epoch - 8ms/step
Epoch 285/1500
49/49 - 0s - loss: 0.2382 - categorical_accuracy: 0.9158 - val_loss: 0.3479 - val_categorical_accuracy: 0.8837 - 394ms/epoch - 8ms/step
Epoch 286/1500
49/49 - 0s - loss: 0.2157 - categorical_accuracy: 0.9229 - val_loss: 0.3285 - val_categorical_accuracy: 0.8891 - 390ms/epoch - 8ms/step
Epoch 287/1500
49/49 - 0s - loss: 0.1877 - categorical_accuracy: 0.9338 - val_loss: 0.3511 - val_categorical_accuracy: 0.8829 - 390ms/epoch - 8ms/step
Epoch 288/1500
49/49 - 0s - loss: 0.2170 - categorical_accuracy: 0.9225 - val_loss: 0.3261 - val_categorical_accuracy: 0.8900 - 390ms/epoch - 8ms/step
Epoch 289/1500
49/49 - 0s - loss: 0.2193 - categorical_accuracy: 0.9218 - val_loss: 0.3325 - val_categorical_accuracy: 0.8893 - 390ms/epoch - 8ms/step
Epoch 290/1500
49/49 - 0s - loss: 0.2186 - categorical_accuracy: 0.9225 - val_loss: 0.3107 - val_categorical_accuracy: 0.8950 - 405ms/epoch - 8ms/step
Epoch 291/1500
49/49 - 0s - loss: 0.2067 - categorical_accuracy: 0.9256 - val_loss: 0.3894 - val_categorical_accuracy: 0.8737 - 420ms/epoch - 9ms/step
Epoch 292/1500
49/49 - 0s - loss: 0.2222 - categorical_accuracy: 0.9199 - val_loss: 0.3351 - val_categorical_accuracy: 0.8865 - 390ms/epoch - 8ms/step
Epoch 293/1500
49/49 - 0s - loss: 0.2021 - categorical_accuracy: 0.9274 - val_loss: 0.3573 - val_categorical_accuracy: 0.8807 - 400ms/epoch - 8ms/step
Epoch 294/1500
49/49 - 0s - loss: 0.2031 - categorical_accuracy: 0.9271 - val_loss: 0.3172 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 295/1500
49/49 - 0s - loss: 0.2071 - categorical_accuracy: 0.9249 - val_loss: 0.3481 - val_categorical_accuracy: 0.8808 - 400ms/epoch - 8ms/step
Epoch 296/1500
49/49 - 0s - loss: 0.2078 - categorical_accuracy: 0.9258 - val_loss: 0.3752 - val_categorical_accuracy: 0.8725 - 420ms/epoch - 9ms/step
Epoch 297/1500
49/49 - 0s - loss: 0.2215 - categorical_accuracy: 0.9211 - val_loss: 0.3252 - val_categorical_accuracy: 0.8888 - 430ms/epoch - 9ms/step
Epoch 298/1500
49/49 - 0s - loss: 0.1893 - categorical_accuracy: 0.9323 - val_loss: 0.4300 - val_categorical_accuracy: 0.8543 - 390ms/epoch - 8ms/step
Epoch 299/1500
49/49 - 0s - loss: 0.2149 - categorical_accuracy: 0.9230 - val_loss: 0.5118 - val_categorical_accuracy: 0.8331 - 410ms/epoch - 8ms/step
Epoch 300/1500
49/49 - 0s - loss: 0.1873 - categorical_accuracy: 0.9345 - val_loss: 0.3163 - val_categorical_accuracy: 0.8977 - 394ms/epoch - 8ms/step
Epoch 301/1500
49/49 - 0s - loss: 0.2607 - categorical_accuracy: 0.9106 - val_loss: 0.3230 - val_categorical_accuracy: 0.8902 - 390ms/epoch - 8ms/step
Epoch 302/1500
49/49 - 0s - loss: 0.2032 - categorical_accuracy: 0.9269 - val_loss: 0.4003 - val_categorical_accuracy: 0.8614 - 390ms/epoch - 8ms/step
Epoch 303/1500
49/49 - 0s - loss: 0.1812 - categorical_accuracy: 0.9360 - val_loss: 0.4520 - val_categorical_accuracy: 0.8477 - 390ms/epoch - 8ms/step
Epoch 304/1500
49/49 - 0s - loss: 0.2227 - categorical_accuracy: 0.9199 - val_loss: 0.3288 - val_categorical_accuracy: 0.8918 - 390ms/epoch - 8ms/step
Epoch 305/1500
49/49 - 0s - loss: 0.1807 - categorical_accuracy: 0.9362 - val_loss: 0.4921 - val_categorical_accuracy: 0.8487 - 394ms/epoch - 8ms/step
Epoch 306/1500
49/49 - 0s - loss: 0.2092 - categorical_accuracy: 0.9263 - val_loss: 0.5226 - val_categorical_accuracy: 0.8344 - 430ms/epoch - 9ms/step
Epoch 307/1500
49/49 - 0s - loss: 0.2430 - categorical_accuracy: 0.9195 - val_loss: 0.4065 - val_categorical_accuracy: 0.8612 - 400ms/epoch - 8ms/step
Epoch 308/1500
49/49 - 0s - loss: 0.1885 - categorical_accuracy: 0.9347 - val_loss: 0.3284 - val_categorical_accuracy: 0.8921 - 400ms/epoch - 8ms/step
Epoch 309/1500
49/49 - 0s - loss: 0.3137 - categorical_accuracy: 0.8982 - val_loss: 0.2978 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 310/1500
49/49 - 0s - loss: 0.1925 - categorical_accuracy: 0.9323 - val_loss: 0.3234 - val_categorical_accuracy: 0.8939 - 394ms/epoch - 8ms/step
Epoch 311/1500
49/49 - 0s - loss: 0.1921 - categorical_accuracy: 0.9319 - val_loss: 0.3145 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 312/1500
49/49 - 0s - loss: 0.1848 - categorical_accuracy: 0.9345 - val_loss: 0.3626 - val_categorical_accuracy: 0.8825 - 400ms/epoch - 8ms/step
Epoch 313/1500
49/49 - 0s - loss: 0.1889 - categorical_accuracy: 0.9321 - val_loss: 0.3105 - val_categorical_accuracy: 0.8993 - 408ms/epoch - 8ms/step
Epoch 314/1500
49/49 - 0s - loss: 0.2138 - categorical_accuracy: 0.9248 - val_loss: 0.3443 - val_categorical_accuracy: 0.8838 - 430ms/epoch - 9ms/step
Epoch 315/1500
49/49 - 0s - loss: 0.1880 - categorical_accuracy: 0.9334 - val_loss: 0.4246 - val_categorical_accuracy: 0.8698 - 390ms/epoch - 8ms/step
Epoch 316/1500
49/49 - 0s - loss: 0.2139 - categorical_accuracy: 0.9228 - val_loss: 0.3281 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 317/1500
49/49 - 0s - loss: 0.1832 - categorical_accuracy: 0.9359 - val_loss: 0.3116 - val_categorical_accuracy: 0.8955 - 390ms/epoch - 8ms/step
Epoch 318/1500
49/49 - 0s - loss: 0.2127 - categorical_accuracy: 0.9256 - val_loss: 0.3098 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 319/1500
49/49 - 0s - loss: 0.1936 - categorical_accuracy: 0.9323 - val_loss: 0.3049 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 320/1500
49/49 - 0s - loss: 0.1666 - categorical_accuracy: 0.9416 - val_loss: 0.3503 - val_categorical_accuracy: 0.8845 - 414ms/epoch - 8ms/step
Epoch 321/1500
49/49 - 0s - loss: 0.4231 - categorical_accuracy: 0.8797 - val_loss: 0.3828 - val_categorical_accuracy: 0.8688 - 430ms/epoch - 9ms/step
Epoch 322/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9345 - val_loss: 0.3067 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 323/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9402 - val_loss: 0.3667 - val_categorical_accuracy: 0.8817 - 390ms/epoch - 8ms/step
Epoch 324/1500
49/49 - 0s - loss: 0.1907 - categorical_accuracy: 0.9310 - val_loss: 0.3011 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 325/1500
49/49 - 0s - loss: 0.1656 - categorical_accuracy: 0.9417 - val_loss: 0.3347 - val_categorical_accuracy: 0.8946 - 400ms/epoch - 8ms/step
Epoch 326/1500
49/49 - 0s - loss: 0.2044 - categorical_accuracy: 0.9275 - val_loss: 0.3579 - val_categorical_accuracy: 0.8828 - 390ms/epoch - 8ms/step
Epoch 327/1500
49/49 - 1s - loss: 0.2017 - categorical_accuracy: 0.9270 - val_loss: 0.3361 - val_categorical_accuracy: 0.8886 - 560ms/epoch - 11ms/step
Epoch 328/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9359 - val_loss: 0.3308 - val_categorical_accuracy: 0.8954 - 430ms/epoch - 9ms/step
Epoch 329/1500
49/49 - 0s - loss: 0.1854 - categorical_accuracy: 0.9334 - val_loss: 0.3069 - val_categorical_accuracy: 0.9007 - 430ms/epoch - 9ms/step
Epoch 330/1500
49/49 - 0s - loss: 0.1770 - categorical_accuracy: 0.9381 - val_loss: 0.3517 - val_categorical_accuracy: 0.8870 - 430ms/epoch - 9ms/step
Epoch 331/1500
49/49 - 0s - loss: 0.1925 - categorical_accuracy: 0.9297 - val_loss: 0.3273 - val_categorical_accuracy: 0.8959 - 390ms/epoch - 8ms/step
Epoch 332/1500
49/49 - 0s - loss: 0.2520 - categorical_accuracy: 0.9105 - val_loss: 0.3175 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 333/1500
49/49 - 0s - loss: 0.1554 - categorical_accuracy: 0.9454 - val_loss: 0.3201 - val_categorical_accuracy: 0.8987 - 400ms/epoch - 8ms/step
Epoch 334/1500
49/49 - 0s - loss: 0.1776 - categorical_accuracy: 0.9371 - val_loss: 0.3147 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 335/1500
49/49 - 0s - loss: 0.2117 - categorical_accuracy: 0.9236 - val_loss: 0.3034 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 336/1500
49/49 - 0s - loss: 0.1584 - categorical_accuracy: 0.9440 - val_loss: 0.3860 - val_categorical_accuracy: 0.8755 - 390ms/epoch - 8ms/step
Epoch 337/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9267 - val_loss: 0.3255 - val_categorical_accuracy: 0.8930 - 390ms/epoch - 8ms/step
Epoch 338/1500
49/49 - 0s - loss: 0.1758 - categorical_accuracy: 0.9375 - val_loss: 0.3956 - val_categorical_accuracy: 0.8704 - 410ms/epoch - 8ms/step
Epoch 339/1500
49/49 - 0s - loss: 0.1920 - categorical_accuracy: 0.9313 - val_loss: 0.4032 - val_categorical_accuracy: 0.8716 - 420ms/epoch - 9ms/step
Epoch 340/1500
49/49 - 0s - loss: 0.1678 - categorical_accuracy: 0.9407 - val_loss: 0.3382 - val_categorical_accuracy: 0.8937 - 390ms/epoch - 8ms/step
Epoch 341/1500
49/49 - 0s - loss: 0.1826 - categorical_accuracy: 0.9351 - val_loss: 0.3960 - val_categorical_accuracy: 0.8799 - 390ms/epoch - 8ms/step
Epoch 342/1500
49/49 - 0s - loss: 0.2149 - categorical_accuracy: 0.9242 - val_loss: 0.3335 - val_categorical_accuracy: 0.8934 - 390ms/epoch - 8ms/step
Epoch 343/1500
49/49 - 0s - loss: 0.1580 - categorical_accuracy: 0.9440 - val_loss: 0.3524 - val_categorical_accuracy: 0.8883 - 390ms/epoch - 8ms/step
Epoch 344/1500
49/49 - 0s - loss: 0.1757 - categorical_accuracy: 0.9379 - val_loss: 0.3642 - val_categorical_accuracy: 0.8882 - 410ms/epoch - 8ms/step
Epoch 345/1500
49/49 - 0s - loss: 0.1927 - categorical_accuracy: 0.9353 - val_loss: 0.3931 - val_categorical_accuracy: 0.8724 - 430ms/epoch - 9ms/step
Epoch 346/1500
49/49 - 0s - loss: 0.2845 - categorical_accuracy: 0.9090 - val_loss: 0.3577 - val_categorical_accuracy: 0.8783 - 390ms/epoch - 8ms/step
Epoch 347/1500
49/49 - 0s - loss: 0.1595 - categorical_accuracy: 0.9449 - val_loss: 0.3391 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 348/1500
49/49 - 0s - loss: 0.1831 - categorical_accuracy: 0.9364 - val_loss: 0.3097 - val_categorical_accuracy: 0.8969 - 400ms/epoch - 8ms/step
Epoch 349/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9373 - val_loss: 0.3338 - val_categorical_accuracy: 0.8936 - 400ms/epoch - 8ms/step
Epoch 350/1500
49/49 - 0s - loss: 0.1482 - categorical_accuracy: 0.9487 - val_loss: 0.3951 - val_categorical_accuracy: 0.8783 - 390ms/epoch - 8ms/step
Epoch 351/1500
49/49 - 0s - loss: 0.2086 - categorical_accuracy: 0.9271 - val_loss: 0.2957 - val_categorical_accuracy: 0.9083 - 410ms/epoch - 8ms/step
Epoch 352/1500
49/49 - 0s - loss: 0.1594 - categorical_accuracy: 0.9435 - val_loss: 0.4372 - val_categorical_accuracy: 0.8649 - 420ms/epoch - 9ms/step
Epoch 353/1500
49/49 - 0s - loss: 0.1983 - categorical_accuracy: 0.9302 - val_loss: 0.3412 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 354/1500
49/49 - 0s - loss: 0.1562 - categorical_accuracy: 0.9454 - val_loss: 0.3562 - val_categorical_accuracy: 0.8874 - 390ms/epoch - 8ms/step
Epoch 355/1500
49/49 - 0s - loss: 0.1866 - categorical_accuracy: 0.9340 - val_loss: 0.3286 - val_categorical_accuracy: 0.8951 - 400ms/epoch - 8ms/step
Epoch 356/1500
49/49 - 0s - loss: 0.1833 - categorical_accuracy: 0.9351 - val_loss: 0.5241 - val_categorical_accuracy: 0.8353 - 390ms/epoch - 8ms/step
Epoch 357/1500
49/49 - 0s - loss: 0.1961 - categorical_accuracy: 0.9324 - val_loss: 0.3140 - val_categorical_accuracy: 0.9005 - 410ms/epoch - 8ms/step
Epoch 358/1500
49/49 - 0s - loss: 0.1865 - categorical_accuracy: 0.9328 - val_loss: 0.3458 - val_categorical_accuracy: 0.8879 - 390ms/epoch - 8ms/step
Epoch 359/1500
49/49 - 0s - loss: 0.1572 - categorical_accuracy: 0.9445 - val_loss: 0.4448 - val_categorical_accuracy: 0.8599 - 390ms/epoch - 8ms/step
Epoch 360/1500
49/49 - 0s - loss: 0.1827 - categorical_accuracy: 0.9377 - val_loss: 0.3445 - val_categorical_accuracy: 0.8909 - 390ms/epoch - 8ms/step
Epoch 361/1500
49/49 - 0s - loss: 0.1993 - categorical_accuracy: 0.9289 - val_loss: 0.6237 - val_categorical_accuracy: 0.8127 - 400ms/epoch - 8ms/step
Epoch 362/1500
49/49 - 0s - loss: 0.1587 - categorical_accuracy: 0.9452 - val_loss: 0.3797 - val_categorical_accuracy: 0.8800 - 420ms/epoch - 9ms/step
Epoch 363/1500
49/49 - 0s - loss: 0.1897 - categorical_accuracy: 0.9318 - val_loss: 0.3153 - val_categorical_accuracy: 0.9023 - 430ms/epoch - 9ms/step
Epoch 364/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9389 - val_loss: 0.3251 - val_categorical_accuracy: 0.8966 - 420ms/epoch - 9ms/step
Epoch 365/1500
49/49 - 0s - loss: 0.1430 - categorical_accuracy: 0.9503 - val_loss: 0.4612 - val_categorical_accuracy: 0.8637 - 390ms/epoch - 8ms/step
Epoch 366/1500
49/49 - 0s - loss: 0.2313 - categorical_accuracy: 0.9224 - val_loss: 0.3494 - val_categorical_accuracy: 0.8894 - 390ms/epoch - 8ms/step
Epoch 367/1500
49/49 - 0s - loss: 0.1510 - categorical_accuracy: 0.9466 - val_loss: 0.3349 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 368/1500
49/49 - 0s - loss: 0.1638 - categorical_accuracy: 0.9411 - val_loss: 0.3609 - val_categorical_accuracy: 0.8889 - 390ms/epoch - 8ms/step
Epoch 369/1500
49/49 - 0s - loss: 0.1749 - categorical_accuracy: 0.9370 - val_loss: 0.5454 - val_categorical_accuracy: 0.8291 - 394ms/epoch - 8ms/step
Epoch 370/1500
49/49 - 0s - loss: 0.1895 - categorical_accuracy: 0.9375 - val_loss: 1.1100 - val_categorical_accuracy: 0.7345 - 396ms/epoch - 8ms/step
Epoch 371/1500
49/49 - 0s - loss: 0.3471 - categorical_accuracy: 0.8970 - val_loss: 0.3345 - val_categorical_accuracy: 0.8952 - 410ms/epoch - 8ms/step
Epoch 372/1500
49/49 - 0s - loss: 0.1436 - categorical_accuracy: 0.9502 - val_loss: 0.3209 - val_categorical_accuracy: 0.8975 - 400ms/epoch - 8ms/step
Epoch 373/1500
49/49 - 0s - loss: 0.1709 - categorical_accuracy: 0.9391 - val_loss: 0.3100 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 374/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9495 - val_loss: 0.3177 - val_categorical_accuracy: 0.9000 - 404ms/epoch - 8ms/step
Epoch 375/1500
49/49 - 0s - loss: 0.1993 - categorical_accuracy: 0.9319 - val_loss: 0.3028 - val_categorical_accuracy: 0.9064 - 396ms/epoch - 8ms/step
Epoch 376/1500
49/49 - 0s - loss: 0.1390 - categorical_accuracy: 0.9520 - val_loss: 0.3405 - val_categorical_accuracy: 0.8909 - 420ms/epoch - 9ms/step
Epoch 377/1500
49/49 - 0s - loss: 0.1767 - categorical_accuracy: 0.9373 - val_loss: 0.3098 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 378/1500
49/49 - 0s - loss: 0.1843 - categorical_accuracy: 0.9363 - val_loss: 0.3156 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 379/1500
49/49 - 0s - loss: 0.1832 - categorical_accuracy: 0.9412 - val_loss: 0.3037 - val_categorical_accuracy: 0.9054 - 389ms/epoch - 8ms/step
Epoch 380/1500
49/49 - 0s - loss: 0.1539 - categorical_accuracy: 0.9447 - val_loss: 0.3236 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 381/1500
49/49 - 0s - loss: 0.1402 - categorical_accuracy: 0.9513 - val_loss: 0.3356 - val_categorical_accuracy: 0.8956 - 388ms/epoch - 8ms/step
Epoch 382/1500
49/49 - 0s - loss: 0.2249 - categorical_accuracy: 0.9272 - val_loss: 0.3260 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 383/1500
49/49 - 0s - loss: 0.1813 - categorical_accuracy: 0.9351 - val_loss: 0.3088 - val_categorical_accuracy: 0.9013 - 397ms/epoch - 8ms/step
Epoch 384/1500
49/49 - 0s - loss: 0.1345 - categorical_accuracy: 0.9535 - val_loss: 0.3095 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 385/1500
49/49 - 0s - loss: 0.1525 - categorical_accuracy: 0.9471 - val_loss: 0.9289 - val_categorical_accuracy: 0.8158 - 405ms/epoch - 8ms/step
Epoch 386/1500
49/49 - 0s - loss: 0.1719 - categorical_accuracy: 0.9420 - val_loss: 0.3847 - val_categorical_accuracy: 0.8873 - 430ms/epoch - 9ms/step
Epoch 387/1500
49/49 - 0s - loss: 0.1579 - categorical_accuracy: 0.9434 - val_loss: 0.3942 - val_categorical_accuracy: 0.8886 - 403ms/epoch - 8ms/step
Epoch 388/1500
49/49 - 0s - loss: 0.1847 - categorical_accuracy: 0.9374 - val_loss: 0.3353 - val_categorical_accuracy: 0.8982 - 394ms/epoch - 8ms/step
Epoch 389/1500
49/49 - 0s - loss: 0.1537 - categorical_accuracy: 0.9458 - val_loss: 0.3292 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 390/1500
49/49 - 0s - loss: 0.1755 - categorical_accuracy: 0.9410 - val_loss: 0.3153 - val_categorical_accuracy: 0.9036 - 400ms/epoch - 8ms/step
Epoch 391/1500
49/49 - 0s - loss: 0.1665 - categorical_accuracy: 0.9431 - val_loss: 0.3031 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 392/1500
49/49 - 0s - loss: 0.1642 - categorical_accuracy: 0.9424 - val_loss: 0.3344 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 393/1500
49/49 - 0s - loss: 0.1721 - categorical_accuracy: 0.9393 - val_loss: 0.3398 - val_categorical_accuracy: 0.8951 - 390ms/epoch - 8ms/step
Epoch 394/1500
49/49 - 0s - loss: 0.1357 - categorical_accuracy: 0.9535 - val_loss: 0.3492 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 395/1500
49/49 - 0s - loss: 0.3173 - categorical_accuracy: 0.9053 - val_loss: 0.3506 - val_categorical_accuracy: 0.8865 - 420ms/epoch - 9ms/step
Epoch 396/1500
49/49 - 0s - loss: 0.1447 - categorical_accuracy: 0.9513 - val_loss: 0.3233 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 397/1500
49/49 - 0s - loss: 0.1285 - categorical_accuracy: 0.9558 - val_loss: 0.3166 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 398/1500
49/49 - 0s - loss: 0.1648 - categorical_accuracy: 0.9425 - val_loss: 0.3195 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 399/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9412 - val_loss: 0.3453 - val_categorical_accuracy: 0.8946 - 394ms/epoch - 8ms/step
Epoch 400/1500
49/49 - 0s - loss: 0.1597 - categorical_accuracy: 0.9444 - val_loss: 0.3337 - val_categorical_accuracy: 0.8971 - 410ms/epoch - 8ms/step
Epoch 401/1500
49/49 - 0s - loss: 0.1341 - categorical_accuracy: 0.9534 - val_loss: 0.3525 - val_categorical_accuracy: 0.8930 - 400ms/epoch - 8ms/step
Epoch 402/1500
49/49 - 0s - loss: 0.1583 - categorical_accuracy: 0.9434 - val_loss: 0.3282 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 403/1500
49/49 - 0s - loss: 0.1389 - categorical_accuracy: 0.9518 - val_loss: 0.3139 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 404/1500
49/49 - 0s - loss: 0.1772 - categorical_accuracy: 0.9392 - val_loss: 0.3230 - val_categorical_accuracy: 0.9044 - 400ms/epoch - 8ms/step
Epoch 405/1500
49/49 - 0s - loss: 0.1304 - categorical_accuracy: 0.9552 - val_loss: 0.3635 - val_categorical_accuracy: 0.8906 - 410ms/epoch - 8ms/step
Epoch 406/1500
49/49 - 0s - loss: 0.3148 - categorical_accuracy: 0.9062 - val_loss: 0.3141 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 407/1500
49/49 - 0s - loss: 0.1299 - categorical_accuracy: 0.9560 - val_loss: 0.3439 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 408/1500
49/49 - 0s - loss: 0.1479 - categorical_accuracy: 0.9488 - val_loss: 0.3273 - val_categorical_accuracy: 0.9031 - 390ms/epoch - 8ms/step
Epoch 409/1500
49/49 - 0s - loss: 0.2058 - categorical_accuracy: 0.9305 - val_loss: 0.3620 - val_categorical_accuracy: 0.8842 - 390ms/epoch - 8ms/step
Epoch 410/1500
49/49 - 0s - loss: 0.1307 - categorical_accuracy: 0.9553 - val_loss: 0.3227 - val_categorical_accuracy: 0.9032 - 420ms/epoch - 9ms/step
Epoch 411/1500
49/49 - 0s - loss: 0.1706 - categorical_accuracy: 0.9412 - val_loss: 0.3055 - val_categorical_accuracy: 0.9064 - 440ms/epoch - 9ms/step
Epoch 412/1500
49/49 - 0s - loss: 0.1378 - categorical_accuracy: 0.9517 - val_loss: 0.3640 - val_categorical_accuracy: 0.8892 - 430ms/epoch - 9ms/step
Epoch 413/1500
49/49 - 0s - loss: 0.1296 - categorical_accuracy: 0.9549 - val_loss: 0.4635 - val_categorical_accuracy: 0.8621 - 390ms/epoch - 8ms/step
Epoch 414/1500
49/49 - 0s - loss: 0.1517 - categorical_accuracy: 0.9463 - val_loss: 0.3743 - val_categorical_accuracy: 0.8911 - 390ms/epoch - 8ms/step
Epoch 415/1500
49/49 - 0s - loss: 0.1586 - categorical_accuracy: 0.9429 - val_loss: 0.3306 - val_categorical_accuracy: 0.9015 - 390ms/epoch - 8ms/step
Epoch 416/1500
49/49 - 0s - loss: 0.1287 - categorical_accuracy: 0.9557 - val_loss: 0.3415 - val_categorical_accuracy: 0.9019 - 390ms/epoch - 8ms/step
Epoch 417/1500
49/49 - 0s - loss: 0.1950 - categorical_accuracy: 0.9327 - val_loss: 0.3135 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 418/1500
49/49 - 0s - loss: 0.1762 - categorical_accuracy: 0.9419 - val_loss: 0.3214 - val_categorical_accuracy: 0.9014 - 390ms/epoch - 8ms/step
Epoch 419/1500
49/49 - 0s - loss: 0.1342 - categorical_accuracy: 0.9533 - val_loss: 0.3680 - val_categorical_accuracy: 0.8884 - 390ms/epoch - 8ms/step
Epoch 420/1500
49/49 - 0s - loss: 0.1323 - categorical_accuracy: 0.9541 - val_loss: 0.3153 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 421/1500
49/49 - 0s - loss: 0.1829 - categorical_accuracy: 0.9363 - val_loss: 0.3202 - val_categorical_accuracy: 0.9027 - 390ms/epoch - 8ms/step
Epoch 422/1500
49/49 - 0s - loss: 0.1214 - categorical_accuracy: 0.9586 - val_loss: 0.3182 - val_categorical_accuracy: 0.9083 - 420ms/epoch - 9ms/step
Epoch 423/1500
49/49 - 0s - loss: 0.1637 - categorical_accuracy: 0.9455 - val_loss: 0.3387 - val_categorical_accuracy: 0.8949 - 430ms/epoch - 9ms/step
Epoch 424/1500
49/49 - 0s - loss: 0.1300 - categorical_accuracy: 0.9550 - val_loss: 0.4462 - val_categorical_accuracy: 0.8783 - 400ms/epoch - 8ms/step
Epoch 425/1500
49/49 - 0s - loss: 0.2242 - categorical_accuracy: 0.9276 - val_loss: 0.3130 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 426/1500
49/49 - 0s - loss: 0.1187 - categorical_accuracy: 0.9594 - val_loss: 0.3188 - val_categorical_accuracy: 0.9092 - 390ms/epoch - 8ms/step
Epoch 427/1500
49/49 - 0s - loss: 0.1835 - categorical_accuracy: 0.9369 - val_loss: 0.3193 - val_categorical_accuracy: 0.9016 - 400ms/epoch - 8ms/step
Epoch 428/1500
49/49 - 0s - loss: 0.1272 - categorical_accuracy: 0.9559 - val_loss: 0.3170 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 429/1500
49/49 - 0s - loss: 0.1199 - categorical_accuracy: 0.9587 - val_loss: 0.3476 - val_categorical_accuracy: 0.8968 - 390ms/epoch - 8ms/step
Epoch 430/1500
49/49 - 0s - loss: 0.1702 - categorical_accuracy: 0.9391 - val_loss: 0.4774 - val_categorical_accuracy: 0.8654 - 410ms/epoch - 8ms/step
Epoch 431/1500
49/49 - 0s - loss: 0.1475 - categorical_accuracy: 0.9482 - val_loss: 0.3356 - val_categorical_accuracy: 0.9011 - 430ms/epoch - 9ms/step
Epoch 432/1500
49/49 - 0s - loss: 0.1776 - categorical_accuracy: 0.9397 - val_loss: 0.9723 - val_categorical_accuracy: 0.7476 - 390ms/epoch - 8ms/step
Epoch 433/1500
49/49 - 0s - loss: 0.2315 - categorical_accuracy: 0.9281 - val_loss: 0.3040 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 434/1500
49/49 - 0s - loss: 0.1502 - categorical_accuracy: 0.9487 - val_loss: 0.4173 - val_categorical_accuracy: 0.8701 - 390ms/epoch - 8ms/step
Epoch 435/1500
49/49 - 0s - loss: 0.1388 - categorical_accuracy: 0.9513 - val_loss: 0.3436 - val_categorical_accuracy: 0.8996 - 390ms/epoch - 8ms/step
Epoch 436/1500
49/49 - 0s - loss: 0.1238 - categorical_accuracy: 0.9571 - val_loss: 0.3297 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 437/1500
49/49 - 0s - loss: 0.1703 - categorical_accuracy: 0.9430 - val_loss: 0.3262 - val_categorical_accuracy: 0.9010 - 410ms/epoch - 8ms/step
Epoch 438/1500
49/49 - 0s - loss: 0.1212 - categorical_accuracy: 0.9590 - val_loss: 0.3422 - val_categorical_accuracy: 0.9001 - 430ms/epoch - 9ms/step
Epoch 439/1500
49/49 - 1s - loss: 0.1614 - categorical_accuracy: 0.9462 - val_loss: 0.3233 - val_categorical_accuracy: 0.9075 - 560ms/epoch - 11ms/step
Epoch 440/1500
49/49 - 0s - loss: 0.1323 - categorical_accuracy: 0.9536 - val_loss: 0.4752 - val_categorical_accuracy: 0.8683 - 400ms/epoch - 8ms/step
Epoch 441/1500
49/49 - 0s - loss: 0.1468 - categorical_accuracy: 0.9494 - val_loss: 0.3554 - val_categorical_accuracy: 0.8971 - 390ms/epoch - 8ms/step
Epoch 442/1500
49/49 - 0s - loss: 0.1159 - categorical_accuracy: 0.9598 - val_loss: 0.3492 - val_categorical_accuracy: 0.8992 - 400ms/epoch - 8ms/step
Epoch 443/1500
49/49 - 0s - loss: 0.3266 - categorical_accuracy: 0.9084 - val_loss: 0.3167 - val_categorical_accuracy: 0.9051 - 430ms/epoch - 9ms/step
Epoch 444/1500
49/49 - 0s - loss: 0.1194 - categorical_accuracy: 0.9591 - val_loss: 0.3530 - val_categorical_accuracy: 0.8958 - 430ms/epoch - 9ms/step
Epoch 445/1500
49/49 - 0s - loss: 0.1173 - categorical_accuracy: 0.9599 - val_loss: 0.3316 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 446/1500
49/49 - 0s - loss: 0.1343 - categorical_accuracy: 0.9525 - val_loss: 0.3831 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 447/1500
49/49 - 0s - loss: 0.1615 - categorical_accuracy: 0.9472 - val_loss: 0.3116 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 448/1500
49/49 - 0s - loss: 0.1576 - categorical_accuracy: 0.9464 - val_loss: 0.3276 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 449/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9543 - val_loss: 0.7092 - val_categorical_accuracy: 0.7832 - 395ms/epoch - 8ms/step
Epoch 450/1500
49/49 - 0s - loss: 0.1474 - categorical_accuracy: 0.9497 - val_loss: 0.3345 - val_categorical_accuracy: 0.9048 - 400ms/epoch - 8ms/step
Epoch 451/1500
49/49 - 0s - loss: 0.1149 - categorical_accuracy: 0.9602 - val_loss: 0.3344 - val_categorical_accuracy: 0.9063 - 420ms/epoch - 9ms/step
Epoch 452/1500
49/49 - 0s - loss: 0.1449 - categorical_accuracy: 0.9492 - val_loss: 0.3449 - val_categorical_accuracy: 0.9003 - 430ms/epoch - 9ms/step
Epoch 453/1500
49/49 - 0s - loss: 0.1452 - categorical_accuracy: 0.9480 - val_loss: 0.3434 - val_categorical_accuracy: 0.9004 - 390ms/epoch - 8ms/step
Epoch 454/1500
49/49 - 0s - loss: 0.1171 - categorical_accuracy: 0.9598 - val_loss: 0.3259 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 455/1500
49/49 - 0s - loss: 0.2247 - categorical_accuracy: 0.9307 - val_loss: 0.3187 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 456/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9495 - val_loss: 0.4417 - val_categorical_accuracy: 0.8697 - 390ms/epoch - 8ms/step
Epoch 457/1500
49/49 - 0s - loss: 0.1198 - categorical_accuracy: 0.9590 - val_loss: 0.3411 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 458/1500
49/49 - 0s - loss: 0.1523 - categorical_accuracy: 0.9481 - val_loss: 0.4001 - val_categorical_accuracy: 0.8845 - 390ms/epoch - 8ms/step
Epoch 459/1500
49/49 - 0s - loss: 0.1289 - categorical_accuracy: 0.9551 - val_loss: 0.3208 - val_categorical_accuracy: 0.9071 - 414ms/epoch - 8ms/step
Epoch 460/1500
49/49 - 0s - loss: 0.1494 - categorical_accuracy: 0.9518 - val_loss: 0.3540 - val_categorical_accuracy: 0.8968 - 430ms/epoch - 9ms/step
Epoch 461/1500
49/49 - 0s - loss: 0.1145 - categorical_accuracy: 0.9612 - val_loss: 0.3666 - val_categorical_accuracy: 0.8939 - 390ms/epoch - 8ms/step
Epoch 462/1500
49/49 - 0s - loss: 0.1949 - categorical_accuracy: 0.9404 - val_loss: 0.3638 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 463/1500
49/49 - 0s - loss: 0.1192 - categorical_accuracy: 0.9589 - val_loss: 0.4382 - val_categorical_accuracy: 0.8747 - 390ms/epoch - 8ms/step
Epoch 464/1500
49/49 - 0s - loss: 0.1502 - categorical_accuracy: 0.9485 - val_loss: 0.3150 - val_categorical_accuracy: 0.9125 - 394ms/epoch - 8ms/step
Epoch 465/1500
49/49 - 0s - loss: 0.1624 - categorical_accuracy: 0.9470 - val_loss: 0.3284 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 466/1500
49/49 - 0s - loss: 0.1197 - categorical_accuracy: 0.9588 - val_loss: 0.4030 - val_categorical_accuracy: 0.8846 - 410ms/epoch - 8ms/step
Epoch 467/1500
49/49 - 0s - loss: 0.1190 - categorical_accuracy: 0.9591 - val_loss: 0.3708 - val_categorical_accuracy: 0.8968 - 430ms/epoch - 9ms/step
Epoch 468/1500
49/49 - 0s - loss: 0.1664 - categorical_accuracy: 0.9462 - val_loss: 0.3465 - val_categorical_accuracy: 0.8994 - 400ms/epoch - 8ms/step
Epoch 469/1500
49/49 - 0s - loss: 0.1098 - categorical_accuracy: 0.9624 - val_loss: 0.3502 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 470/1500
49/49 - 0s - loss: 0.2173 - categorical_accuracy: 0.9328 - val_loss: 0.3356 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 471/1500
49/49 - 0s - loss: 0.1121 - categorical_accuracy: 0.9617 - val_loss: 0.3408 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 472/1500
49/49 - 0s - loss: 0.1321 - categorical_accuracy: 0.9544 - val_loss: 0.7806 - val_categorical_accuracy: 0.8471 - 390ms/epoch - 8ms/step
Epoch 473/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9507 - val_loss: 0.3622 - val_categorical_accuracy: 0.8954 - 410ms/epoch - 8ms/step
Epoch 474/1500
49/49 - 0s - loss: 0.1157 - categorical_accuracy: 0.9599 - val_loss: 0.3581 - val_categorical_accuracy: 0.9001 - 430ms/epoch - 9ms/step
Epoch 475/1500
49/49 - 0s - loss: 0.1685 - categorical_accuracy: 0.9456 - val_loss: 0.4506 - val_categorical_accuracy: 0.8730 - 390ms/epoch - 8ms/step
Epoch 476/1500
49/49 - 0s - loss: 0.1629 - categorical_accuracy: 0.9464 - val_loss: 0.3233 - val_categorical_accuracy: 0.9092 - 400ms/epoch - 8ms/step
Epoch 477/1500
49/49 - 0s - loss: 0.1078 - categorical_accuracy: 0.9634 - val_loss: 0.3494 - val_categorical_accuracy: 0.9024 - 400ms/epoch - 8ms/step
Epoch 478/1500
49/49 - 0s - loss: 0.2132 - categorical_accuracy: 0.9347 - val_loss: 0.3405 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 479/1500
49/49 - 0s - loss: 0.1130 - categorical_accuracy: 0.9619 - val_loss: 0.3278 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 480/1500
49/49 - 0s - loss: 0.1162 - categorical_accuracy: 0.9594 - val_loss: 0.3329 - val_categorical_accuracy: 0.9099 - 410ms/epoch - 8ms/step
Epoch 481/1500
49/49 - 0s - loss: 0.1138 - categorical_accuracy: 0.9605 - val_loss: 0.7921 - val_categorical_accuracy: 0.7984 - 390ms/epoch - 8ms/step
Epoch 482/1500
49/49 - 0s - loss: 0.2284 - categorical_accuracy: 0.9312 - val_loss: 0.3369 - val_categorical_accuracy: 0.9005 - 400ms/epoch - 8ms/step
Epoch 483/1500
49/49 - 0s - loss: 0.1079 - categorical_accuracy: 0.9636 - val_loss: 0.3373 - val_categorical_accuracy: 0.9058 - 390ms/epoch - 8ms/step
Epoch 484/1500
49/49 - 0s - loss: 0.1062 - categorical_accuracy: 0.9637 - val_loss: 0.3457 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 485/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9434 - val_loss: 0.3169 - val_categorical_accuracy: 0.9080 - 420ms/epoch - 9ms/step
Epoch 486/1500
49/49 - 0s - loss: 0.1094 - categorical_accuracy: 0.9630 - val_loss: 0.3364 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 487/1500
49/49 - 0s - loss: 0.1692 - categorical_accuracy: 0.9429 - val_loss: 0.3266 - val_categorical_accuracy: 0.9041 - 400ms/epoch - 8ms/step
Epoch 488/1500
49/49 - 0s - loss: 0.1131 - categorical_accuracy: 0.9613 - val_loss: 0.3382 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 489/1500
49/49 - 0s - loss: 0.1719 - categorical_accuracy: 0.9446 - val_loss: 0.3487 - val_categorical_accuracy: 0.8931 - 390ms/epoch - 8ms/step
Epoch 490/1500
49/49 - 0s - loss: 0.1116 - categorical_accuracy: 0.9616 - val_loss: 0.3659 - val_categorical_accuracy: 0.8979 - 420ms/epoch - 9ms/step
Epoch 491/1500
49/49 - 0s - loss: 0.1106 - categorical_accuracy: 0.9622 - val_loss: 0.3991 - val_categorical_accuracy: 0.8893 - 430ms/epoch - 9ms/step
Epoch 492/1500
49/49 - 0s - loss: 0.3970 - categorical_accuracy: 0.8954 - val_loss: 0.3121 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 493/1500
49/49 - 0s - loss: 0.1127 - categorical_accuracy: 0.9622 - val_loss: 0.3462 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 494/1500
49/49 - 0s - loss: 0.1067 - categorical_accuracy: 0.9637 - val_loss: 0.3349 - val_categorical_accuracy: 0.9054 - 400ms/epoch - 8ms/step
Epoch 495/1500
49/49 - 0s - loss: 0.1142 - categorical_accuracy: 0.9602 - val_loss: 0.3877 - val_categorical_accuracy: 0.8960 - 400ms/epoch - 8ms/step
Epoch 496/1500
49/49 - 0s - loss: 0.1561 - categorical_accuracy: 0.9471 - val_loss: 0.3510 - val_categorical_accuracy: 0.9010 - 400ms/epoch - 8ms/step
Epoch 497/1500
49/49 - 0s - loss: 0.1069 - categorical_accuracy: 0.9638 - val_loss: 0.3516 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 498/1500
49/49 - 0s - loss: 0.1719 - categorical_accuracy: 0.9422 - val_loss: 0.3383 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 499/1500
49/49 - 0s - loss: 0.1051 - categorical_accuracy: 0.9639 - val_loss: 0.3711 - val_categorical_accuracy: 0.8984 - 400ms/epoch - 8ms/step
Epoch 500/1500
49/49 - 0s - loss: 0.1819 - categorical_accuracy: 0.9399 - val_loss: 0.3771 - val_categorical_accuracy: 0.8904 - 390ms/epoch - 8ms/step
Epoch 501/1500
49/49 - 0s - loss: 0.1112 - categorical_accuracy: 0.9622 - val_loss: 0.3395 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 502/1500
49/49 - 0s - loss: 0.1129 - categorical_accuracy: 0.9610 - val_loss: 0.3458 - val_categorical_accuracy: 0.9027 - 410ms/epoch - 8ms/step
Epoch 503/1500
49/49 - 0s - loss: 0.1152 - categorical_accuracy: 0.9595 - val_loss: 0.3563 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 504/1500
49/49 - 0s - loss: 0.1042 - categorical_accuracy: 0.9642 - val_loss: 0.3362 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 505/1500
49/49 - 0s - loss: 0.2094 - categorical_accuracy: 0.9347 - val_loss: 0.3549 - val_categorical_accuracy: 0.8939 - 400ms/epoch - 8ms/step
Epoch 506/1500
49/49 - 0s - loss: 0.1056 - categorical_accuracy: 0.9642 - val_loss: 0.3335 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 507/1500
49/49 - 0s - loss: 0.1040 - categorical_accuracy: 0.9642 - val_loss: 0.3442 - val_categorical_accuracy: 0.9051 - 420ms/epoch - 9ms/step
Epoch 508/1500
49/49 - 0s - loss: 0.1501 - categorical_accuracy: 0.9490 - val_loss: 0.3396 - val_categorical_accuracy: 0.9056 - 430ms/epoch - 9ms/step
Epoch 509/1500
49/49 - 0s - loss: 0.1090 - categorical_accuracy: 0.9621 - val_loss: 0.3615 - val_categorical_accuracy: 0.9013 - 390ms/epoch - 8ms/step
Epoch 510/1500
49/49 - 0s - loss: 0.1036 - categorical_accuracy: 0.9640 - val_loss: 0.3963 - val_categorical_accuracy: 0.8936 - 390ms/epoch - 8ms/step
Epoch 511/1500
49/49 - 0s - loss: 0.1593 - categorical_accuracy: 0.9466 - val_loss: 0.3298 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 512/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9639 - val_loss: 0.3304 - val_categorical_accuracy: 0.9141 - 400ms/epoch - 8ms/step
Epoch 513/1500
49/49 - 0s - loss: 0.0992 - categorical_accuracy: 0.9657 - val_loss: 0.3560 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 514/1500
49/49 - 0s - loss: 0.1736 - categorical_accuracy: 0.9477 - val_loss: 0.3766 - val_categorical_accuracy: 0.8974 - 400ms/epoch - 8ms/step
Epoch 515/1500
49/49 - 0s - loss: 0.1293 - categorical_accuracy: 0.9547 - val_loss: 0.3331 - val_categorical_accuracy: 0.9086 - 410ms/epoch - 8ms/step
Epoch 516/1500
49/49 - 0s - loss: 0.1019 - categorical_accuracy: 0.9645 - val_loss: 0.3767 - val_categorical_accuracy: 0.8995 - 390ms/epoch - 8ms/step
Epoch 517/1500
49/49 - 0s - loss: 0.1074 - categorical_accuracy: 0.9625 - val_loss: 0.3758 - val_categorical_accuracy: 0.8983 - 390ms/epoch - 8ms/step
Epoch 518/1500
49/49 - 0s - loss: 0.2059 - categorical_accuracy: 0.9362 - val_loss: 0.3554 - val_categorical_accuracy: 0.9017 - 390ms/epoch - 8ms/step
Epoch 519/1500
49/49 - 0s - loss: 0.1049 - categorical_accuracy: 0.9647 - val_loss: 0.4139 - val_categorical_accuracy: 0.8840 - 390ms/epoch - 8ms/step
Epoch 520/1500
49/49 - 0s - loss: 0.1669 - categorical_accuracy: 0.9444 - val_loss: 0.3266 - val_categorical_accuracy: 0.9101 - 410ms/epoch - 8ms/step
Epoch 521/1500
49/49 - 0s - loss: 0.1545 - categorical_accuracy: 0.9494 - val_loss: 0.3380 - val_categorical_accuracy: 0.9061 - 430ms/epoch - 9ms/step
Epoch 522/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9648 - val_loss: 0.3564 - val_categorical_accuracy: 0.9020 - 440ms/epoch - 9ms/step
Epoch 523/1500
49/49 - 0s - loss: 0.1132 - categorical_accuracy: 0.9598 - val_loss: 0.3471 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 524/1500
49/49 - 0s - loss: 0.1081 - categorical_accuracy: 0.9625 - val_loss: 0.4717 - val_categorical_accuracy: 0.8748 - 390ms/epoch - 8ms/step
Epoch 525/1500
49/49 - 0s - loss: 0.1604 - categorical_accuracy: 0.9491 - val_loss: 0.3556 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 526/1500
49/49 - 0s - loss: 0.1056 - categorical_accuracy: 0.9634 - val_loss: 0.3769 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 527/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9457 - val_loss: 0.3405 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 528/1500
49/49 - 0s - loss: 0.0995 - categorical_accuracy: 0.9661 - val_loss: 0.3824 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 529/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9647 - val_loss: 0.3560 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 530/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9658 - val_loss: 0.3470 - val_categorical_accuracy: 0.9074 - 420ms/epoch - 9ms/step
Epoch 531/1500
49/49 - 0s - loss: 0.1045 - categorical_accuracy: 0.9636 - val_loss: 0.3538 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 532/1500
49/49 - 0s - loss: 0.2403 - categorical_accuracy: 0.9321 - val_loss: 0.3402 - val_categorical_accuracy: 0.8992 - 390ms/epoch - 8ms/step
Epoch 533/1500
49/49 - 0s - loss: 0.1069 - categorical_accuracy: 0.9641 - val_loss: 0.3312 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 534/1500
49/49 - 0s - loss: 0.1018 - categorical_accuracy: 0.9646 - val_loss: 0.3564 - val_categorical_accuracy: 0.9047 - 400ms/epoch - 8ms/step
Epoch 535/1500
49/49 - 0s - loss: 0.1331 - categorical_accuracy: 0.9549 - val_loss: 0.5042 - val_categorical_accuracy: 0.8705 - 410ms/epoch - 8ms/step
Epoch 536/1500
49/49 - 0s - loss: 0.1410 - categorical_accuracy: 0.9529 - val_loss: 0.3523 - val_categorical_accuracy: 0.9063 - 430ms/epoch - 9ms/step
Epoch 537/1500
49/49 - 0s - loss: 0.1016 - categorical_accuracy: 0.9643 - val_loss: 0.3386 - val_categorical_accuracy: 0.9146 - 400ms/epoch - 8ms/step
Epoch 538/1500
49/49 - 0s - loss: 0.2062 - categorical_accuracy: 0.9359 - val_loss: 0.3312 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 539/1500
49/49 - 0s - loss: 0.1075 - categorical_accuracy: 0.9626 - val_loss: 0.3603 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 540/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9659 - val_loss: 0.3520 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 541/1500
49/49 - 0s - loss: 0.1057 - categorical_accuracy: 0.9630 - val_loss: 0.3800 - val_categorical_accuracy: 0.9026 - 390ms/epoch - 8ms/step
Epoch 542/1500
49/49 - 0s - loss: 0.1582 - categorical_accuracy: 0.9486 - val_loss: 0.4074 - val_categorical_accuracy: 0.8839 - 390ms/epoch - 8ms/step
Epoch 543/1500
49/49 - 0s - loss: 0.1110 - categorical_accuracy: 0.9614 - val_loss: 0.3544 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 544/1500
49/49 - 0s - loss: 0.1523 - categorical_accuracy: 0.9512 - val_loss: 0.3290 - val_categorical_accuracy: 0.9061 - 420ms/epoch - 9ms/step
Epoch 545/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9669 - val_loss: 0.3803 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 546/1500
49/49 - 0s - loss: 0.0979 - categorical_accuracy: 0.9661 - val_loss: 0.3614 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 547/1500
49/49 - 0s - loss: 0.1002 - categorical_accuracy: 0.9647 - val_loss: 0.3870 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 548/1500
49/49 - 0s - loss: 0.1748 - categorical_accuracy: 0.9445 - val_loss: 0.3610 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 549/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9672 - val_loss: 0.3299 - val_categorical_accuracy: 0.9146 - 410ms/epoch - 8ms/step
Epoch 550/1500
49/49 - 0s - loss: 0.0930 - categorical_accuracy: 0.9684 - val_loss: 0.4071 - val_categorical_accuracy: 0.8922 - 440ms/epoch - 9ms/step
Epoch 551/1500
49/49 - 0s - loss: 0.1238 - categorical_accuracy: 0.9568 - val_loss: 0.3427 - val_categorical_accuracy: 0.9116 - 400ms/epoch - 8ms/step
Epoch 552/1500
49/49 - 0s - loss: 0.0968 - categorical_accuracy: 0.9663 - val_loss: 0.4044 - val_categorical_accuracy: 0.8989 - 400ms/epoch - 8ms/step
Epoch 553/1500
49/49 - 0s - loss: 0.1609 - categorical_accuracy: 0.9470 - val_loss: 0.3443 - val_categorical_accuracy: 0.9107 - 390ms/epoch - 8ms/step
Epoch 554/1500
49/49 - 0s - loss: 0.1036 - categorical_accuracy: 0.9636 - val_loss: 0.3608 - val_categorical_accuracy: 0.9046 - 390ms/epoch - 8ms/step
Epoch 555/1500
49/49 - 0s - loss: 0.0960 - categorical_accuracy: 0.9670 - val_loss: 0.3660 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 556/1500
49/49 - 0s - loss: 0.3261 - categorical_accuracy: 0.9162 - val_loss: 0.4221 - val_categorical_accuracy: 0.8594 - 400ms/epoch - 8ms/step
Epoch 557/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9548 - val_loss: 0.3552 - val_categorical_accuracy: 0.9025 - 390ms/epoch - 8ms/step
Epoch 558/1500
49/49 - 0s - loss: 0.0987 - categorical_accuracy: 0.9665 - val_loss: 0.3687 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 559/1500
49/49 - 0s - loss: 0.0991 - categorical_accuracy: 0.9652 - val_loss: 0.3789 - val_categorical_accuracy: 0.8986 - 430ms/epoch - 9ms/step
Epoch 560/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9653 - val_loss: 0.3713 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 561/1500
49/49 - 0s - loss: 0.0954 - categorical_accuracy: 0.9667 - val_loss: 0.3805 - val_categorical_accuracy: 0.9016 - 390ms/epoch - 8ms/step
Epoch 562/1500
49/49 - 0s - loss: 0.1148 - categorical_accuracy: 0.9602 - val_loss: 0.6012 - val_categorical_accuracy: 0.8385 - 390ms/epoch - 8ms/step
Epoch 563/1500
49/49 - 0s - loss: 0.1552 - categorical_accuracy: 0.9519 - val_loss: 0.3759 - val_categorical_accuracy: 0.8994 - 390ms/epoch - 8ms/step
Epoch 564/1500
49/49 - 0s - loss: 0.1095 - categorical_accuracy: 0.9613 - val_loss: 0.4360 - val_categorical_accuracy: 0.8868 - 390ms/epoch - 8ms/step
Epoch 565/1500
49/49 - 0s - loss: 0.1787 - categorical_accuracy: 0.9447 - val_loss: 0.3427 - val_categorical_accuracy: 0.9114 - 410ms/epoch - 8ms/step
Epoch 566/1500
49/49 - 0s - loss: 0.0977 - categorical_accuracy: 0.9663 - val_loss: 0.3828 - val_categorical_accuracy: 0.9014 - 420ms/epoch - 9ms/step
Epoch 567/1500
49/49 - 0s - loss: 0.1824 - categorical_accuracy: 0.9414 - val_loss: 0.3406 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 568/1500
49/49 - 0s - loss: 0.0950 - categorical_accuracy: 0.9677 - val_loss: 0.3946 - val_categorical_accuracy: 0.8974 - 390ms/epoch - 8ms/step
Epoch 569/1500
49/49 - 0s - loss: 0.1319 - categorical_accuracy: 0.9544 - val_loss: 0.3668 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 570/1500
49/49 - 0s - loss: 0.0976 - categorical_accuracy: 0.9661 - val_loss: 0.3476 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 571/1500
49/49 - 0s - loss: 0.0996 - categorical_accuracy: 0.9652 - val_loss: 0.4029 - val_categorical_accuracy: 0.8970 - 410ms/epoch - 8ms/step
Epoch 572/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9501 - val_loss: 0.3423 - val_categorical_accuracy: 0.9105 - 430ms/epoch - 9ms/step
Epoch 573/1500
49/49 - 0s - loss: 0.1513 - categorical_accuracy: 0.9539 - val_loss: 0.4143 - val_categorical_accuracy: 0.8813 - 430ms/epoch - 9ms/step
Epoch 574/1500
49/49 - 0s - loss: 0.1020 - categorical_accuracy: 0.9650 - val_loss: 0.3497 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 575/1500
49/49 - 0s - loss: 0.0904 - categorical_accuracy: 0.9688 - val_loss: 0.3549 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 576/1500
49/49 - 0s - loss: 0.1634 - categorical_accuracy: 0.9473 - val_loss: 0.3683 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 577/1500
49/49 - 0s - loss: 0.0939 - categorical_accuracy: 0.9679 - val_loss: 0.3388 - val_categorical_accuracy: 0.9139 - 390ms/epoch - 8ms/step
Epoch 578/1500
49/49 - 0s - loss: 0.0973 - categorical_accuracy: 0.9663 - val_loss: 0.3427 - val_categorical_accuracy: 0.9144 - 390ms/epoch - 8ms/step
Epoch 579/1500
49/49 - 0s - loss: 0.1038 - categorical_accuracy: 0.9642 - val_loss: 0.3786 - val_categorical_accuracy: 0.9018 - 390ms/epoch - 8ms/step
Epoch 580/1500
49/49 - 0s - loss: 0.0953 - categorical_accuracy: 0.9668 - val_loss: 0.3612 - val_categorical_accuracy: 0.9109 - 410ms/epoch - 8ms/step
Epoch 581/1500
49/49 - 0s - loss: 0.3386 - categorical_accuracy: 0.9104 - val_loss: 0.4048 - val_categorical_accuracy: 0.8654 - 420ms/epoch - 9ms/step
Epoch 582/1500
49/49 - 0s - loss: 0.1309 - categorical_accuracy: 0.9544 - val_loss: 0.3471 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 583/1500
49/49 - 0s - loss: 0.0946 - categorical_accuracy: 0.9678 - val_loss: 0.3693 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 584/1500
49/49 - 0s - loss: 0.0983 - categorical_accuracy: 0.9656 - val_loss: 0.3433 - val_categorical_accuracy: 0.9134 - 394ms/epoch - 8ms/step
Epoch 585/1500
49/49 - 0s - loss: 0.0942 - categorical_accuracy: 0.9670 - val_loss: 0.3973 - val_categorical_accuracy: 0.8976 - 400ms/epoch - 8ms/step
Epoch 586/1500
49/49 - 0s - loss: 0.1038 - categorical_accuracy: 0.9640 - val_loss: 0.6118 - val_categorical_accuracy: 0.8642 - 410ms/epoch - 8ms/step
Epoch 587/1500
49/49 - 0s - loss: 0.1829 - categorical_accuracy: 0.9461 - val_loss: 0.3552 - val_categorical_accuracy: 0.9106 - 430ms/epoch - 9ms/step
Epoch 588/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9688 - val_loss: 0.3613 - val_categorical_accuracy: 0.9067 - 400ms/epoch - 8ms/step
Epoch 589/1500
49/49 - 0s - loss: 0.1567 - categorical_accuracy: 0.9485 - val_loss: 0.3614 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 590/1500
49/49 - 0s - loss: 0.0996 - categorical_accuracy: 0.9652 - val_loss: 0.4026 - val_categorical_accuracy: 0.8957 - 390ms/epoch - 8ms/step
Epoch 591/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9658 - val_loss: 0.3622 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 592/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9669 - val_loss: 0.4234 - val_categorical_accuracy: 0.8975 - 400ms/epoch - 8ms/step
Epoch 593/1500
49/49 - 0s - loss: 0.2314 - categorical_accuracy: 0.9327 - val_loss: 0.3754 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 594/1500
49/49 - 0s - loss: 0.0949 - categorical_accuracy: 0.9677 - val_loss: 0.3730 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 595/1500
49/49 - 0s - loss: 0.0923 - categorical_accuracy: 0.9679 - val_loss: 0.3451 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 596/1500
49/49 - 0s - loss: 0.0945 - categorical_accuracy: 0.9669 - val_loss: 0.3742 - val_categorical_accuracy: 0.9043 - 420ms/epoch - 9ms/step
Epoch 597/1500
49/49 - 0s - loss: 0.1641 - categorical_accuracy: 0.9479 - val_loss: 0.3733 - val_categorical_accuracy: 0.8931 - 400ms/epoch - 8ms/step
Epoch 598/1500
49/49 - 0s - loss: 0.0984 - categorical_accuracy: 0.9658 - val_loss: 0.3777 - val_categorical_accuracy: 0.9025 - 400ms/epoch - 8ms/step
Epoch 599/1500
49/49 - 0s - loss: 0.0895 - categorical_accuracy: 0.9691 - val_loss: 0.3689 - val_categorical_accuracy: 0.9078 - 390ms/epoch - 8ms/step
Epoch 600/1500
49/49 - 0s - loss: 0.0959 - categorical_accuracy: 0.9669 - val_loss: 0.4543 - val_categorical_accuracy: 0.8848 - 390ms/epoch - 8ms/step
Epoch 601/1500
49/49 - 0s - loss: 0.0957 - categorical_accuracy: 0.9667 - val_loss: 0.3774 - val_categorical_accuracy: 0.9042 - 400ms/epoch - 8ms/step
Epoch 602/1500
49/49 - 0s - loss: 0.1570 - categorical_accuracy: 0.9513 - val_loss: 0.3553 - val_categorical_accuracy: 0.9046 - 420ms/epoch - 9ms/step
Epoch 603/1500
49/49 - 0s - loss: 0.0958 - categorical_accuracy: 0.9672 - val_loss: 0.3539 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 604/1500
49/49 - 0s - loss: 0.0942 - categorical_accuracy: 0.9672 - val_loss: 0.5685 - val_categorical_accuracy: 0.8616 - 390ms/epoch - 8ms/step
Epoch 605/1500
49/49 - 0s - loss: 0.1695 - categorical_accuracy: 0.9474 - val_loss: 0.3582 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 606/1500
49/49 - 0s - loss: 0.1006 - categorical_accuracy: 0.9652 - val_loss: 0.3556 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 607/1500
49/49 - 0s - loss: 0.0943 - categorical_accuracy: 0.9671 - val_loss: 0.4047 - val_categorical_accuracy: 0.8995 - 400ms/epoch - 8ms/step
Epoch 608/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9686 - val_loss: 0.3620 - val_categorical_accuracy: 0.9102 - 410ms/epoch - 8ms/step
Epoch 609/1500
49/49 - 0s - loss: 0.1487 - categorical_accuracy: 0.9518 - val_loss: 0.3468 - val_categorical_accuracy: 0.9119 - 420ms/epoch - 9ms/step
Epoch 610/1500
49/49 - 0s - loss: 0.0874 - categorical_accuracy: 0.9697 - val_loss: 0.3690 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 611/1500
49/49 - 0s - loss: 0.1665 - categorical_accuracy: 0.9493 - val_loss: 0.3413 - val_categorical_accuracy: 0.9161 - 400ms/epoch - 8ms/step
Epoch 612/1500
49/49 - 0s - loss: 0.0944 - categorical_accuracy: 0.9675 - val_loss: 0.3631 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 613/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9692 - val_loss: 0.3844 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 614/1500
49/49 - 0s - loss: 0.0881 - categorical_accuracy: 0.9692 - val_loss: 0.4248 - val_categorical_accuracy: 0.8903 - 390ms/epoch - 8ms/step
Epoch 615/1500
49/49 - 0s - loss: 0.1841 - categorical_accuracy: 0.9451 - val_loss: 0.3586 - val_categorical_accuracy: 0.9103 - 410ms/epoch - 8ms/step
Epoch 616/1500
49/49 - 0s - loss: 0.0886 - categorical_accuracy: 0.9691 - val_loss: 0.3525 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 617/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9700 - val_loss: 0.3705 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 618/1500
49/49 - 0s - loss: 0.0882 - categorical_accuracy: 0.9693 - val_loss: 0.3812 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 619/1500
49/49 - 0s - loss: 0.3731 - categorical_accuracy: 0.9018 - val_loss: 0.3639 - val_categorical_accuracy: 0.8913 - 390ms/epoch - 8ms/step
Epoch 620/1500
49/49 - 0s - loss: 0.1137 - categorical_accuracy: 0.9611 - val_loss: 0.3468 - val_categorical_accuracy: 0.9103 - 410ms/epoch - 8ms/step
Epoch 621/1500
49/49 - 0s - loss: 0.0896 - categorical_accuracy: 0.9694 - val_loss: 0.3636 - val_categorical_accuracy: 0.9090 - 430ms/epoch - 9ms/step
Epoch 622/1500
49/49 - 0s - loss: 0.0888 - categorical_accuracy: 0.9694 - val_loss: 0.3499 - val_categorical_accuracy: 0.9146 - 420ms/epoch - 9ms/step
Epoch 623/1500
49/49 - 0s - loss: 0.1607 - categorical_accuracy: 0.9473 - val_loss: 0.3398 - val_categorical_accuracy: 0.9149 - 390ms/epoch - 8ms/step
Epoch 624/1500
49/49 - 0s - loss: 0.0905 - categorical_accuracy: 0.9687 - val_loss: 0.3487 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 625/1500
49/49 - 0s - loss: 0.0886 - categorical_accuracy: 0.9685 - val_loss: 0.3988 - val_categorical_accuracy: 0.9023 - 390ms/epoch - 8ms/step
Epoch 626/1500
49/49 - 0s - loss: 0.1549 - categorical_accuracy: 0.9531 - val_loss: 0.3399 - val_categorical_accuracy: 0.9160 - 390ms/epoch - 8ms/step
Epoch 627/1500
49/49 - 0s - loss: 0.0901 - categorical_accuracy: 0.9689 - val_loss: 0.3513 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 628/1500
49/49 - 0s - loss: 0.0938 - categorical_accuracy: 0.9676 - val_loss: 0.3612 - val_categorical_accuracy: 0.9097 - 410ms/epoch - 8ms/step
Epoch 629/1500
49/49 - 0s - loss: 0.0935 - categorical_accuracy: 0.9671 - val_loss: 0.3958 - val_categorical_accuracy: 0.9010 - 430ms/epoch - 9ms/step
Epoch 630/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9680 - val_loss: 0.4061 - val_categorical_accuracy: 0.8998 - 390ms/epoch - 8ms/step
Epoch 631/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9705 - val_loss: 0.3775 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 632/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9707 - val_loss: 0.3851 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 633/1500
49/49 - 0s - loss: 0.2588 - categorical_accuracy: 0.9312 - val_loss: 0.3605 - val_categorical_accuracy: 0.8960 - 390ms/epoch - 8ms/step
Epoch 634/1500
49/49 - 0s - loss: 0.0982 - categorical_accuracy: 0.9672 - val_loss: 0.3470 - val_categorical_accuracy: 0.9115 - 404ms/epoch - 8ms/step
Epoch 635/1500
49/49 - 0s - loss: 0.0964 - categorical_accuracy: 0.9667 - val_loss: 0.3626 - val_categorical_accuracy: 0.9104 - 420ms/epoch - 9ms/step
Epoch 636/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9692 - val_loss: 0.3777 - val_categorical_accuracy: 0.9071 - 430ms/epoch - 9ms/step
Epoch 637/1500
49/49 - 0s - loss: 0.1524 - categorical_accuracy: 0.9497 - val_loss: 0.3521 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 638/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9707 - val_loss: 0.3751 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 639/1500
49/49 - 0s - loss: 0.0889 - categorical_accuracy: 0.9691 - val_loss: 0.3598 - val_categorical_accuracy: 0.9154 - 395ms/epoch - 8ms/step
Epoch 640/1500
49/49 - 0s - loss: 0.0903 - categorical_accuracy: 0.9689 - val_loss: 0.3955 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 641/1500
49/49 - 0s - loss: 0.0944 - categorical_accuracy: 0.9665 - val_loss: 0.4440 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step
Epoch 642/1500
49/49 - 0s - loss: 0.3880 - categorical_accuracy: 0.8991 - val_loss: 0.3440 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 643/1500
49/49 - 0s - loss: 0.0929 - categorical_accuracy: 0.9682 - val_loss: 0.3494 - val_categorical_accuracy: 0.9123 - 410ms/epoch - 8ms/step
Epoch 644/1500
49/49 - 0s - loss: 0.0885 - categorical_accuracy: 0.9697 - val_loss: 0.3765 - val_categorical_accuracy: 0.9094 - 430ms/epoch - 9ms/step
Epoch 645/1500
49/49 - 0s - loss: 0.0919 - categorical_accuracy: 0.9679 - val_loss: 0.3896 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 646/1500
49/49 - 0s - loss: 0.0914 - categorical_accuracy: 0.9681 - val_loss: 0.3668 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 647/1500
49/49 - 0s - loss: 0.0841 - categorical_accuracy: 0.9709 - val_loss: 0.3920 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 648/1500
49/49 - 0s - loss: 0.1894 - categorical_accuracy: 0.9443 - val_loss: 0.3605 - val_categorical_accuracy: 0.9071 - 400ms/epoch - 8ms/step
Epoch 649/1500
49/49 - 0s - loss: 0.0850 - categorical_accuracy: 0.9708 - val_loss: 0.3608 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 650/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9710 - val_loss: 0.3994 - val_categorical_accuracy: 0.9056 - 410ms/epoch - 8ms/step
Epoch 651/1500
49/49 - 0s - loss: 0.0917 - categorical_accuracy: 0.9674 - val_loss: 0.3677 - val_categorical_accuracy: 0.9137 - 390ms/epoch - 8ms/step
Epoch 652/1500
49/49 - 0s - loss: 0.0837 - categorical_accuracy: 0.9712 - val_loss: 0.4403 - val_categorical_accuracy: 0.9009 - 400ms/epoch - 8ms/step
Epoch 653/1500
49/49 - 0s - loss: 0.2213 - categorical_accuracy: 0.9422 - val_loss: 0.3710 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 654/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9695 - val_loss: 0.3689 - val_categorical_accuracy: 0.9102 - 395ms/epoch - 8ms/step
Epoch 655/1500
49/49 - 0s - loss: 0.0809 - categorical_accuracy: 0.9721 - val_loss: 0.3789 - val_categorical_accuracy: 0.9091 - 410ms/epoch - 8ms/step
Epoch 656/1500
49/49 - 0s - loss: 0.0838 - categorical_accuracy: 0.9708 - val_loss: 0.4110 - val_categorical_accuracy: 0.9041 - 420ms/epoch - 9ms/step
Epoch 657/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9694 - val_loss: 0.3877 - val_categorical_accuracy: 0.9074 - 400ms/epoch - 8ms/step
Epoch 658/1500
49/49 - 0s - loss: 0.1524 - categorical_accuracy: 0.9532 - val_loss: 0.3758 - val_categorical_accuracy: 0.9063 - 400ms/epoch - 8ms/step
Epoch 659/1500
49/49 - 0s - loss: 0.0851 - categorical_accuracy: 0.9700 - val_loss: 0.3882 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 660/1500
49/49 - 0s - loss: 0.1452 - categorical_accuracy: 0.9517 - val_loss: 0.4020 - val_categorical_accuracy: 0.8990 - 400ms/epoch - 8ms/step
Epoch 661/1500
49/49 - 0s - loss: 0.0862 - categorical_accuracy: 0.9696 - val_loss: 0.3641 - val_categorical_accuracy: 0.9152 - 410ms/epoch - 8ms/step
Epoch 662/1500
49/49 - 0s - loss: 0.0828 - categorical_accuracy: 0.9709 - val_loss: 0.3961 - val_categorical_accuracy: 0.9055 - 410ms/epoch - 8ms/step
Epoch 663/1500
49/49 - 0s - loss: 0.0898 - categorical_accuracy: 0.9679 - val_loss: 0.4654 - val_categorical_accuracy: 0.8876 - 390ms/epoch - 8ms/step
Epoch 664/1500
49/49 - 0s - loss: 0.2066 - categorical_accuracy: 0.9414 - val_loss: 0.3606 - val_categorical_accuracy: 0.9079 - 400ms/epoch - 8ms/step
Epoch 665/1500
49/49 - 0s - loss: 0.0849 - categorical_accuracy: 0.9705 - val_loss: 0.3784 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 666/1500
49/49 - 0s - loss: 0.0871 - categorical_accuracy: 0.9694 - val_loss: 0.4516 - val_categorical_accuracy: 0.8865 - 390ms/epoch - 8ms/step
Epoch 667/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9513 - val_loss: 0.3558 - val_categorical_accuracy: 0.9153 - 390ms/epoch - 8ms/step
Epoch 668/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9714 - val_loss: 0.4041 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 669/1500
49/49 - 0s - loss: 0.0932 - categorical_accuracy: 0.9674 - val_loss: 0.3891 - val_categorical_accuracy: 0.9063 - 424ms/epoch - 9ms/step
Epoch 670/1500
49/49 - 0s - loss: 0.0894 - categorical_accuracy: 0.9684 - val_loss: 0.3733 - val_categorical_accuracy: 0.9129 - 400ms/epoch - 8ms/step
Epoch 671/1500
49/49 - 0s - loss: 0.1151 - categorical_accuracy: 0.9622 - val_loss: 0.9910 - val_categorical_accuracy: 0.8198 - 390ms/epoch - 8ms/step
Epoch 672/1500
49/49 - 0s - loss: 0.1492 - categorical_accuracy: 0.9534 - val_loss: 0.3719 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 673/1500
49/49 - 0s - loss: 0.1407 - categorical_accuracy: 0.9559 - val_loss: 0.3695 - val_categorical_accuracy: 0.9022 - 390ms/epoch - 8ms/step
Epoch 674/1500
49/49 - 0s - loss: 0.0869 - categorical_accuracy: 0.9704 - val_loss: 0.3562 - val_categorical_accuracy: 0.9138 - 390ms/epoch - 8ms/step
Epoch 675/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9722 - val_loss: 0.4221 - val_categorical_accuracy: 0.9048 - 410ms/epoch - 8ms/step
Epoch 676/1500
49/49 - 0s - loss: 0.1044 - categorical_accuracy: 0.9641 - val_loss: 1.5043 - val_categorical_accuracy: 0.8182 - 420ms/epoch - 9ms/step
Epoch 677/1500
49/49 - 0s - loss: 0.1317 - categorical_accuracy: 0.9588 - val_loss: 0.3757 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 678/1500
49/49 - 0s - loss: 0.0860 - categorical_accuracy: 0.9702 - val_loss: 0.3538 - val_categorical_accuracy: 0.9160 - 400ms/epoch - 8ms/step
Epoch 679/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9710 - val_loss: 0.3958 - val_categorical_accuracy: 0.9028 - 394ms/epoch - 8ms/step
Epoch 680/1500
49/49 - 0s - loss: 0.0940 - categorical_accuracy: 0.9672 - val_loss: 0.3834 - val_categorical_accuracy: 0.9106 - 396ms/epoch - 8ms/step
Epoch 681/1500
49/49 - 0s - loss: 0.0840 - categorical_accuracy: 0.9703 - val_loss: 0.4132 - val_categorical_accuracy: 0.9006 - 420ms/epoch - 9ms/step
Epoch 682/1500
49/49 - 0s - loss: 0.0852 - categorical_accuracy: 0.9693 - val_loss: 0.3975 - val_categorical_accuracy: 0.9083 - 430ms/epoch - 9ms/step
Epoch 683/1500
49/49 - 0s - loss: 0.1291 - categorical_accuracy: 0.9600 - val_loss: 1.0282 - val_categorical_accuracy: 0.7414 - 388ms/epoch - 8ms/step
Epoch 684/1500
49/49 - 0s - loss: 0.1276 - categorical_accuracy: 0.9571 - val_loss: 0.3685 - val_categorical_accuracy: 0.9092 - 385ms/epoch - 8ms/step
Epoch 685/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9710 - val_loss: 0.3903 - val_categorical_accuracy: 0.9070 - 395ms/epoch - 8ms/step
Epoch 686/1500
49/49 - 0s - loss: 0.0815 - categorical_accuracy: 0.9711 - val_loss: 0.3892 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 687/1500
49/49 - 0s - loss: 0.1667 - categorical_accuracy: 0.9490 - val_loss: 0.3502 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 688/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9701 - val_loss: 0.3694 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 689/1500
49/49 - 0s - loss: 0.0812 - categorical_accuracy: 0.9718 - val_loss: 0.4031 - val_categorical_accuracy: 0.9041 - 420ms/epoch - 9ms/step
Epoch 690/1500
49/49 - 1s - loss: 0.0839 - categorical_accuracy: 0.9703 - val_loss: 0.3714 - val_categorical_accuracy: 0.9160 - 600ms/epoch - 12ms/step
Epoch 691/1500
49/49 - 0s - loss: 0.0915 - categorical_accuracy: 0.9673 - val_loss: 0.4261 - val_categorical_accuracy: 0.9036 - 430ms/epoch - 9ms/step
Epoch 692/1500
49/49 - 0s - loss: 0.0891 - categorical_accuracy: 0.9680 - val_loss: 0.3848 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 693/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9717 - val_loss: 0.4656 - val_categorical_accuracy: 0.8949 - 390ms/epoch - 8ms/step
Epoch 694/1500
49/49 - 0s - loss: 0.1760 - categorical_accuracy: 0.9448 - val_loss: 0.4011 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 695/1500
49/49 - 0s - loss: 0.0861 - categorical_accuracy: 0.9697 - val_loss: 0.3889 - val_categorical_accuracy: 0.9073 - 390ms/epoch - 8ms/step
Epoch 696/1500
49/49 - 0s - loss: 0.0832 - categorical_accuracy: 0.9714 - val_loss: 0.3894 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 697/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9710 - val_loss: 0.4296 - val_categorical_accuracy: 0.9043 - 410ms/epoch - 8ms/step
Epoch 698/1500
49/49 - 0s - loss: 0.0952 - categorical_accuracy: 0.9666 - val_loss: 0.4802 - val_categorical_accuracy: 0.8829 - 434ms/epoch - 9ms/step
Epoch 699/1500
49/49 - 0s - loss: 0.1535 - categorical_accuracy: 0.9537 - val_loss: 0.3758 - val_categorical_accuracy: 0.9133 - 395ms/epoch - 8ms/step
Epoch 700/1500
49/49 - 0s - loss: 0.0814 - categorical_accuracy: 0.9711 - val_loss: 0.4249 - val_categorical_accuracy: 0.8961 - 390ms/epoch - 8ms/step
Epoch 701/1500
49/49 - 0s - loss: 0.1626 - categorical_accuracy: 0.9484 - val_loss: 0.3830 - val_categorical_accuracy: 0.9070 - 400ms/epoch - 8ms/step
Epoch 702/1500
49/49 - 0s - loss: 0.0803 - categorical_accuracy: 0.9718 - val_loss: 0.3819 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 703/1500
49/49 - 0s - loss: 0.1308 - categorical_accuracy: 0.9575 - val_loss: 0.3851 - val_categorical_accuracy: 0.9038 - 404ms/epoch - 8ms/step
Epoch 704/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9720 - val_loss: 0.3685 - val_categorical_accuracy: 0.9147 - 396ms/epoch - 8ms/step
Epoch 705/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9725 - val_loss: 0.3842 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 706/1500
49/49 - 0s - loss: 0.0825 - categorical_accuracy: 0.9705 - val_loss: 0.4026 - val_categorical_accuracy: 0.9040 - 400ms/epoch - 8ms/step
Epoch 707/1500
49/49 - 0s - loss: 0.0813 - categorical_accuracy: 0.9719 - val_loss: 0.3867 - val_categorical_accuracy: 0.9087 - 400ms/epoch - 8ms/step
Epoch 708/1500
49/49 - 0s - loss: 0.1425 - categorical_accuracy: 0.9545 - val_loss: 0.3894 - val_categorical_accuracy: 0.9048 - 404ms/epoch - 8ms/step
Epoch 709/1500
49/49 - 0s - loss: 0.1644 - categorical_accuracy: 0.9518 - val_loss: 0.3516 - val_categorical_accuracy: 0.9144 - 396ms/epoch - 8ms/step
Epoch 710/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9730 - val_loss: 0.3742 - val_categorical_accuracy: 0.9119 - 390ms/epoch - 8ms/step
Epoch 711/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9729 - val_loss: 0.3848 - val_categorical_accuracy: 0.9119 - 400ms/epoch - 8ms/step
Epoch 712/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9724 - val_loss: 0.3849 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 713/1500
49/49 - 0s - loss: 0.1001 - categorical_accuracy: 0.9655 - val_loss: 0.4049 - val_categorical_accuracy: 0.9071 - 394ms/epoch - 8ms/step
Epoch 714/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9719 - val_loss: 0.4238 - val_categorical_accuracy: 0.9036 - 416ms/epoch - 8ms/step
Epoch 715/1500
49/49 - 0s - loss: 0.1758 - categorical_accuracy: 0.9482 - val_loss: 0.3674 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 716/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9733 - val_loss: 0.3788 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 717/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9734 - val_loss: 0.4110 - val_categorical_accuracy: 0.9046 - 400ms/epoch - 8ms/step
Epoch 718/1500
49/49 - 0s - loss: 0.0913 - categorical_accuracy: 0.9674 - val_loss: 0.3811 - val_categorical_accuracy: 0.9154 - 394ms/epoch - 8ms/step
Epoch 719/1500
49/49 - 0s - loss: 0.0818 - categorical_accuracy: 0.9709 - val_loss: 0.4611 - val_categorical_accuracy: 0.8946 - 416ms/epoch - 8ms/step
Epoch 720/1500
49/49 - 0s - loss: 0.0922 - categorical_accuracy: 0.9678 - val_loss: 0.3892 - val_categorical_accuracy: 0.9133 - 400ms/epoch - 8ms/step
Epoch 721/1500
49/49 - 0s - loss: 0.0785 - categorical_accuracy: 0.9724 - val_loss: 0.3974 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 722/1500
49/49 - 0s - loss: 0.1951 - categorical_accuracy: 0.9451 - val_loss: 0.3728 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 723/1500
49/49 - 0s - loss: 0.0799 - categorical_accuracy: 0.9723 - val_loss: 0.3922 - val_categorical_accuracy: 0.9091 - 394ms/epoch - 8ms/step
Epoch 724/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9731 - val_loss: 0.3906 - val_categorical_accuracy: 0.9128 - 386ms/epoch - 8ms/step
Epoch 725/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9728 - val_loss: 0.4128 - val_categorical_accuracy: 0.9073 - 420ms/epoch - 9ms/step
Epoch 726/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9719 - val_loss: 0.3932 - val_categorical_accuracy: 0.9103 - 430ms/epoch - 9ms/step
Epoch 727/1500
49/49 - 0s - loss: 0.0908 - categorical_accuracy: 0.9680 - val_loss: 0.3844 - val_categorical_accuracy: 0.9155 - 390ms/epoch - 8ms/step
Epoch 728/1500
49/49 - 0s - loss: 0.1507 - categorical_accuracy: 0.9520 - val_loss: 0.4000 - val_categorical_accuracy: 0.9037 - 394ms/epoch - 8ms/step
Epoch 729/1500
49/49 - 0s - loss: 0.1727 - categorical_accuracy: 0.9486 - val_loss: 0.4370 - val_categorical_accuracy: 0.8787 - 396ms/epoch - 8ms/step
Epoch 730/1500
49/49 - 0s - loss: 0.0873 - categorical_accuracy: 0.9699 - val_loss: 0.3720 - val_categorical_accuracy: 0.9140 - 390ms/epoch - 8ms/step
Epoch 731/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9731 - val_loss: 0.3965 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 732/1500
49/49 - 0s - loss: 0.0758 - categorical_accuracy: 0.9739 - val_loss: 0.3781 - val_categorical_accuracy: 0.9152 - 410ms/epoch - 8ms/step
Epoch 733/1500
49/49 - 0s - loss: 0.0805 - categorical_accuracy: 0.9715 - val_loss: 0.3966 - val_categorical_accuracy: 0.9079 - 424ms/epoch - 9ms/step
Epoch 734/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9725 - val_loss: 0.4149 - val_categorical_accuracy: 0.9081 - 396ms/epoch - 8ms/step
Epoch 735/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9701 - val_loss: 0.4109 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 736/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9720 - val_loss: 0.4125 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 737/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9731 - val_loss: 0.4408 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 738/1500
49/49 - 0s - loss: 0.1822 - categorical_accuracy: 0.9475 - val_loss: 0.3983 - val_categorical_accuracy: 0.9039 - 394ms/epoch - 8ms/step
Epoch 739/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9723 - val_loss: 0.4060 - val_categorical_accuracy: 0.9069 - 416ms/epoch - 8ms/step
Epoch 740/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9722 - val_loss: 0.3847 - val_categorical_accuracy: 0.9134 - 420ms/epoch - 9ms/step
Epoch 741/1500
49/49 - 0s - loss: 0.0794 - categorical_accuracy: 0.9715 - val_loss: 0.4019 - val_categorical_accuracy: 0.9084 - 400ms/epoch - 8ms/step
Epoch 742/1500
49/49 - 0s - loss: 0.0843 - categorical_accuracy: 0.9699 - val_loss: 0.3909 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 743/1500
49/49 - 0s - loss: 0.1551 - categorical_accuracy: 0.9548 - val_loss: 0.3768 - val_categorical_accuracy: 0.9038 - 394ms/epoch - 8ms/step
Epoch 744/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9716 - val_loss: 0.3992 - val_categorical_accuracy: 0.9102 - 396ms/epoch - 8ms/step
Epoch 745/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9739 - val_loss: 0.3826 - val_categorical_accuracy: 0.9153 - 400ms/epoch - 8ms/step
Epoch 746/1500
49/49 - 0s - loss: 0.0777 - categorical_accuracy: 0.9722 - val_loss: 0.3983 - val_categorical_accuracy: 0.9115 - 390ms/epoch - 8ms/step
Epoch 747/1500
49/49 - 0s - loss: 0.0810 - categorical_accuracy: 0.9711 - val_loss: 0.4171 - val_categorical_accuracy: 0.9076 - 410ms/epoch - 8ms/step
Epoch 748/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9730 - val_loss: 0.4162 - val_categorical_accuracy: 0.9064 - 394ms/epoch - 8ms/step
Epoch 749/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9735 - val_loss: 0.4187 - val_categorical_accuracy: 0.9068 - 396ms/epoch - 8ms/step
Epoch 750/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9523 - val_loss: 0.3919 - val_categorical_accuracy: 0.9083 - 400ms/epoch - 8ms/step
Epoch 751/1500
49/49 - 0s - loss: 0.0768 - categorical_accuracy: 0.9730 - val_loss: 0.4282 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 752/1500
49/49 - 0s - loss: 0.0764 - categorical_accuracy: 0.9732 - val_loss: 0.4399 - val_categorical_accuracy: 0.8994 - 410ms/epoch - 8ms/step
Epoch 753/1500
49/49 - 0s - loss: 0.1357 - categorical_accuracy: 0.9565 - val_loss: 0.3855 - val_categorical_accuracy: 0.9110 - 434ms/epoch - 9ms/step
Epoch 754/1500
49/49 - 0s - loss: 0.0774 - categorical_accuracy: 0.9726 - val_loss: 0.3913 - val_categorical_accuracy: 0.9129 - 396ms/epoch - 8ms/step
Epoch 755/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9723 - val_loss: 0.4426 - val_categorical_accuracy: 0.9006 - 390ms/epoch - 8ms/step
Epoch 756/1500
49/49 - 0s - loss: 0.0926 - categorical_accuracy: 0.9673 - val_loss: 0.4454 - val_categorical_accuracy: 0.8981 - 400ms/epoch - 8ms/step
Epoch 757/1500
49/49 - 0s - loss: 0.0833 - categorical_accuracy: 0.9697 - val_loss: 0.4431 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 758/1500
49/49 - 0s - loss: 0.0801 - categorical_accuracy: 0.9715 - val_loss: 0.4264 - val_categorical_accuracy: 0.9033 - 394ms/epoch - 8ms/step
Epoch 759/1500
49/49 - 0s - loss: 0.0782 - categorical_accuracy: 0.9723 - val_loss: 0.4160 - val_categorical_accuracy: 0.9087 - 396ms/epoch - 8ms/step
Epoch 760/1500
49/49 - 0s - loss: 0.0816 - categorical_accuracy: 0.9703 - val_loss: 0.4025 - val_categorical_accuracy: 0.9135 - 420ms/epoch - 9ms/step
Epoch 761/1500
49/49 - 0s - loss: 0.0894 - categorical_accuracy: 0.9677 - val_loss: 0.4129 - val_categorical_accuracy: 0.9080 - 400ms/epoch - 8ms/step
Epoch 762/1500
49/49 - 0s - loss: 0.0769 - categorical_accuracy: 0.9728 - val_loss: 0.4304 - val_categorical_accuracy: 0.9063 - 394ms/epoch - 8ms/step
Epoch 763/1500
49/49 - 0s - loss: 0.2478 - categorical_accuracy: 0.9328 - val_loss: 0.3680 - val_categorical_accuracy: 0.9078 - 394ms/epoch - 8ms/step
Epoch 764/1500
49/49 - 0s - loss: 0.0787 - categorical_accuracy: 0.9725 - val_loss: 0.4019 - val_categorical_accuracy: 0.9065 - 396ms/epoch - 8ms/step
Epoch 765/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9736 - val_loss: 0.3943 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 766/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9724 - val_loss: 0.4199 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 767/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9744 - val_loss: 0.4038 - val_categorical_accuracy: 0.9102 - 410ms/epoch - 8ms/step
Epoch 768/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9714 - val_loss: 0.4403 - val_categorical_accuracy: 0.9018 - 394ms/epoch - 8ms/step
Epoch 769/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9513 - val_loss: 0.4046 - val_categorical_accuracy: 0.9075 - 396ms/epoch - 8ms/step
Epoch 770/1500
49/49 - 0s - loss: 0.0749 - categorical_accuracy: 0.9735 - val_loss: 0.3950 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 771/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9730 - val_loss: 0.4088 - val_categorical_accuracy: 0.9051 - 390ms/epoch - 8ms/step
Epoch 772/1500
49/49 - 0s - loss: 0.0786 - categorical_accuracy: 0.9715 - val_loss: 0.4670 - val_categorical_accuracy: 0.8857 - 410ms/epoch - 8ms/step
Epoch 773/1500
49/49 - 0s - loss: 0.1876 - categorical_accuracy: 0.9456 - val_loss: 0.3797 - val_categorical_accuracy: 0.9086 - 434ms/epoch - 9ms/step
Epoch 774/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9740 - val_loss: 0.4083 - val_categorical_accuracy: 0.9095 - 396ms/epoch - 8ms/step
Epoch 775/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9719 - val_loss: 0.4166 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 776/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9730 - val_loss: 0.3976 - val_categorical_accuracy: 0.9144 - 390ms/epoch - 8ms/step
Epoch 777/1500
49/49 - 0s - loss: 0.0796 - categorical_accuracy: 0.9722 - val_loss: 0.3908 - val_categorical_accuracy: 0.9142 - 390ms/epoch - 8ms/step
Epoch 778/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9742 - val_loss: 0.4713 - val_categorical_accuracy: 0.8935 - 394ms/epoch - 8ms/step
Epoch 779/1500
49/49 - 0s - loss: 0.1306 - categorical_accuracy: 0.9586 - val_loss: 0.3991 - val_categorical_accuracy: 0.9124 - 416ms/epoch - 8ms/step
Epoch 780/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9737 - val_loss: 0.4098 - val_categorical_accuracy: 0.9108 - 430ms/epoch - 9ms/step
Epoch 781/1500
49/49 - 0s - loss: 0.1687 - categorical_accuracy: 0.9498 - val_loss: 0.3684 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 782/1500
49/49 - 0s - loss: 0.0771 - categorical_accuracy: 0.9726 - val_loss: 0.3891 - val_categorical_accuracy: 0.9124 - 390ms/epoch - 8ms/step
Epoch 783/1500
49/49 - 0s - loss: 0.0753 - categorical_accuracy: 0.9732 - val_loss: 0.4151 - val_categorical_accuracy: 0.9057 - 394ms/epoch - 8ms/step
Epoch 784/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9736 - val_loss: 0.4035 - val_categorical_accuracy: 0.9112 - 396ms/epoch - 8ms/step
Epoch 785/1500
49/49 - 0s - loss: 0.0731 - categorical_accuracy: 0.9739 - val_loss: 0.4219 - val_categorical_accuracy: 0.9080 - 390ms/epoch - 8ms/step
Epoch 786/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9724 - val_loss: 0.4072 - val_categorical_accuracy: 0.9099 - 410ms/epoch - 8ms/step
Epoch 787/1500
49/49 - 0s - loss: 0.0735 - categorical_accuracy: 0.9736 - val_loss: 0.4104 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 788/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9727 - val_loss: 0.4240 - val_categorical_accuracy: 0.9064 - 394ms/epoch - 8ms/step
Epoch 789/1500
49/49 - 0s - loss: 0.0761 - categorical_accuracy: 0.9729 - val_loss: 0.4294 - val_categorical_accuracy: 0.9052 - 396ms/epoch - 8ms/step
Epoch 790/1500
49/49 - 0s - loss: 0.0756 - categorical_accuracy: 0.9731 - val_loss: 0.4267 - val_categorical_accuracy: 0.9058 - 400ms/epoch - 8ms/step
Epoch 791/1500
49/49 - 0s - loss: 0.2607 - categorical_accuracy: 0.9298 - val_loss: 0.3798 - val_categorical_accuracy: 0.9063 - 410ms/epoch - 8ms/step
Epoch 792/1500
49/49 - 0s - loss: 0.0750 - categorical_accuracy: 0.9743 - val_loss: 0.3883 - val_categorical_accuracy: 0.9112 - 430ms/epoch - 9ms/step
Epoch 793/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9740 - val_loss: 0.4055 - val_categorical_accuracy: 0.9088 - 394ms/epoch - 8ms/step
Epoch 794/1500
49/49 - 0s - loss: 0.0765 - categorical_accuracy: 0.9728 - val_loss: 0.4635 - val_categorical_accuracy: 0.8923 - 386ms/epoch - 8ms/step
Epoch 795/1500
49/49 - 0s - loss: 0.1481 - categorical_accuracy: 0.9569 - val_loss: 0.4211 - val_categorical_accuracy: 0.9000 - 390ms/epoch - 8ms/step
Epoch 796/1500
49/49 - 0s - loss: 0.0763 - categorical_accuracy: 0.9735 - val_loss: 0.4059 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 797/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9752 - val_loss: 0.4254 - val_categorical_accuracy: 0.9053 - 390ms/epoch - 8ms/step
Epoch 798/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9744 - val_loss: 0.4044 - val_categorical_accuracy: 0.9162 - 414ms/epoch - 8ms/step
Epoch 799/1500
49/49 - 0s - loss: 0.0788 - categorical_accuracy: 0.9719 - val_loss: 0.4278 - val_categorical_accuracy: 0.9091 - 426ms/epoch - 9ms/step
Epoch 800/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9746 - val_loss: 0.4914 - val_categorical_accuracy: 0.8938 - 390ms/epoch - 8ms/step
Epoch 801/1500
49/49 - 0s - loss: 0.1230 - categorical_accuracy: 0.9617 - val_loss: 0.8641 - val_categorical_accuracy: 0.8083 - 410ms/epoch - 8ms/step
Epoch 802/1500
49/49 - 0s - loss: 0.1059 - categorical_accuracy: 0.9644 - val_loss: 0.4671 - val_categorical_accuracy: 0.8858 - 390ms/epoch - 8ms/step
Epoch 803/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9730 - val_loss: 0.4024 - val_categorical_accuracy: 0.9147 - 394ms/epoch - 8ms/step
Epoch 804/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9739 - val_loss: 0.4115 - val_categorical_accuracy: 0.9112 - 396ms/epoch - 8ms/step
Epoch 805/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9746 - val_loss: 0.4323 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 806/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9731 - val_loss: 0.4147 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 807/1500
49/49 - 0s - loss: 0.0716 - categorical_accuracy: 0.9743 - val_loss: 0.4271 - val_categorical_accuracy: 0.9073 - 420ms/epoch - 9ms/step
Epoch 808/1500
49/49 - 0s - loss: 0.1802 - categorical_accuracy: 0.9468 - val_loss: 0.4410 - val_categorical_accuracy: 0.8837 - 424ms/epoch - 9ms/step
Epoch 809/1500
49/49 - 0s - loss: 0.0836 - categorical_accuracy: 0.9710 - val_loss: 0.3948 - val_categorical_accuracy: 0.9102 - 386ms/epoch - 8ms/step
Epoch 810/1500
49/49 - 0s - loss: 0.0736 - categorical_accuracy: 0.9735 - val_loss: 0.4464 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 811/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9746 - val_loss: 0.4196 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 812/1500
49/49 - 0s - loss: 0.0706 - categorical_accuracy: 0.9746 - val_loss: 0.4365 - val_categorical_accuracy: 0.9064 - 390ms/epoch - 8ms/step
Epoch 813/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9734 - val_loss: 0.4386 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 814/1500
49/49 - 0s - loss: 0.0745 - categorical_accuracy: 0.9735 - val_loss: 0.4299 - val_categorical_accuracy: 0.9077 - 408ms/epoch - 8ms/step
Epoch 815/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9742 - val_loss: 0.4998 - val_categorical_accuracy: 0.8933 - 430ms/epoch - 9ms/step
Epoch 816/1500
49/49 - 0s - loss: 0.3877 - categorical_accuracy: 0.9030 - val_loss: 0.3878 - val_categorical_accuracy: 0.9020 - 400ms/epoch - 8ms/step
Epoch 817/1500
49/49 - 0s - loss: 0.0811 - categorical_accuracy: 0.9723 - val_loss: 0.3780 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 818/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9744 - val_loss: 0.3929 - val_categorical_accuracy: 0.9125 - 394ms/epoch - 8ms/step
Epoch 819/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9754 - val_loss: 0.4243 - val_categorical_accuracy: 0.9064 - 396ms/epoch - 8ms/step
Epoch 820/1500
49/49 - 0s - loss: 0.1455 - categorical_accuracy: 0.9569 - val_loss: 0.3625 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 821/1500
49/49 - 0s - loss: 0.0963 - categorical_accuracy: 0.9671 - val_loss: 0.4080 - val_categorical_accuracy: 0.9063 - 410ms/epoch - 8ms/step
Epoch 822/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9748 - val_loss: 0.3951 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 823/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9755 - val_loss: 0.4280 - val_categorical_accuracy: 0.9069 - 390ms/epoch - 8ms/step
Epoch 824/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9747 - val_loss: 0.4387 - val_categorical_accuracy: 0.9035 - 388ms/epoch - 8ms/step
Epoch 825/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9719 - val_loss: 0.4240 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 826/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9750 - val_loss: 0.4410 - val_categorical_accuracy: 0.9041 - 410ms/epoch - 8ms/step
Epoch 827/1500
49/49 - 0s - loss: 0.0783 - categorical_accuracy: 0.9723 - val_loss: 0.4200 - val_categorical_accuracy: 0.9098 - 420ms/epoch - 9ms/step
Epoch 828/1500
49/49 - 0s - loss: 0.1973 - categorical_accuracy: 0.9464 - val_loss: 0.3799 - val_categorical_accuracy: 0.9095 - 440ms/epoch - 9ms/step
Epoch 829/1500
49/49 - 0s - loss: 0.0748 - categorical_accuracy: 0.9739 - val_loss: 0.3961 - val_categorical_accuracy: 0.9107 - 400ms/epoch - 8ms/step
Epoch 830/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9751 - val_loss: 0.4154 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 831/1500
49/49 - 0s - loss: 0.0747 - categorical_accuracy: 0.9736 - val_loss: 0.4110 - val_categorical_accuracy: 0.9090 - 390ms/epoch - 8ms/step
Epoch 832/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9752 - val_loss: 0.3957 - val_categorical_accuracy: 0.9171 - 390ms/epoch - 8ms/step
Epoch 833/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9737 - val_loss: 0.4477 - val_categorical_accuracy: 0.9062 - 394ms/epoch - 8ms/step
Epoch 834/1500
49/49 - 0s - loss: 0.1527 - categorical_accuracy: 0.9538 - val_loss: 0.3946 - val_categorical_accuracy: 0.9137 - 396ms/epoch - 8ms/step
Epoch 835/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9751 - val_loss: 0.3997 - val_categorical_accuracy: 0.9142 - 390ms/epoch - 8ms/step
Epoch 836/1500
49/49 - 0s - loss: 0.0776 - categorical_accuracy: 0.9727 - val_loss: 0.4654 - val_categorical_accuracy: 0.9001 - 410ms/epoch - 8ms/step
Epoch 837/1500
49/49 - 0s - loss: 0.2101 - categorical_accuracy: 0.9442 - val_loss: 0.3802 - val_categorical_accuracy: 0.9147 - 425ms/epoch - 9ms/step
Epoch 838/1500
49/49 - 0s - loss: 0.0709 - categorical_accuracy: 0.9753 - val_loss: 0.4117 - val_categorical_accuracy: 0.9078 - 394ms/epoch - 8ms/step
Epoch 839/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9746 - val_loss: 0.4025 - val_categorical_accuracy: 0.9118 - 386ms/epoch - 8ms/step
Epoch 840/1500
49/49 - 0s - loss: 0.0702 - categorical_accuracy: 0.9752 - val_loss: 0.4035 - val_categorical_accuracy: 0.9129 - 390ms/epoch - 8ms/step
Epoch 841/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9756 - val_loss: 0.4594 - val_categorical_accuracy: 0.9027 - 400ms/epoch - 8ms/step
Epoch 842/1500
49/49 - 0s - loss: 0.1546 - categorical_accuracy: 0.9540 - val_loss: 0.3897 - val_categorical_accuracy: 0.9149 - 390ms/epoch - 8ms/step
Epoch 843/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9731 - val_loss: 0.4150 - val_categorical_accuracy: 0.9108 - 410ms/epoch - 8ms/step
Epoch 844/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9753 - val_loss: 0.4045 - val_categorical_accuracy: 0.9160 - 432ms/epoch - 9ms/step
Epoch 845/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9752 - val_loss: 0.4207 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 846/1500
49/49 - 0s - loss: 0.1764 - categorical_accuracy: 0.9503 - val_loss: 0.3799 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 847/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9753 - val_loss: 0.4162 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 848/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9743 - val_loss: 0.4181 - val_categorical_accuracy: 0.9076 - 394ms/epoch - 8ms/step
Epoch 849/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9745 - val_loss: 0.4159 - val_categorical_accuracy: 0.9095 - 396ms/epoch - 8ms/step
Epoch 850/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9755 - val_loss: 0.4420 - val_categorical_accuracy: 0.9007 - 390ms/epoch - 8ms/step
Epoch 851/1500
49/49 - 0s - loss: 0.0793 - categorical_accuracy: 0.9713 - val_loss: 0.4264 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 852/1500
49/49 - 0s - loss: 0.0730 - categorical_accuracy: 0.9739 - val_loss: 0.4486 - val_categorical_accuracy: 0.9051 - 410ms/epoch - 8ms/step
Epoch 853/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9747 - val_loss: 0.4271 - val_categorical_accuracy: 0.9141 - 424ms/epoch - 9ms/step
Epoch 854/1500
49/49 - 0s - loss: 0.0807 - categorical_accuracy: 0.9711 - val_loss: 0.4333 - val_categorical_accuracy: 0.9067 - 396ms/epoch - 8ms/step
Epoch 855/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9737 - val_loss: 0.5055 - val_categorical_accuracy: 0.8859 - 390ms/epoch - 8ms/step
Epoch 856/1500
49/49 - 0s - loss: 0.3228 - categorical_accuracy: 0.9191 - val_loss: 0.3800 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 857/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9742 - val_loss: 0.3987 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 858/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9749 - val_loss: 0.4027 - val_categorical_accuracy: 0.9115 - 394ms/epoch - 8ms/step
Epoch 859/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9759 - val_loss: 0.4118 - val_categorical_accuracy: 0.9115 - 416ms/epoch - 8ms/step
Epoch 860/1500
49/49 - 0s - loss: 0.0691 - categorical_accuracy: 0.9752 - val_loss: 0.4079 - val_categorical_accuracy: 0.9146 - 420ms/epoch - 9ms/step
Epoch 861/1500
49/49 - 0s - loss: 0.0683 - categorical_accuracy: 0.9755 - val_loss: 0.4344 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 862/1500
49/49 - 0s - loss: 0.0723 - categorical_accuracy: 0.9742 - val_loss: 0.4101 - val_categorical_accuracy: 0.9165 - 390ms/epoch - 8ms/step
Epoch 863/1500
49/49 - 0s - loss: 0.0715 - categorical_accuracy: 0.9745 - val_loss: 0.4112 - val_categorical_accuracy: 0.9146 - 384ms/epoch - 8ms/step
Epoch 864/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9741 - val_loss: 0.4206 - val_categorical_accuracy: 0.9137 - 396ms/epoch - 8ms/step
Epoch 865/1500
49/49 - 0s - loss: 0.0733 - categorical_accuracy: 0.9735 - val_loss: 0.4811 - val_categorical_accuracy: 0.8989 - 390ms/epoch - 8ms/step
Epoch 866/1500
49/49 - 0s - loss: 0.0751 - categorical_accuracy: 0.9730 - val_loss: 0.4948 - val_categorical_accuracy: 0.8948 - 410ms/epoch - 8ms/step
Epoch 867/1500
49/49 - 0s - loss: 0.2559 - categorical_accuracy: 0.9344 - val_loss: 0.4075 - val_categorical_accuracy: 0.9064 - 430ms/epoch - 9ms/step
Epoch 868/1500
49/49 - 0s - loss: 0.0725 - categorical_accuracy: 0.9744 - val_loss: 0.4408 - val_categorical_accuracy: 0.8999 - 394ms/epoch - 8ms/step
Epoch 869/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9753 - val_loss: 0.4379 - val_categorical_accuracy: 0.9002 - 396ms/epoch - 8ms/step
Epoch 870/1500
49/49 - 0s - loss: 0.1625 - categorical_accuracy: 0.9529 - val_loss: 0.4028 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 871/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9756 - val_loss: 0.4432 - val_categorical_accuracy: 0.9028 - 400ms/epoch - 8ms/step
Epoch 872/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9755 - val_loss: 0.4041 - val_categorical_accuracy: 0.9131 - 400ms/epoch - 8ms/step
Epoch 873/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9766 - val_loss: 0.4471 - val_categorical_accuracy: 0.9069 - 414ms/epoch - 8ms/step
Epoch 874/1500
49/49 - 0s - loss: 0.0713 - categorical_accuracy: 0.9746 - val_loss: 0.4329 - val_categorical_accuracy: 0.9064 - 396ms/epoch - 8ms/step
Epoch 875/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9760 - val_loss: 0.4307 - val_categorical_accuracy: 0.9081 - 400ms/epoch - 8ms/step
Epoch 876/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9756 - val_loss: 0.4398 - val_categorical_accuracy: 0.9065 - 400ms/epoch - 8ms/step
Epoch 877/1500
49/49 - 0s - loss: 0.0710 - categorical_accuracy: 0.9745 - val_loss: 0.4379 - val_categorical_accuracy: 0.9075 - 400ms/epoch - 8ms/step
Epoch 878/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9759 - val_loss: 0.4321 - val_categorical_accuracy: 0.9095 - 394ms/epoch - 8ms/step
Epoch 879/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9754 - val_loss: 0.4227 - val_categorical_accuracy: 0.9142 - 396ms/epoch - 8ms/step
Epoch 880/1500
49/49 - 0s - loss: 0.0762 - categorical_accuracy: 0.9727 - val_loss: 0.4322 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 881/1500
49/49 - 0s - loss: 0.2918 - categorical_accuracy: 0.9317 - val_loss: 0.4706 - val_categorical_accuracy: 0.8603 - 410ms/epoch - 8ms/step
Epoch 882/1500
49/49 - 0s - loss: 0.1108 - categorical_accuracy: 0.9614 - val_loss: 0.4052 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 883/1500
49/49 - 0s - loss: 0.0741 - categorical_accuracy: 0.9739 - val_loss: 0.3891 - val_categorical_accuracy: 0.9151 - 394ms/epoch - 8ms/step
Epoch 884/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9763 - val_loss: 0.4360 - val_categorical_accuracy: 0.9087 - 396ms/epoch - 8ms/step
Epoch 885/1500
49/49 - 0s - loss: 0.0707 - categorical_accuracy: 0.9749 - val_loss: 0.4125 - val_categorical_accuracy: 0.9103 - 400ms/epoch - 8ms/step
Epoch 886/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9734 - val_loss: 0.4267 - val_categorical_accuracy: 0.9074 - 420ms/epoch - 9ms/step
Epoch 887/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9757 - val_loss: 0.4331 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 888/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9770 - val_loss: 0.5055 - val_categorical_accuracy: 0.8847 - 394ms/epoch - 8ms/step
Epoch 889/1500
49/49 - 0s - loss: 0.2305 - categorical_accuracy: 0.9392 - val_loss: 0.3964 - val_categorical_accuracy: 0.9110 - 396ms/epoch - 8ms/step
Epoch 890/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9756 - val_loss: 0.4178 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 891/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9759 - val_loss: 0.4075 - val_categorical_accuracy: 0.9135 - 400ms/epoch - 8ms/step
Epoch 892/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9762 - val_loss: 0.4485 - val_categorical_accuracy: 0.9030 - 420ms/epoch - 9ms/step
Epoch 893/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9755 - val_loss: 0.4217 - val_categorical_accuracy: 0.9131 - 394ms/epoch - 8ms/step
Epoch 894/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9771 - val_loss: 0.4270 - val_categorical_accuracy: 0.9080 - 396ms/epoch - 8ms/step
Epoch 895/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9767 - val_loss: 0.5483 - val_categorical_accuracy: 0.8825 - 390ms/epoch - 8ms/step
Epoch 896/1500
49/49 - 0s - loss: 0.1307 - categorical_accuracy: 0.9595 - val_loss: 0.4168 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 897/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9759 - val_loss: 0.4126 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 898/1500
49/49 - 0s - loss: 0.0678 - categorical_accuracy: 0.9754 - val_loss: 0.4244 - val_categorical_accuracy: 0.9122 - 414ms/epoch - 8ms/step
Epoch 899/1500
49/49 - 0s - loss: 0.0675 - categorical_accuracy: 0.9762 - val_loss: 0.4646 - val_categorical_accuracy: 0.9032 - 426ms/epoch - 9ms/step
Epoch 900/1500
49/49 - 0s - loss: 0.0711 - categorical_accuracy: 0.9740 - val_loss: 0.4403 - val_categorical_accuracy: 0.9074 - 390ms/epoch - 8ms/step
Epoch 901/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9769 - val_loss: 0.4230 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 902/1500
49/49 - 0s - loss: 0.0752 - categorical_accuracy: 0.9729 - val_loss: 0.5318 - val_categorical_accuracy: 0.8876 - 400ms/epoch - 8ms/step
Epoch 903/1500
49/49 - 0s - loss: 0.2998 - categorical_accuracy: 0.9259 - val_loss: 0.3854 - val_categorical_accuracy: 0.9084 - 394ms/epoch - 8ms/step
Epoch 904/1500
49/49 - 0s - loss: 0.0705 - categorical_accuracy: 0.9754 - val_loss: 0.4355 - val_categorical_accuracy: 0.9034 - 396ms/epoch - 8ms/step
Epoch 905/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9762 - val_loss: 0.4039 - val_categorical_accuracy: 0.9155 - 410ms/epoch - 8ms/step
Epoch 906/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9761 - val_loss: 0.4324 - val_categorical_accuracy: 0.9085 - 390ms/epoch - 8ms/step
Epoch 907/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9749 - val_loss: 0.4361 - val_categorical_accuracy: 0.9129 - 390ms/epoch - 8ms/step
Epoch 908/1500
49/49 - 0s - loss: 0.0704 - categorical_accuracy: 0.9749 - val_loss: 0.4529 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 909/1500
49/49 - 0s - loss: 0.1453 - categorical_accuracy: 0.9585 - val_loss: 0.4266 - val_categorical_accuracy: 0.9049 - 400ms/epoch - 8ms/step
Epoch 910/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9758 - val_loss: 0.4201 - val_categorical_accuracy: 0.9112 - 410ms/epoch - 8ms/step
Epoch 911/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9768 - val_loss: 0.5052 - val_categorical_accuracy: 0.8926 - 430ms/epoch - 9ms/step
Epoch 912/1500
49/49 - 0s - loss: 0.1468 - categorical_accuracy: 0.9589 - val_loss: 0.4208 - val_categorical_accuracy: 0.9079 - 440ms/epoch - 9ms/step
Epoch 913/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9763 - val_loss: 0.4459 - val_categorical_accuracy: 0.9021 - 384ms/epoch - 8ms/step
Epoch 914/1500
49/49 - 0s - loss: 0.1296 - categorical_accuracy: 0.9579 - val_loss: 0.4540 - val_categorical_accuracy: 0.8977 - 396ms/epoch - 8ms/step
Epoch 915/1500
49/49 - 0s - loss: 0.0703 - categorical_accuracy: 0.9753 - val_loss: 0.4043 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 916/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9764 - val_loss: 0.4193 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 917/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9755 - val_loss: 0.4447 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 918/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9762 - val_loss: 0.4562 - val_categorical_accuracy: 0.9066 - 394ms/epoch - 8ms/step
Epoch 919/1500
49/49 - 0s - loss: 0.0696 - categorical_accuracy: 0.9749 - val_loss: 0.4425 - val_categorical_accuracy: 0.9076 - 396ms/epoch - 8ms/step
Epoch 920/1500
49/49 - 0s - loss: 0.0694 - categorical_accuracy: 0.9751 - val_loss: 0.4280 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 921/1500
49/49 - 0s - loss: 0.1598 - categorical_accuracy: 0.9493 - val_loss: 0.4151 - val_categorical_accuracy: 0.9086 - 420ms/epoch - 9ms/step
Epoch 922/1500
49/49 - 0s - loss: 0.0670 - categorical_accuracy: 0.9760 - val_loss: 0.4098 - val_categorical_accuracy: 0.9134 - 400ms/epoch - 8ms/step
Epoch 923/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9772 - val_loss: 0.4254 - val_categorical_accuracy: 0.9129 - 394ms/epoch - 8ms/step
Epoch 924/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9757 - val_loss: 0.4465 - val_categorical_accuracy: 0.9117 - 406ms/epoch - 8ms/step
Epoch 925/1500
49/49 - 0s - loss: 0.0687 - categorical_accuracy: 0.9755 - val_loss: 0.4353 - val_categorical_accuracy: 0.9096 - 400ms/epoch - 8ms/step
Epoch 926/1500
49/49 - 0s - loss: 0.0729 - categorical_accuracy: 0.9738 - val_loss: 0.4708 - val_categorical_accuracy: 0.9011 - 420ms/epoch - 9ms/step
Epoch 927/1500
49/49 - 0s - loss: 0.1411 - categorical_accuracy: 0.9562 - val_loss: 0.4058 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 928/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9766 - val_loss: 0.4613 - val_categorical_accuracy: 0.8989 - 394ms/epoch - 8ms/step
Epoch 929/1500
49/49 - 0s - loss: 0.0728 - categorical_accuracy: 0.9743 - val_loss: 0.4217 - val_categorical_accuracy: 0.9114 - 396ms/epoch - 8ms/step
Epoch 930/1500
49/49 - 0s - loss: 0.0708 - categorical_accuracy: 0.9742 - val_loss: 0.4318 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 931/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9758 - val_loss: 0.4975 - val_categorical_accuracy: 0.8958 - 390ms/epoch - 8ms/step
Epoch 932/1500
49/49 - 0s - loss: 0.1592 - categorical_accuracy: 0.9560 - val_loss: 0.4278 - val_categorical_accuracy: 0.9062 - 400ms/epoch - 8ms/step
Epoch 933/1500
49/49 - 0s - loss: 0.0677 - categorical_accuracy: 0.9761 - val_loss: 0.4180 - val_categorical_accuracy: 0.9147 - 414ms/epoch - 8ms/step
Epoch 934/1500
49/49 - 0s - loss: 0.0789 - categorical_accuracy: 0.9715 - val_loss: 0.6935 - val_categorical_accuracy: 0.8516 - 396ms/epoch - 8ms/step
Epoch 935/1500
49/49 - 0s - loss: 0.1277 - categorical_accuracy: 0.9587 - val_loss: 0.3948 - val_categorical_accuracy: 0.9156 - 390ms/epoch - 8ms/step
Epoch 936/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9777 - val_loss: 0.4125 - val_categorical_accuracy: 0.9149 - 390ms/epoch - 8ms/step
Epoch 937/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9776 - val_loss: 0.4114 - val_categorical_accuracy: 0.9147 - 400ms/epoch - 8ms/step
Epoch 938/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9767 - val_loss: 0.4223 - val_categorical_accuracy: 0.9133 - 414ms/epoch - 8ms/step
Epoch 939/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9765 - val_loss: 0.4570 - val_categorical_accuracy: 0.9041 - 432ms/epoch - 9ms/step
Epoch 940/1500
49/49 - 1s - loss: 0.0805 - categorical_accuracy: 0.9709 - val_loss: 0.4207 - val_categorical_accuracy: 0.9123 - 568ms/epoch - 12ms/step
Epoch 941/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9758 - val_loss: 0.4321 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 942/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9757 - val_loss: 0.4403 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 943/1500
49/49 - 0s - loss: 0.0662 - categorical_accuracy: 0.9763 - val_loss: 0.4485 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 944/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9761 - val_loss: 0.4487 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 945/1500
49/49 - 0s - loss: 0.0857 - categorical_accuracy: 0.9697 - val_loss: 0.4281 - val_categorical_accuracy: 0.9143 - 430ms/epoch - 9ms/step
Epoch 946/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9768 - val_loss: 0.4456 - val_categorical_accuracy: 0.9112 - 430ms/epoch - 9ms/step
Epoch 947/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9747 - val_loss: 0.4565 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 948/1500
49/49 - 0s - loss: 0.0720 - categorical_accuracy: 0.9739 - val_loss: 0.4705 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 949/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9766 - val_loss: 0.4675 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 950/1500
49/49 - 0s - loss: 0.1430 - categorical_accuracy: 0.9580 - val_loss: 0.4219 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 951/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9763 - val_loss: 0.4258 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 952/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9766 - val_loss: 0.4888 - val_categorical_accuracy: 0.9020 - 410ms/epoch - 8ms/step
Epoch 953/1500
49/49 - 0s - loss: 0.0688 - categorical_accuracy: 0.9752 - val_loss: 0.4436 - val_categorical_accuracy: 0.9127 - 434ms/epoch - 9ms/step
Epoch 954/1500
49/49 - 0s - loss: 0.0672 - categorical_accuracy: 0.9758 - val_loss: 0.4454 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 955/1500
49/49 - 0s - loss: 0.0690 - categorical_accuracy: 0.9755 - val_loss: 0.4719 - val_categorical_accuracy: 0.9035 - 400ms/epoch - 8ms/step
Epoch 956/1500
49/49 - 0s - loss: 0.0722 - categorical_accuracy: 0.9735 - val_loss: 0.4420 - val_categorical_accuracy: 0.9133 - 400ms/epoch - 8ms/step
Epoch 957/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9774 - val_loss: 0.4391 - val_categorical_accuracy: 0.9140 - 400ms/epoch - 8ms/step
Epoch 958/1500
49/49 - 0s - loss: 0.0759 - categorical_accuracy: 0.9724 - val_loss: 0.5920 - val_categorical_accuracy: 0.8771 - 394ms/epoch - 8ms/step
Epoch 959/1500
49/49 - 0s - loss: 0.1655 - categorical_accuracy: 0.9506 - val_loss: 0.4164 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 960/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9769 - val_loss: 0.4783 - val_categorical_accuracy: 0.8993 - 420ms/epoch - 9ms/step
Epoch 961/1500
49/49 - 0s - loss: 0.5969 - categorical_accuracy: 0.8519 - val_loss: 0.4009 - val_categorical_accuracy: 0.8941 - 390ms/epoch - 8ms/step
Epoch 962/1500
49/49 - 0s - loss: 0.1003 - categorical_accuracy: 0.9655 - val_loss: 0.3954 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 963/1500
49/49 - 0s - loss: 0.0746 - categorical_accuracy: 0.9748 - val_loss: 0.4069 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 964/1500
49/49 - 0s - loss: 0.0692 - categorical_accuracy: 0.9760 - val_loss: 0.4266 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 965/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9765 - val_loss: 0.4293 - val_categorical_accuracy: 0.9108 - 420ms/epoch - 9ms/step
Epoch 966/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9773 - val_loss: 0.4335 - val_categorical_accuracy: 0.9121 - 430ms/epoch - 9ms/step
Epoch 967/1500
49/49 - 0s - loss: 0.0669 - categorical_accuracy: 0.9760 - val_loss: 0.4211 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 968/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9771 - val_loss: 0.4690 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 969/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9740 - val_loss: 0.5661 - val_categorical_accuracy: 0.8807 - 390ms/epoch - 8ms/step
Epoch 970/1500
49/49 - 0s - loss: 0.0744 - categorical_accuracy: 0.9737 - val_loss: 0.4464 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 971/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9765 - val_loss: 0.4612 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 972/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9772 - val_loss: 0.4499 - val_categorical_accuracy: 0.9113 - 420ms/epoch - 9ms/step
Epoch 973/1500
49/49 - 0s - loss: 0.0653 - categorical_accuracy: 0.9766 - val_loss: 0.4878 - val_categorical_accuracy: 0.9067 - 390ms/epoch - 8ms/step
Epoch 974/1500
49/49 - 0s - loss: 0.2357 - categorical_accuracy: 0.9423 - val_loss: 0.4051 - val_categorical_accuracy: 0.9140 - 390ms/epoch - 8ms/step
Epoch 975/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9772 - val_loss: 0.4198 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 976/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9769 - val_loss: 0.4421 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 977/1500
49/49 - 0s - loss: 0.0664 - categorical_accuracy: 0.9759 - val_loss: 0.4751 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 978/1500
49/49 - 0s - loss: 0.0643 - categorical_accuracy: 0.9772 - val_loss: 0.4436 - val_categorical_accuracy: 0.9132 - 410ms/epoch - 8ms/step
Epoch 979/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9777 - val_loss: 0.4630 - val_categorical_accuracy: 0.9031 - 429ms/epoch - 9ms/step
Epoch 980/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9769 - val_loss: 0.5319 - val_categorical_accuracy: 0.8892 - 420ms/epoch - 9ms/step
Epoch 981/1500
49/49 - 0s - loss: 0.0726 - categorical_accuracy: 0.9735 - val_loss: 0.4740 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 982/1500
49/49 - 0s - loss: 0.2873 - categorical_accuracy: 0.9313 - val_loss: 0.4057 - val_categorical_accuracy: 0.8948 - 397ms/epoch - 8ms/step
Epoch 983/1500
49/49 - 0s - loss: 0.0773 - categorical_accuracy: 0.9737 - val_loss: 0.3945 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 984/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9780 - val_loss: 0.4552 - val_categorical_accuracy: 0.9032 - 395ms/epoch - 8ms/step
Epoch 985/1500
49/49 - 0s - loss: 0.0657 - categorical_accuracy: 0.9768 - val_loss: 0.4719 - val_categorical_accuracy: 0.8980 - 400ms/epoch - 8ms/step
Epoch 986/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9769 - val_loss: 0.4112 - val_categorical_accuracy: 0.9173 - 404ms/epoch - 8ms/step
Epoch 987/1500
49/49 - 0s - loss: 0.0636 - categorical_accuracy: 0.9773 - val_loss: 0.4331 - val_categorical_accuracy: 0.9154 - 420ms/epoch - 9ms/step
Epoch 988/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9769 - val_loss: 0.4779 - val_categorical_accuracy: 0.8990 - 394ms/epoch - 8ms/step
Epoch 989/1500
49/49 - 0s - loss: 0.0645 - categorical_accuracy: 0.9772 - val_loss: 0.4277 - val_categorical_accuracy: 0.9166 - 390ms/epoch - 8ms/step
Epoch 990/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9772 - val_loss: 0.4479 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 991/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9768 - val_loss: 0.4555 - val_categorical_accuracy: 0.9057 - 400ms/epoch - 8ms/step
Epoch 992/1500
49/49 - 0s - loss: 0.0986 - categorical_accuracy: 0.9684 - val_loss: 2.5785 - val_categorical_accuracy: 0.7272 - 400ms/epoch - 8ms/step
Epoch 993/1500
49/49 - 0s - loss: 0.2084 - categorical_accuracy: 0.9447 - val_loss: 0.4006 - val_categorical_accuracy: 0.9155 - 414ms/epoch - 8ms/step
Epoch 994/1500
49/49 - 0s - loss: 0.0659 - categorical_accuracy: 0.9766 - val_loss: 0.4164 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 995/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9780 - val_loss: 0.4241 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 996/1500
49/49 - 0s - loss: 0.0638 - categorical_accuracy: 0.9775 - val_loss: 0.4380 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 997/1500
49/49 - 0s - loss: 0.0699 - categorical_accuracy: 0.9750 - val_loss: 0.4464 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 998/1500
49/49 - 0s - loss: 0.0633 - categorical_accuracy: 0.9773 - val_loss: 0.4686 - val_categorical_accuracy: 0.9073 - 394ms/epoch - 8ms/step
Epoch 999/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9765 - val_loss: 0.4304 - val_categorical_accuracy: 0.9146 - 420ms/epoch - 9ms/step
Epoch 1000/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9776 - val_loss: 0.5409 - val_categorical_accuracy: 0.8919 - 400ms/epoch - 8ms/step
Epoch 1001/1500
49/49 - 0s - loss: 0.1718 - categorical_accuracy: 0.9525 - val_loss: 0.4127 - val_categorical_accuracy: 0.9127 - 400ms/epoch - 8ms/step
Epoch 1002/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9780 - val_loss: 0.4164 - val_categorical_accuracy: 0.9154 - 390ms/epoch - 8ms/step
Epoch 1003/1500
49/49 - 0s - loss: 0.0609 - categorical_accuracy: 0.9785 - val_loss: 0.4421 - val_categorical_accuracy: 0.9109 - 405ms/epoch - 8ms/step
Epoch 1004/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9780 - val_loss: 0.4368 - val_categorical_accuracy: 0.9123 - 390ms/epoch - 8ms/step
Epoch 1005/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9763 - val_loss: 0.4410 - val_categorical_accuracy: 0.9142 - 390ms/epoch - 8ms/step
Epoch 1006/1500
49/49 - 0s - loss: 0.0800 - categorical_accuracy: 0.9725 - val_loss: 0.5611 - val_categorical_accuracy: 0.8777 - 400ms/epoch - 8ms/step
Epoch 1007/1500
49/49 - 0s - loss: 0.1265 - categorical_accuracy: 0.9596 - val_loss: 0.4402 - val_categorical_accuracy: 0.9045 - 420ms/epoch - 9ms/step
Epoch 1008/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9761 - val_loss: 0.4508 - val_categorical_accuracy: 0.9082 - 394ms/epoch - 8ms/step
Epoch 1009/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9769 - val_loss: 0.4381 - val_categorical_accuracy: 0.9154 - 400ms/epoch - 8ms/step
Epoch 1010/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9778 - val_loss: 0.4578 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1011/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9765 - val_loss: 0.4722 - val_categorical_accuracy: 0.9063 - 390ms/epoch - 8ms/step
Epoch 1012/1500
49/49 - 0s - loss: 0.0804 - categorical_accuracy: 0.9708 - val_loss: 0.4400 - val_categorical_accuracy: 0.9147 - 400ms/epoch - 8ms/step
Epoch 1013/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9769 - val_loss: 0.4390 - val_categorical_accuracy: 0.9166 - 424ms/epoch - 9ms/step
Epoch 1014/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9781 - val_loss: 0.4678 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1015/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.4830 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1016/1500
49/49 - 0s - loss: 0.1259 - categorical_accuracy: 0.9633 - val_loss: 0.4278 - val_categorical_accuracy: 0.9116 - 400ms/epoch - 8ms/step
Epoch 1017/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9783 - val_loss: 0.4294 - val_categorical_accuracy: 0.9147 - 400ms/epoch - 8ms/step
Epoch 1018/1500
49/49 - 0s - loss: 0.0739 - categorical_accuracy: 0.9738 - val_loss: 0.4566 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1019/1500
49/49 - 0s - loss: 0.0640 - categorical_accuracy: 0.9772 - val_loss: 0.4416 - val_categorical_accuracy: 0.9150 - 420ms/epoch - 9ms/step
Epoch 1020/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9783 - val_loss: 0.4504 - val_categorical_accuracy: 0.9114 - 400ms/epoch - 8ms/step
Epoch 1021/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9776 - val_loss: 0.5092 - val_categorical_accuracy: 0.8970 - 390ms/epoch - 8ms/step
Epoch 1022/1500
49/49 - 0s - loss: 0.0767 - categorical_accuracy: 0.9723 - val_loss: 0.4970 - val_categorical_accuracy: 0.9050 - 390ms/epoch - 8ms/step
Epoch 1023/1500
49/49 - 0s - loss: 0.0663 - categorical_accuracy: 0.9762 - val_loss: 0.4973 - val_categorical_accuracy: 0.9021 - 390ms/epoch - 8ms/step
Epoch 1024/1500
49/49 - 0s - loss: 0.1532 - categorical_accuracy: 0.9580 - val_loss: 0.4363 - val_categorical_accuracy: 0.9090 - 400ms/epoch - 8ms/step
Epoch 1025/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9775 - val_loss: 0.4382 - val_categorical_accuracy: 0.9147 - 420ms/epoch - 9ms/step
Epoch 1026/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9786 - val_loss: 0.4983 - val_categorical_accuracy: 0.8992 - 420ms/epoch - 9ms/step
Epoch 1027/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9769 - val_loss: 0.4726 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1028/1500
49/49 - 0s - loss: 0.0665 - categorical_accuracy: 0.9759 - val_loss: 0.4533 - val_categorical_accuracy: 0.9124 - 394ms/epoch - 8ms/step
Epoch 1029/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9781 - val_loss: 0.4411 - val_categorical_accuracy: 0.9151 - 390ms/epoch - 8ms/step
Epoch 1030/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9776 - val_loss: 0.5763 - val_categorical_accuracy: 0.8822 - 390ms/epoch - 8ms/step
Epoch 1031/1500
49/49 - 0s - loss: 0.1660 - categorical_accuracy: 0.9545 - val_loss: 0.4218 - val_categorical_accuracy: 0.9150 - 390ms/epoch - 8ms/step
Epoch 1032/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9777 - val_loss: 0.4487 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1033/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9755 - val_loss: 0.4495 - val_categorical_accuracy: 0.9107 - 424ms/epoch - 9ms/step
Epoch 1034/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9776 - val_loss: 0.4656 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1035/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9776 - val_loss: 0.4612 - val_categorical_accuracy: 0.9085 - 400ms/epoch - 8ms/step
Epoch 1036/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9782 - val_loss: 0.4502 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1037/1500
49/49 - 0s - loss: 0.0639 - categorical_accuracy: 0.9760 - val_loss: 0.4597 - val_categorical_accuracy: 0.9104 - 400ms/epoch - 8ms/step
Epoch 1038/1500
49/49 - 0s - loss: 0.0766 - categorical_accuracy: 0.9726 - val_loss: 0.4960 - val_categorical_accuracy: 0.9020 - 390ms/epoch - 8ms/step
Epoch 1039/1500
49/49 - 0s - loss: 0.0743 - categorical_accuracy: 0.9735 - val_loss: 0.4907 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1040/1500
49/49 - 0s - loss: 0.1978 - categorical_accuracy: 0.9459 - val_loss: 0.4155 - val_categorical_accuracy: 0.9157 - 390ms/epoch - 8ms/step
Epoch 1041/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9782 - val_loss: 0.4398 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1042/1500
49/49 - 0s - loss: 0.0611 - categorical_accuracy: 0.9780 - val_loss: 0.4497 - val_categorical_accuracy: 0.9142 - 420ms/epoch - 9ms/step
Epoch 1043/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9790 - val_loss: 0.4886 - val_categorical_accuracy: 0.9032 - 394ms/epoch - 8ms/step
Epoch 1044/1500
49/49 - 0s - loss: 0.0652 - categorical_accuracy: 0.9762 - val_loss: 0.4518 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1045/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9783 - val_loss: 0.4560 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 1046/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9775 - val_loss: 0.4467 - val_categorical_accuracy: 0.9138 - 390ms/epoch - 8ms/step
Epoch 1047/1500
49/49 - 0s - loss: 0.0632 - categorical_accuracy: 0.9771 - val_loss: 0.4790 - val_categorical_accuracy: 0.9071 - 410ms/epoch - 8ms/step
Epoch 1048/1500
49/49 - 0s - loss: 0.1476 - categorical_accuracy: 0.9578 - val_loss: 0.4485 - val_categorical_accuracy: 0.9072 - 434ms/epoch - 9ms/step
Epoch 1049/1500
49/49 - 0s - loss: 0.0650 - categorical_accuracy: 0.9770 - val_loss: 0.4597 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1050/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9785 - val_loss: 0.4384 - val_categorical_accuracy: 0.9138 - 390ms/epoch - 8ms/step
Epoch 1051/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9784 - val_loss: 0.4433 - val_categorical_accuracy: 0.9165 - 390ms/epoch - 8ms/step
Epoch 1052/1500
49/49 - 0s - loss: 0.0637 - categorical_accuracy: 0.9767 - val_loss: 0.4600 - val_categorical_accuracy: 0.9117 - 400ms/epoch - 8ms/step
Epoch 1053/1500
49/49 - 0s - loss: 0.0644 - categorical_accuracy: 0.9766 - val_loss: 0.4620 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1054/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9787 - val_loss: 0.4924 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1055/1500
49/49 - 0s - loss: 0.1840 - categorical_accuracy: 0.9441 - val_loss: 0.4201 - val_categorical_accuracy: 0.9107 - 410ms/epoch - 8ms/step
Epoch 1056/1500
49/49 - 0s - loss: 0.0630 - categorical_accuracy: 0.9779 - val_loss: 0.4506 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1057/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9788 - val_loss: 0.4516 - val_categorical_accuracy: 0.9077 - 400ms/epoch - 8ms/step
Epoch 1058/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9768 - val_loss: 0.4744 - val_categorical_accuracy: 0.9032 - 394ms/epoch - 8ms/step
Epoch 1059/1500
49/49 - 0s - loss: 0.0592 - categorical_accuracy: 0.9786 - val_loss: 0.4839 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1060/1500
49/49 - 0s - loss: 0.0719 - categorical_accuracy: 0.9742 - val_loss: 0.4784 - val_categorical_accuracy: 0.9096 - 420ms/epoch - 9ms/step
Epoch 1061/1500
49/49 - 0s - loss: 0.0602 - categorical_accuracy: 0.9781 - val_loss: 0.4552 - val_categorical_accuracy: 0.9160 - 430ms/epoch - 9ms/step
Epoch 1062/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9785 - val_loss: 0.5194 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1063/1500
49/49 - 0s - loss: 0.0700 - categorical_accuracy: 0.9745 - val_loss: 0.4633 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 1064/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9793 - val_loss: 0.4828 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 1065/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9788 - val_loss: 0.5010 - val_categorical_accuracy: 0.9030 - 390ms/epoch - 8ms/step
Epoch 1066/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9765 - val_loss: 0.4574 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 1067/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9779 - val_loss: 0.4841 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1068/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9782 - val_loss: 0.4550 - val_categorical_accuracy: 0.9159 - 405ms/epoch - 8ms/step
Epoch 1069/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9783 - val_loss: 0.4850 - val_categorical_accuracy: 0.9095 - 420ms/epoch - 9ms/step
Epoch 1070/1500
49/49 - 0s - loss: 0.2328 - categorical_accuracy: 0.9426 - val_loss: 0.4139 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1071/1500
49/49 - 0s - loss: 0.0679 - categorical_accuracy: 0.9761 - val_loss: 0.4405 - val_categorical_accuracy: 0.9115 - 400ms/epoch - 8ms/step
Epoch 1072/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9784 - val_loss: 0.4852 - val_categorical_accuracy: 0.9004 - 400ms/epoch - 8ms/step
Epoch 1073/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9775 - val_loss: 0.4860 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1074/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9781 - val_loss: 0.4507 - val_categorical_accuracy: 0.9101 - 420ms/epoch - 9ms/step
Epoch 1075/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9784 - val_loss: 0.4576 - val_categorical_accuracy: 0.9139 - 390ms/epoch - 8ms/step
Epoch 1076/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9783 - val_loss: 0.5043 - val_categorical_accuracy: 0.9000 - 400ms/epoch - 8ms/step
Epoch 1077/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9759 - val_loss: 0.4735 - val_categorical_accuracy: 0.9060 - 390ms/epoch - 8ms/step
Epoch 1078/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9779 - val_loss: 0.5243 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1079/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9766 - val_loss: 0.4870 - val_categorical_accuracy: 0.9054 - 390ms/epoch - 8ms/step
Epoch 1080/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9761 - val_loss: 0.4715 - val_categorical_accuracy: 0.9103 - 430ms/epoch - 9ms/step
Epoch 1081/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9784 - val_loss: 0.4950 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1082/1500
49/49 - 0s - loss: 0.0680 - categorical_accuracy: 0.9754 - val_loss: 0.4753 - val_categorical_accuracy: 0.9111 - 390ms/epoch - 8ms/step
Epoch 1083/1500
49/49 - 0s - loss: 0.0647 - categorical_accuracy: 0.9761 - val_loss: 0.5083 - val_categorical_accuracy: 0.9039 - 400ms/epoch - 8ms/step
Epoch 1084/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9784 - val_loss: 0.5719 - val_categorical_accuracy: 0.8887 - 400ms/epoch - 8ms/step
Epoch 1085/1500
49/49 - 0s - loss: 0.2246 - categorical_accuracy: 0.9429 - val_loss: 0.4617 - val_categorical_accuracy: 0.9037 - 400ms/epoch - 8ms/step
Epoch 1086/1500
49/49 - 0s - loss: 0.0631 - categorical_accuracy: 0.9775 - val_loss: 0.4522 - val_categorical_accuracy: 0.9097 - 420ms/epoch - 9ms/step
Epoch 1087/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9771 - val_loss: 0.4510 - val_categorical_accuracy: 0.9134 - 400ms/epoch - 8ms/step
Epoch 1088/1500
49/49 - 0s - loss: 0.0588 - categorical_accuracy: 0.9787 - val_loss: 0.4658 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1089/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9786 - val_loss: 0.4761 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1090/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9784 - val_loss: 0.4853 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1091/1500
49/49 - 0s - loss: 0.0635 - categorical_accuracy: 0.9770 - val_loss: 0.4831 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1092/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9789 - val_loss: 0.4943 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 1093/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9785 - val_loss: 0.4839 - val_categorical_accuracy: 0.9088 - 424ms/epoch - 9ms/step
Epoch 1094/1500
49/49 - 0s - loss: 0.2710 - categorical_accuracy: 0.9337 - val_loss: 0.4146 - val_categorical_accuracy: 0.9059 - 400ms/epoch - 8ms/step
Epoch 1095/1500
49/49 - 0s - loss: 0.0655 - categorical_accuracy: 0.9773 - val_loss: 0.4241 - val_categorical_accuracy: 0.9171 - 400ms/epoch - 8ms/step
Epoch 1096/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9798 - val_loss: 0.4488 - val_categorical_accuracy: 0.9124 - 390ms/epoch - 8ms/step
Epoch 1097/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9781 - val_loss: 0.5142 - val_categorical_accuracy: 0.9001 - 390ms/epoch - 8ms/step
Epoch 1098/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9764 - val_loss: 0.4647 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 1099/1500
49/49 - 0s - loss: 0.1573 - categorical_accuracy: 0.9552 - val_loss: 0.4069 - val_categorical_accuracy: 0.8980 - 390ms/epoch - 8ms/step
Epoch 1100/1500
49/49 - 0s - loss: 0.0701 - categorical_accuracy: 0.9755 - val_loss: 0.4801 - val_categorical_accuracy: 0.9032 - 410ms/epoch - 8ms/step
Epoch 1101/1500
49/49 - 0s - loss: 0.0621 - categorical_accuracy: 0.9779 - val_loss: 0.4347 - val_categorical_accuracy: 0.9142 - 430ms/epoch - 9ms/step
Epoch 1102/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9773 - val_loss: 0.4398 - val_categorical_accuracy: 0.9151 - 390ms/epoch - 8ms/step
Epoch 1103/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9787 - val_loss: 0.4540 - val_categorical_accuracy: 0.9126 - 400ms/epoch - 8ms/step
Epoch 1104/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9783 - val_loss: 0.4688 - val_categorical_accuracy: 0.9095 - 390ms/epoch - 8ms/step
Epoch 1105/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9777 - val_loss: 0.4538 - val_categorical_accuracy: 0.9130 - 400ms/epoch - 8ms/step
Epoch 1106/1500
49/49 - 0s - loss: 0.0605 - categorical_accuracy: 0.9781 - val_loss: 0.4897 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1107/1500
49/49 - 0s - loss: 0.0597 - categorical_accuracy: 0.9780 - val_loss: 0.4800 - val_categorical_accuracy: 0.9071 - 420ms/epoch - 9ms/step
Epoch 1108/1500
49/49 - 0s - loss: 0.0676 - categorical_accuracy: 0.9758 - val_loss: 0.4661 - val_categorical_accuracy: 0.9113 - 424ms/epoch - 9ms/step
Epoch 1109/1500
49/49 - 0s - loss: 0.1393 - categorical_accuracy: 0.9594 - val_loss: 0.4707 - val_categorical_accuracy: 0.8912 - 400ms/epoch - 8ms/step
Epoch 1110/1500
49/49 - 0s - loss: 0.0698 - categorical_accuracy: 0.9752 - val_loss: 0.4578 - val_categorical_accuracy: 0.9075 - 390ms/epoch - 8ms/step
Epoch 1111/1500
49/49 - 0s - loss: 0.0580 - categorical_accuracy: 0.9792 - val_loss: 0.5701 - val_categorical_accuracy: 0.8737 - 390ms/epoch - 8ms/step
Epoch 1112/1500
49/49 - 0s - loss: 0.0835 - categorical_accuracy: 0.9712 - val_loss: 0.4694 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1113/1500
49/49 - 0s - loss: 0.0604 - categorical_accuracy: 0.9783 - val_loss: 0.4864 - val_categorical_accuracy: 0.9043 - 395ms/epoch - 8ms/step
Epoch 1114/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9791 - val_loss: 0.5155 - val_categorical_accuracy: 0.9009 - 390ms/epoch - 8ms/step
Epoch 1115/1500
49/49 - 0s - loss: 0.2142 - categorical_accuracy: 0.9451 - val_loss: 0.4269 - val_categorical_accuracy: 0.9108 - 390ms/epoch - 8ms/step
Epoch 1116/1500
49/49 - 0s - loss: 0.0587 - categorical_accuracy: 0.9789 - val_loss: 0.4495 - val_categorical_accuracy: 0.9117 - 410ms/epoch - 8ms/step
Epoch 1117/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9788 - val_loss: 0.4469 - val_categorical_accuracy: 0.9142 - 420ms/epoch - 9ms/step
Epoch 1118/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9792 - val_loss: 0.4476 - val_categorical_accuracy: 0.9160 - 395ms/epoch - 8ms/step
Epoch 1119/1500
49/49 - 0s - loss: 0.0589 - categorical_accuracy: 0.9788 - val_loss: 0.4619 - val_categorical_accuracy: 0.9120 - 400ms/epoch - 8ms/step
Epoch 1120/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9794 - val_loss: 0.4678 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1121/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9793 - val_loss: 0.4959 - val_categorical_accuracy: 0.9059 - 390ms/epoch - 8ms/step
Epoch 1122/1500
49/49 - 0s - loss: 0.0734 - categorical_accuracy: 0.9738 - val_loss: 0.4751 - val_categorical_accuracy: 0.9099 - 420ms/epoch - 9ms/step
Epoch 1123/1500
49/49 - 0s - loss: 0.0591 - categorical_accuracy: 0.9786 - val_loss: 0.4591 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1124/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9783 - val_loss: 0.4669 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 1125/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9794 - val_loss: 0.4799 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 1126/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9794 - val_loss: 0.4691 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1127/1500
49/49 - 0s - loss: 0.1445 - categorical_accuracy: 0.9553 - val_loss: 0.4685 - val_categorical_accuracy: 0.9040 - 390ms/epoch - 8ms/step
Epoch 1128/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9787 - val_loss: 0.4414 - val_categorical_accuracy: 0.9160 - 430ms/epoch - 9ms/step
Epoch 1129/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9793 - val_loss: 0.4924 - val_categorical_accuracy: 0.9091 - 400ms/epoch - 8ms/step
Epoch 1130/1500
49/49 - 0s - loss: 0.0566 - categorical_accuracy: 0.9798 - val_loss: 0.4777 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1131/1500
49/49 - 0s - loss: 0.0596 - categorical_accuracy: 0.9783 - val_loss: 0.4726 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1132/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9794 - val_loss: 0.4732 - val_categorical_accuracy: 0.9099 - 390ms/epoch - 8ms/step
Epoch 1133/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9790 - val_loss: 0.4731 - val_categorical_accuracy: 0.9134 - 384ms/epoch - 8ms/step
Epoch 1134/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.4819 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 1135/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9798 - val_loss: 0.5012 - val_categorical_accuracy: 0.9088 - 400ms/epoch - 8ms/step
Epoch 1136/1500
49/49 - 0s - loss: 0.1929 - categorical_accuracy: 0.9476 - val_loss: 0.4150 - val_categorical_accuracy: 0.9057 - 390ms/epoch - 8ms/step
Epoch 1137/1500
49/49 - 0s - loss: 0.0656 - categorical_accuracy: 0.9769 - val_loss: 0.4580 - val_categorical_accuracy: 0.9086 - 416ms/epoch - 8ms/step
Epoch 1138/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9795 - val_loss: 0.4525 - val_categorical_accuracy: 0.9138 - 430ms/epoch - 9ms/step
Epoch 1139/1500
49/49 - 0s - loss: 0.0628 - categorical_accuracy: 0.9776 - val_loss: 0.5896 - val_categorical_accuracy: 0.8801 - 397ms/epoch - 8ms/step
Epoch 1140/1500
49/49 - 0s - loss: 0.0666 - categorical_accuracy: 0.9760 - val_loss: 0.4778 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 1141/1500
49/49 - 0s - loss: 0.0570 - categorical_accuracy: 0.9797 - val_loss: 0.4709 - val_categorical_accuracy: 0.9123 - 400ms/epoch - 8ms/step
Epoch 1142/1500
49/49 - 0s - loss: 0.0614 - categorical_accuracy: 0.9774 - val_loss: 0.4607 - val_categorical_accuracy: 0.9173 - 400ms/epoch - 8ms/step
Epoch 1143/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9794 - val_loss: 0.4792 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1144/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9791 - val_loss: 0.4696 - val_categorical_accuracy: 0.9139 - 400ms/epoch - 8ms/step
Epoch 1145/1500
49/49 - 0s - loss: 0.0622 - categorical_accuracy: 0.9776 - val_loss: 0.4678 - val_categorical_accuracy: 0.9133 - 410ms/epoch - 8ms/step
Epoch 1146/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9792 - val_loss: 0.4859 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1147/1500
49/49 - 0s - loss: 0.4290 - categorical_accuracy: 0.9136 - val_loss: 0.5833 - val_categorical_accuracy: 0.8026 - 400ms/epoch - 8ms/step
Epoch 1148/1500
49/49 - 0s - loss: 0.1874 - categorical_accuracy: 0.9326 - val_loss: 0.4168 - val_categorical_accuracy: 0.9018 - 400ms/epoch - 8ms/step
Epoch 1149/1500
49/49 - 0s - loss: 0.0754 - categorical_accuracy: 0.9740 - val_loss: 0.4198 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 1150/1500
49/49 - 0s - loss: 0.0623 - categorical_accuracy: 0.9780 - val_loss: 0.4355 - val_categorical_accuracy: 0.9122 - 410ms/epoch - 8ms/step
Epoch 1151/1500
49/49 - 0s - loss: 0.0593 - categorical_accuracy: 0.9793 - val_loss: 0.5116 - val_categorical_accuracy: 0.8945 - 400ms/epoch - 8ms/step
Epoch 1152/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9768 - val_loss: 0.4724 - val_categorical_accuracy: 0.9061 - 400ms/epoch - 8ms/step
Epoch 1153/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9791 - val_loss: 0.4742 - val_categorical_accuracy: 0.9078 - 394ms/epoch - 8ms/step
Epoch 1154/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9788 - val_loss: 0.4625 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1155/1500
49/49 - 0s - loss: 0.0564 - categorical_accuracy: 0.9793 - val_loss: 0.4970 - val_categorical_accuracy: 0.9044 - 410ms/epoch - 8ms/step
Epoch 1156/1500
49/49 - 0s - loss: 0.0671 - categorical_accuracy: 0.9757 - val_loss: 0.5012 - val_categorical_accuracy: 0.9071 - 420ms/epoch - 9ms/step
Epoch 1157/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9790 - val_loss: 0.4633 - val_categorical_accuracy: 0.9135 - 390ms/epoch - 8ms/step
Epoch 1158/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9796 - val_loss: 0.4977 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1159/1500
49/49 - 0s - loss: 0.0668 - categorical_accuracy: 0.9753 - val_loss: 0.5100 - val_categorical_accuracy: 0.8997 - 390ms/epoch - 8ms/step
Epoch 1160/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9789 - val_loss: 0.4746 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 1161/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9792 - val_loss: 0.4930 - val_categorical_accuracy: 0.9085 - 410ms/epoch - 8ms/step
Epoch 1162/1500
49/49 - 0s - loss: 0.0660 - categorical_accuracy: 0.9761 - val_loss: 0.5086 - val_categorical_accuracy: 0.9036 - 430ms/epoch - 9ms/step
Epoch 1163/1500
49/49 - 1s - loss: 0.1751 - categorical_accuracy: 0.9523 - val_loss: 0.4383 - val_categorical_accuracy: 0.9111 - 565ms/epoch - 12ms/step
Epoch 1164/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9801 - val_loss: 0.4705 - val_categorical_accuracy: 0.9072 - 400ms/epoch - 8ms/step
Epoch 1165/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9792 - val_loss: 0.4779 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1166/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9802 - val_loss: 0.4738 - val_categorical_accuracy: 0.9083 - 390ms/epoch - 8ms/step
Epoch 1167/1500
49/49 - 0s - loss: 0.0642 - categorical_accuracy: 0.9767 - val_loss: 0.4643 - val_categorical_accuracy: 0.9127 - 390ms/epoch - 8ms/step
Epoch 1168/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.4970 - val_categorical_accuracy: 0.9077 - 424ms/epoch - 9ms/step
Epoch 1169/1500
49/49 - 0s - loss: 0.0584 - categorical_accuracy: 0.9786 - val_loss: 0.5072 - val_categorical_accuracy: 0.9041 - 430ms/epoch - 9ms/step
Epoch 1170/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9759 - val_loss: 0.4737 - val_categorical_accuracy: 0.9118 - 430ms/epoch - 9ms/step
Epoch 1171/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.5251 - val_categorical_accuracy: 0.8999 - 390ms/epoch - 8ms/step
Epoch 1172/1500
49/49 - 0s - loss: 0.1585 - categorical_accuracy: 0.9564 - val_loss: 0.4730 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1173/1500
49/49 - 0s - loss: 0.0618 - categorical_accuracy: 0.9782 - val_loss: 0.4729 - val_categorical_accuracy: 0.9082 - 392ms/epoch - 8ms/step
Epoch 1174/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9794 - val_loss: 0.4718 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1175/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.4743 - val_categorical_accuracy: 0.9142 - 390ms/epoch - 8ms/step
Epoch 1176/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9804 - val_loss: 0.4770 - val_categorical_accuracy: 0.9128 - 390ms/epoch - 8ms/step
Epoch 1177/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9800 - val_loss: 0.4979 - val_categorical_accuracy: 0.9048 - 420ms/epoch - 9ms/step
Epoch 1178/1500
49/49 - 0s - loss: 0.2030 - categorical_accuracy: 0.9459 - val_loss: 0.4281 - val_categorical_accuracy: 0.9126 - 404ms/epoch - 8ms/step
Epoch 1179/1500
49/49 - 0s - loss: 0.0582 - categorical_accuracy: 0.9794 - val_loss: 0.4508 - val_categorical_accuracy: 0.9114 - 400ms/epoch - 8ms/step
Epoch 1180/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9798 - val_loss: 0.4529 - val_categorical_accuracy: 0.9150 - 400ms/epoch - 8ms/step
Epoch 1181/1500
49/49 - 0s - loss: 0.0578 - categorical_accuracy: 0.9790 - val_loss: 0.4629 - val_categorical_accuracy: 0.9099 - 400ms/epoch - 8ms/step
Epoch 1182/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9800 - val_loss: 0.4799 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1183/1500
49/49 - 0s - loss: 0.0579 - categorical_accuracy: 0.9784 - val_loss: 0.4729 - val_categorical_accuracy: 0.9128 - 400ms/epoch - 8ms/step
Epoch 1184/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9803 - val_loss: 0.5049 - val_categorical_accuracy: 0.9051 - 400ms/epoch - 8ms/step
Epoch 1185/1500
49/49 - 0s - loss: 0.1322 - categorical_accuracy: 0.9627 - val_loss: 0.4609 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1186/1500
49/49 - 0s - loss: 0.0569 - categorical_accuracy: 0.9793 - val_loss: 0.4641 - val_categorical_accuracy: 0.9084 - 390ms/epoch - 8ms/step
Epoch 1187/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9797 - val_loss: 0.4756 - val_categorical_accuracy: 0.9118 - 400ms/epoch - 8ms/step
Epoch 1188/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9797 - val_loss: 0.5021 - val_categorical_accuracy: 0.9066 - 424ms/epoch - 9ms/step
Epoch 1189/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9787 - val_loss: 0.4765 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 1190/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9797 - val_loss: 0.4767 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1191/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9802 - val_loss: 0.4927 - val_categorical_accuracy: 0.9107 - 400ms/epoch - 8ms/step
Epoch 1192/1500
49/49 - 0s - loss: 0.0610 - categorical_accuracy: 0.9776 - val_loss: 0.4746 - val_categorical_accuracy: 0.9152 - 390ms/epoch - 8ms/step
Epoch 1193/1500
49/49 - 0s - loss: 0.0625 - categorical_accuracy: 0.9773 - val_loss: 0.4769 - val_categorical_accuracy: 0.9085 - 394ms/epoch - 8ms/step
Epoch 1194/1500
49/49 - 0s - loss: 0.1488 - categorical_accuracy: 0.9582 - val_loss: 0.4415 - val_categorical_accuracy: 0.9002 - 420ms/epoch - 9ms/step
Epoch 1195/1500
49/49 - 0s - loss: 0.0661 - categorical_accuracy: 0.9762 - val_loss: 0.4652 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1196/1500
49/49 - 0s - loss: 0.0563 - categorical_accuracy: 0.9798 - val_loss: 0.4662 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1197/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9790 - val_loss: 0.4870 - val_categorical_accuracy: 0.9076 - 400ms/epoch - 8ms/step
Epoch 1198/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9800 - val_loss: 0.4616 - val_categorical_accuracy: 0.9151 - 400ms/epoch - 8ms/step
Epoch 1199/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9803 - val_loss: 0.4785 - val_categorical_accuracy: 0.9114 - 420ms/epoch - 9ms/step
Epoch 1200/1500
49/49 - 0s - loss: 0.0590 - categorical_accuracy: 0.9785 - val_loss: 0.7107 - val_categorical_accuracy: 0.8614 - 400ms/epoch - 8ms/step
Epoch 1201/1500
49/49 - 0s - loss: 0.1876 - categorical_accuracy: 0.9503 - val_loss: 0.4410 - val_categorical_accuracy: 0.9147 - 400ms/epoch - 8ms/step
Epoch 1202/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9797 - val_loss: 0.4809 - val_categorical_accuracy: 0.9045 - 390ms/epoch - 8ms/step
Epoch 1203/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9798 - val_loss: 0.4661 - val_categorical_accuracy: 0.9120 - 400ms/epoch - 8ms/step
Epoch 1204/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9796 - val_loss: 0.4672 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1205/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9800 - val_loss: 0.4676 - val_categorical_accuracy: 0.9173 - 390ms/epoch - 8ms/step
Epoch 1206/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9801 - val_loss: 0.4670 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1207/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9808 - val_loss: 0.5025 - val_categorical_accuracy: 0.9059 - 410ms/epoch - 8ms/step
Epoch 1208/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9800 - val_loss: 0.4829 - val_categorical_accuracy: 0.9152 - 430ms/epoch - 9ms/step
Epoch 1209/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9789 - val_loss: 0.4769 - val_categorical_accuracy: 0.9152 - 390ms/epoch - 8ms/step
Epoch 1210/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9809 - val_loss: 0.4762 - val_categorical_accuracy: 0.9141 - 400ms/epoch - 8ms/step
Epoch 1211/1500
49/49 - 0s - loss: 0.1747 - categorical_accuracy: 0.9556 - val_loss: 0.4641 - val_categorical_accuracy: 0.8885 - 390ms/epoch - 8ms/step
Epoch 1212/1500
49/49 - 0s - loss: 0.0697 - categorical_accuracy: 0.9751 - val_loss: 0.4491 - val_categorical_accuracy: 0.9121 - 400ms/epoch - 8ms/step
Epoch 1213/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9801 - val_loss: 0.4660 - val_categorical_accuracy: 0.9128 - 400ms/epoch - 8ms/step
Epoch 1214/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9807 - val_loss: 0.4741 - val_categorical_accuracy: 0.9111 - 419ms/epoch - 9ms/step
Epoch 1215/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9796 - val_loss: 0.4754 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 1216/1500
49/49 - 0s - loss: 0.0586 - categorical_accuracy: 0.9787 - val_loss: 0.4796 - val_categorical_accuracy: 0.9125 - 400ms/epoch - 8ms/step
Epoch 1217/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9803 - val_loss: 0.4753 - val_categorical_accuracy: 0.9152 - 400ms/epoch - 8ms/step
Epoch 1218/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9772 - val_loss: 0.4856 - val_categorical_accuracy: 0.9102 - 400ms/epoch - 8ms/step
Epoch 1219/1500
49/49 - 0s - loss: 0.1715 - categorical_accuracy: 0.9516 - val_loss: 0.4280 - val_categorical_accuracy: 0.9106 - 400ms/epoch - 8ms/step
Epoch 1220/1500
49/49 - 0s - loss: 0.0606 - categorical_accuracy: 0.9782 - val_loss: 0.4649 - val_categorical_accuracy: 0.9089 - 400ms/epoch - 8ms/step
Epoch 1221/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9801 - val_loss: 0.4725 - val_categorical_accuracy: 0.9069 - 400ms/epoch - 8ms/step
Epoch 1222/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9800 - val_loss: 0.5006 - val_categorical_accuracy: 0.9053 - 400ms/epoch - 8ms/step
Epoch 1223/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9792 - val_loss: 0.4810 - val_categorical_accuracy: 0.9109 - 400ms/epoch - 8ms/step
Epoch 1224/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9798 - val_loss: 0.4815 - val_categorical_accuracy: 0.9110 - 400ms/epoch - 8ms/step
Epoch 1225/1500
49/49 - 0s - loss: 0.0627 - categorical_accuracy: 0.9771 - val_loss: 0.5071 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1226/1500
49/49 - 0s - loss: 0.0574 - categorical_accuracy: 0.9790 - val_loss: 0.4800 - val_categorical_accuracy: 0.9139 - 390ms/epoch - 8ms/step
Epoch 1227/1500
49/49 - 0s - loss: 0.0558 - categorical_accuracy: 0.9796 - val_loss: 0.4939 - val_categorical_accuracy: 0.9095 - 400ms/epoch - 8ms/step
Epoch 1228/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9800 - val_loss: 0.4735 - val_categorical_accuracy: 0.9163 - 414ms/epoch - 8ms/step
Epoch 1229/1500
49/49 - 0s - loss: 0.1784 - categorical_accuracy: 0.9546 - val_loss: 0.4112 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 1230/1500
49/49 - 0s - loss: 0.0598 - categorical_accuracy: 0.9788 - val_loss: 0.4483 - val_categorical_accuracy: 0.9158 - 390ms/epoch - 8ms/step
Epoch 1231/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9811 - val_loss: 0.4719 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1232/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9790 - val_loss: 0.4863 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1233/1500
49/49 - 0s - loss: 0.0595 - categorical_accuracy: 0.9790 - val_loss: 0.4827 - val_categorical_accuracy: 0.9079 - 414ms/epoch - 8ms/step
Epoch 1234/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9798 - val_loss: 0.5202 - val_categorical_accuracy: 0.9013 - 430ms/epoch - 9ms/step
Epoch 1235/1500
49/49 - 0s - loss: 0.0686 - categorical_accuracy: 0.9752 - val_loss: 0.4808 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1236/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.4954 - val_categorical_accuracy: 0.9142 - 400ms/epoch - 8ms/step
Epoch 1237/1500
49/49 - 0s - loss: 0.0565 - categorical_accuracy: 0.9792 - val_loss: 0.4935 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1238/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9788 - val_loss: 0.4914 - val_categorical_accuracy: 0.9113 - 388ms/epoch - 8ms/step
Epoch 1239/1500
49/49 - 0s - loss: 0.0554 - categorical_accuracy: 0.9795 - val_loss: 0.4919 - val_categorical_accuracy: 0.9112 - 400ms/epoch - 8ms/step
Epoch 1240/1500
49/49 - 0s - loss: 0.1254 - categorical_accuracy: 0.9624 - val_loss: 0.4839 - val_categorical_accuracy: 0.9082 - 390ms/epoch - 8ms/step
Epoch 1241/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9800 - val_loss: 0.5066 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1242/1500
49/49 - 0s - loss: 0.0549 - categorical_accuracy: 0.9799 - val_loss: 0.5349 - val_categorical_accuracy: 0.9034 - 390ms/epoch - 8ms/step
Epoch 1243/1500
49/49 - 0s - loss: 0.0572 - categorical_accuracy: 0.9792 - val_loss: 0.4745 - val_categorical_accuracy: 0.9161 - 394ms/epoch - 8ms/step
Epoch 1244/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9793 - val_loss: 0.5512 - val_categorical_accuracy: 0.8982 - 430ms/epoch - 9ms/step
Epoch 1245/1500
49/49 - 0s - loss: 0.0681 - categorical_accuracy: 0.9760 - val_loss: 0.9056 - val_categorical_accuracy: 0.8430 - 390ms/epoch - 8ms/step
Epoch 1246/1500
49/49 - 0s - loss: 0.1357 - categorical_accuracy: 0.9599 - val_loss: 0.4730 - val_categorical_accuracy: 0.9112 - 390ms/epoch - 8ms/step
Epoch 1247/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9805 - val_loss: 0.4880 - val_categorical_accuracy: 0.9129 - 400ms/epoch - 8ms/step
Epoch 1248/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9800 - val_loss: 0.5311 - val_categorical_accuracy: 0.9026 - 394ms/epoch - 8ms/step
Epoch 1249/1500
49/49 - 0s - loss: 0.0585 - categorical_accuracy: 0.9786 - val_loss: 0.5182 - val_categorical_accuracy: 0.9040 - 420ms/epoch - 9ms/step
Epoch 1250/1500
49/49 - 0s - loss: 0.1676 - categorical_accuracy: 0.9559 - val_loss: 0.4631 - val_categorical_accuracy: 0.9105 - 430ms/epoch - 9ms/step
Epoch 1251/1500
49/49 - 0s - loss: 0.0555 - categorical_accuracy: 0.9802 - val_loss: 0.4618 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1252/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9809 - val_loss: 0.4970 - val_categorical_accuracy: 0.9086 - 390ms/epoch - 8ms/step
Epoch 1253/1500
49/49 - 0s - loss: 0.0674 - categorical_accuracy: 0.9752 - val_loss: 0.4703 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 1254/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9802 - val_loss: 0.4805 - val_categorical_accuracy: 0.9122 - 390ms/epoch - 8ms/step
Epoch 1255/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9809 - val_loss: 0.4797 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1256/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9784 - val_loss: 0.6478 - val_categorical_accuracy: 0.8761 - 390ms/epoch - 8ms/step
Epoch 1257/1500
49/49 - 0s - loss: 0.1198 - categorical_accuracy: 0.9650 - val_loss: 0.4635 - val_categorical_accuracy: 0.9140 - 420ms/epoch - 9ms/step
Epoch 1258/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9803 - val_loss: 0.5052 - val_categorical_accuracy: 0.9040 - 430ms/epoch - 9ms/step
Epoch 1259/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.4910 - val_categorical_accuracy: 0.9114 - 390ms/epoch - 8ms/step
Epoch 1260/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9803 - val_loss: 0.5023 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1261/1500
49/49 - 0s - loss: 0.0641 - categorical_accuracy: 0.9767 - val_loss: 0.5045 - val_categorical_accuracy: 0.9129 - 390ms/epoch - 8ms/step
Epoch 1262/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9810 - val_loss: 0.4994 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1263/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9796 - val_loss: 0.6001 - val_categorical_accuracy: 0.8958 - 394ms/epoch - 8ms/step
Epoch 1264/1500
49/49 - 0s - loss: 0.1938 - categorical_accuracy: 0.9487 - val_loss: 0.4409 - val_categorical_accuracy: 0.9133 - 410ms/epoch - 8ms/step
Epoch 1265/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9800 - val_loss: 0.4678 - val_categorical_accuracy: 0.9127 - 430ms/epoch - 9ms/step
Epoch 1266/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9804 - val_loss: 0.4739 - val_categorical_accuracy: 0.9103 - 390ms/epoch - 8ms/step
Epoch 1267/1500
49/49 - 0s - loss: 0.0629 - categorical_accuracy: 0.9773 - val_loss: 0.4787 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1268/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9814 - val_loss: 0.4677 - val_categorical_accuracy: 0.9158 - 394ms/epoch - 8ms/step
Epoch 1269/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9810 - val_loss: 0.4830 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1270/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9806 - val_loss: 0.4943 - val_categorical_accuracy: 0.9140 - 390ms/epoch - 8ms/step
Epoch 1271/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9813 - val_loss: 0.4810 - val_categorical_accuracy: 0.9158 - 410ms/epoch - 8ms/step
Epoch 1272/1500
49/49 - 0s - loss: 0.0562 - categorical_accuracy: 0.9799 - val_loss: 0.5153 - val_categorical_accuracy: 0.9091 - 430ms/epoch - 9ms/step
Epoch 1273/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9800 - val_loss: 0.5144 - val_categorical_accuracy: 0.9082 - 394ms/epoch - 8ms/step
Epoch 1274/1500
49/49 - 0s - loss: 0.0654 - categorical_accuracy: 0.9760 - val_loss: 0.5325 - val_categorical_accuracy: 0.9056 - 400ms/epoch - 8ms/step
Epoch 1275/1500
49/49 - 0s - loss: 0.0626 - categorical_accuracy: 0.9772 - val_loss: 0.5763 - val_categorical_accuracy: 0.8910 - 400ms/epoch - 8ms/step
Epoch 1276/1500
49/49 - 0s - loss: 0.0599 - categorical_accuracy: 0.9780 - val_loss: 0.5010 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1277/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9803 - val_loss: 0.5348 - val_categorical_accuracy: 0.9047 - 390ms/epoch - 8ms/step
Epoch 1278/1500
49/49 - 0s - loss: 0.1689 - categorical_accuracy: 0.9569 - val_loss: 0.4929 - val_categorical_accuracy: 0.9035 - 394ms/epoch - 8ms/step
Epoch 1279/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9782 - val_loss: 0.4921 - val_categorical_accuracy: 0.9085 - 385ms/epoch - 8ms/step
Epoch 1280/1500
49/49 - 0s - loss: 0.0533 - categorical_accuracy: 0.9809 - val_loss: 0.5096 - val_categorical_accuracy: 0.9082 - 410ms/epoch - 8ms/step
Epoch 1281/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9795 - val_loss: 0.4844 - val_categorical_accuracy: 0.9132 - 427ms/epoch - 9ms/step
Epoch 1282/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9811 - val_loss: 0.4991 - val_categorical_accuracy: 0.9124 - 390ms/epoch - 8ms/step
Epoch 1283/1500
49/49 - 0s - loss: 0.0546 - categorical_accuracy: 0.9804 - val_loss: 0.4840 - val_categorical_accuracy: 0.9176 - 394ms/epoch - 8ms/step
Epoch 1284/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9808 - val_loss: 0.4969 - val_categorical_accuracy: 0.9123 - 395ms/epoch - 8ms/step
Epoch 1285/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9805 - val_loss: 0.4794 - val_categorical_accuracy: 0.9167 - 400ms/epoch - 8ms/step
Epoch 1286/1500
49/49 - 0s - loss: 0.0507 - categorical_accuracy: 0.9817 - val_loss: 0.5022 - val_categorical_accuracy: 0.9137 - 420ms/epoch - 9ms/step
Epoch 1287/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9795 - val_loss: 0.5204 - val_categorical_accuracy: 0.9077 - 440ms/epoch - 9ms/step
Epoch 1288/1500
49/49 - 0s - loss: 0.1556 - categorical_accuracy: 0.9561 - val_loss: 0.4679 - val_categorical_accuracy: 0.9033 - 390ms/epoch - 8ms/step
Epoch 1289/1500
49/49 - 0s - loss: 0.0601 - categorical_accuracy: 0.9783 - val_loss: 0.4729 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1290/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.5269 - val_categorical_accuracy: 0.9036 - 390ms/epoch - 8ms/step
Epoch 1291/1500
49/49 - 0s - loss: 0.0567 - categorical_accuracy: 0.9797 - val_loss: 0.4874 - val_categorical_accuracy: 0.9133 - 390ms/epoch - 8ms/step
Epoch 1292/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9807 - val_loss: 0.5026 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1293/1500
49/49 - 0s - loss: 0.0524 - categorical_accuracy: 0.9807 - val_loss: 0.4921 - val_categorical_accuracy: 0.9144 - 400ms/epoch - 8ms/step
Epoch 1294/1500
49/49 - 0s - loss: 0.0673 - categorical_accuracy: 0.9753 - val_loss: 0.4889 - val_categorical_accuracy: 0.9131 - 390ms/epoch - 8ms/step
Epoch 1295/1500
49/49 - 0s - loss: 0.0724 - categorical_accuracy: 0.9746 - val_loss: 0.4966 - val_categorical_accuracy: 0.9125 - 420ms/epoch - 9ms/step
Epoch 1296/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9796 - val_loss: 0.4812 - val_categorical_accuracy: 0.9166 - 400ms/epoch - 8ms/step
Epoch 1297/1500
49/49 - 0s - loss: 0.0548 - categorical_accuracy: 0.9800 - val_loss: 0.4916 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1298/1500
49/49 - 0s - loss: 0.0535 - categorical_accuracy: 0.9807 - val_loss: 0.5111 - val_categorical_accuracy: 0.9075 - 395ms/epoch - 8ms/step
Epoch 1299/1500
49/49 - 0s - loss: 0.0615 - categorical_accuracy: 0.9777 - val_loss: 0.5108 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1300/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9810 - val_loss: 0.5139 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1301/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9804 - val_loss: 0.4957 - val_categorical_accuracy: 0.9145 - 420ms/epoch - 9ms/step
Epoch 1302/1500
49/49 - 0s - loss: 0.0634 - categorical_accuracy: 0.9769 - val_loss: 0.4987 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1303/1500
49/49 - 0s - loss: 0.0540 - categorical_accuracy: 0.9800 - val_loss: 0.5058 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 1304/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9801 - val_loss: 0.4990 - val_categorical_accuracy: 0.9139 - 390ms/epoch - 8ms/step
Epoch 1305/1500
49/49 - 0s - loss: 0.0612 - categorical_accuracy: 0.9774 - val_loss: 0.5248 - val_categorical_accuracy: 0.9055 - 390ms/epoch - 8ms/step
Epoch 1306/1500
49/49 - 0s - loss: 0.2434 - categorical_accuracy: 0.9413 - val_loss: 0.4543 - val_categorical_accuracy: 0.8829 - 400ms/epoch - 8ms/step
Epoch 1307/1500
49/49 - 0s - loss: 0.0778 - categorical_accuracy: 0.9721 - val_loss: 0.4607 - val_categorical_accuracy: 0.9132 - 410ms/epoch - 8ms/step
Epoch 1308/1500
49/49 - 0s - loss: 0.0547 - categorical_accuracy: 0.9803 - val_loss: 0.4612 - val_categorical_accuracy: 0.9138 - 430ms/epoch - 9ms/step
Epoch 1309/1500
49/49 - 0s - loss: 0.0556 - categorical_accuracy: 0.9802 - val_loss: 0.5027 - val_categorical_accuracy: 0.9072 - 390ms/epoch - 8ms/step
Epoch 1310/1500
49/49 - 0s - loss: 0.0528 - categorical_accuracy: 0.9807 - val_loss: 0.5011 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1311/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9807 - val_loss: 0.4917 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1312/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9809 - val_loss: 0.5090 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1313/1500
49/49 - 0s - loss: 0.0802 - categorical_accuracy: 0.9710 - val_loss: 0.5328 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 1314/1500
49/49 - 0s - loss: 0.0544 - categorical_accuracy: 0.9796 - val_loss: 0.5143 - val_categorical_accuracy: 0.9046 - 420ms/epoch - 9ms/step
Epoch 1315/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9798 - val_loss: 0.5312 - val_categorical_accuracy: 0.9073 - 430ms/epoch - 9ms/step
Epoch 1316/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9801 - val_loss: 0.4966 - val_categorical_accuracy: 0.9173 - 390ms/epoch - 8ms/step
Epoch 1317/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9799 - val_loss: 0.4911 - val_categorical_accuracy: 0.9157 - 390ms/epoch - 8ms/step
Epoch 1318/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9812 - val_loss: 0.5115 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1319/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9784 - val_loss: 0.5196 - val_categorical_accuracy: 0.9070 - 390ms/epoch - 8ms/step
Epoch 1320/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5405 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1321/1500
49/49 - 0s - loss: 0.2770 - categorical_accuracy: 0.9365 - val_loss: 0.4524 - val_categorical_accuracy: 0.9086 - 410ms/epoch - 8ms/step
Epoch 1322/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9804 - val_loss: 0.4729 - val_categorical_accuracy: 0.9107 - 420ms/epoch - 9ms/step
Epoch 1323/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9801 - val_loss: 0.4646 - val_categorical_accuracy: 0.9148 - 390ms/epoch - 8ms/step
Epoch 1324/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9817 - val_loss: 0.4972 - val_categorical_accuracy: 0.9097 - 390ms/epoch - 8ms/step
Epoch 1325/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9807 - val_loss: 0.4919 - val_categorical_accuracy: 0.9093 - 400ms/epoch - 8ms/step
Epoch 1326/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9805 - val_loss: 0.5108 - val_categorical_accuracy: 0.9104 - 390ms/epoch - 8ms/step
Epoch 1327/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9812 - val_loss: 0.5096 - val_categorical_accuracy: 0.9098 - 410ms/epoch - 8ms/step
Epoch 1328/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9807 - val_loss: 0.4981 - val_categorical_accuracy: 0.9138 - 444ms/epoch - 9ms/step
Epoch 1329/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9808 - val_loss: 0.5027 - val_categorical_accuracy: 0.9117 - 420ms/epoch - 9ms/step
Epoch 1330/1500
49/49 - 0s - loss: 0.0512 - categorical_accuracy: 0.9813 - val_loss: 0.5044 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1331/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9811 - val_loss: 0.5391 - val_categorical_accuracy: 0.8990 - 390ms/epoch - 8ms/step
Epoch 1332/1500
49/49 - 0s - loss: 0.0583 - categorical_accuracy: 0.9791 - val_loss: 0.5007 - val_categorical_accuracy: 0.9136 - 390ms/epoch - 8ms/step
Epoch 1333/1500
49/49 - 0s - loss: 0.0530 - categorical_accuracy: 0.9806 - val_loss: 0.5686 - val_categorical_accuracy: 0.8999 - 400ms/epoch - 8ms/step
Epoch 1334/1500
49/49 - 0s - loss: 0.1766 - categorical_accuracy: 0.9515 - val_loss: 0.4512 - val_categorical_accuracy: 0.9166 - 390ms/epoch - 8ms/step
Epoch 1335/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9808 - val_loss: 0.5155 - val_categorical_accuracy: 0.9037 - 390ms/epoch - 8ms/step
Epoch 1336/1500
49/49 - 0s - loss: 0.0573 - categorical_accuracy: 0.9794 - val_loss: 0.4878 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1337/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9801 - val_loss: 0.5086 - val_categorical_accuracy: 0.9098 - 400ms/epoch - 8ms/step
Epoch 1338/1500
49/49 - 0s - loss: 0.0520 - categorical_accuracy: 0.9810 - val_loss: 0.5437 - val_categorical_accuracy: 0.9014 - 400ms/epoch - 8ms/step
Epoch 1339/1500
49/49 - 0s - loss: 0.1856 - categorical_accuracy: 0.9518 - val_loss: 0.4487 - val_categorical_accuracy: 0.9118 - 390ms/epoch - 8ms/step
Epoch 1340/1500
49/49 - 0s - loss: 0.0551 - categorical_accuracy: 0.9805 - val_loss: 0.4819 - val_categorical_accuracy: 0.9079 - 420ms/epoch - 9ms/step
Epoch 1341/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.4947 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1342/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5003 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1343/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5164 - val_categorical_accuracy: 0.9059 - 394ms/epoch - 8ms/step
Epoch 1344/1500
49/49 - 0s - loss: 0.0616 - categorical_accuracy: 0.9776 - val_loss: 0.5435 - val_categorical_accuracy: 0.9010 - 390ms/epoch - 8ms/step
Epoch 1345/1500
49/49 - 0s - loss: 0.1521 - categorical_accuracy: 0.9581 - val_loss: 0.4700 - val_categorical_accuracy: 0.9061 - 390ms/epoch - 8ms/step
Epoch 1346/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9812 - val_loss: 0.5015 - val_categorical_accuracy: 0.9069 - 410ms/epoch - 8ms/step
Epoch 1347/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9806 - val_loss: 0.4824 - val_categorical_accuracy: 0.9141 - 390ms/epoch - 8ms/step
Epoch 1348/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.4872 - val_categorical_accuracy: 0.9123 - 395ms/epoch - 8ms/step
Epoch 1349/1500
49/49 - 0s - loss: 0.0603 - categorical_accuracy: 0.9782 - val_loss: 0.5216 - val_categorical_accuracy: 0.9041 - 390ms/epoch - 8ms/step
Epoch 1350/1500
49/49 - 0s - loss: 0.0557 - categorical_accuracy: 0.9800 - val_loss: 0.5176 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1351/1500
49/49 - 0s - loss: 0.0772 - categorical_accuracy: 0.9741 - val_loss: 0.4739 - val_categorical_accuracy: 0.9162 - 410ms/epoch - 8ms/step
Epoch 1352/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9817 - val_loss: 0.5003 - val_categorical_accuracy: 0.9100 - 430ms/epoch - 9ms/step
Epoch 1353/1500
49/49 - 0s - loss: 0.0501 - categorical_accuracy: 0.9816 - val_loss: 0.4759 - val_categorical_accuracy: 0.9193 - 424ms/epoch - 9ms/step
Epoch 1354/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9809 - val_loss: 0.4918 - val_categorical_accuracy: 0.9147 - 390ms/epoch - 8ms/step
Epoch 1355/1500
49/49 - 0s - loss: 0.1481 - categorical_accuracy: 0.9586 - val_loss: 0.4754 - val_categorical_accuracy: 0.9121 - 390ms/epoch - 8ms/step
Epoch 1356/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9799 - val_loss: 0.5096 - val_categorical_accuracy: 0.9071 - 390ms/epoch - 8ms/step
Epoch 1357/1500
49/49 - 0s - loss: 0.0536 - categorical_accuracy: 0.9806 - val_loss: 0.5062 - val_categorical_accuracy: 0.9062 - 390ms/epoch - 8ms/step
Epoch 1358/1500
49/49 - 0s - loss: 0.0600 - categorical_accuracy: 0.9785 - val_loss: 0.5194 - val_categorical_accuracy: 0.9001 - 394ms/epoch - 8ms/step
Epoch 1359/1500
49/49 - 0s - loss: 0.0559 - categorical_accuracy: 0.9796 - val_loss: 0.4909 - val_categorical_accuracy: 0.9134 - 400ms/epoch - 8ms/step
Epoch 1360/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9818 - val_loss: 0.5746 - val_categorical_accuracy: 0.8930 - 420ms/epoch - 9ms/step
Epoch 1361/1500
49/49 - 0s - loss: 0.0779 - categorical_accuracy: 0.9721 - val_loss: 0.4909 - val_categorical_accuracy: 0.9150 - 400ms/epoch - 8ms/step
Epoch 1362/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9812 - val_loss: 0.4830 - val_categorical_accuracy: 0.9161 - 400ms/epoch - 8ms/step
Epoch 1363/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9810 - val_loss: 0.4986 - val_categorical_accuracy: 0.9151 - 394ms/epoch - 8ms/step
Epoch 1364/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9803 - val_loss: 0.5183 - val_categorical_accuracy: 0.9066 - 390ms/epoch - 8ms/step
Epoch 1365/1500
49/49 - 0s - loss: 0.0550 - categorical_accuracy: 0.9802 - val_loss: 0.5129 - val_categorical_accuracy: 0.9116 - 410ms/epoch - 8ms/step
Epoch 1366/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9814 - val_loss: 0.5100 - val_categorical_accuracy: 0.9100 - 390ms/epoch - 8ms/step
Epoch 1367/1500
49/49 - 0s - loss: 0.0712 - categorical_accuracy: 0.9745 - val_loss: 0.5428 - val_categorical_accuracy: 0.9028 - 390ms/epoch - 8ms/step
Epoch 1368/1500
49/49 - 0s - loss: 0.0541 - categorical_accuracy: 0.9799 - val_loss: 0.5092 - val_categorical_accuracy: 0.9098 - 394ms/epoch - 8ms/step
Epoch 1369/1500
49/49 - 0s - loss: 0.0552 - categorical_accuracy: 0.9797 - val_loss: 0.5379 - val_categorical_accuracy: 0.9078 - 400ms/epoch - 8ms/step
Epoch 1370/1500
49/49 - 0s - loss: 0.0519 - categorical_accuracy: 0.9809 - val_loss: 0.5499 - val_categorical_accuracy: 0.9004 - 410ms/epoch - 8ms/step
Epoch 1371/1500
49/49 - 0s - loss: 0.1490 - categorical_accuracy: 0.9585 - val_loss: 0.5000 - val_categorical_accuracy: 0.9065 - 430ms/epoch - 9ms/step
Epoch 1372/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9812 - val_loss: 0.5018 - val_categorical_accuracy: 0.9081 - 390ms/epoch - 8ms/step
Epoch 1373/1500
49/49 - 0s - loss: 0.0516 - categorical_accuracy: 0.9814 - val_loss: 0.4907 - val_categorical_accuracy: 0.9170 - 400ms/epoch - 8ms/step
Epoch 1374/1500
49/49 - 0s - loss: 0.0537 - categorical_accuracy: 0.9802 - val_loss: 0.5273 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1375/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5195 - val_categorical_accuracy: 0.9094 - 390ms/epoch - 8ms/step
Epoch 1376/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9808 - val_loss: 0.5264 - val_categorical_accuracy: 0.9117 - 390ms/epoch - 8ms/step
Epoch 1377/1500
49/49 - 0s - loss: 0.0575 - categorical_accuracy: 0.9788 - val_loss: 0.5066 - val_categorical_accuracy: 0.9132 - 420ms/epoch - 9ms/step
Epoch 1378/1500
49/49 - 0s - loss: 0.0543 - categorical_accuracy: 0.9798 - val_loss: 0.5159 - val_categorical_accuracy: 0.9101 - 394ms/epoch - 8ms/step
Epoch 1379/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9808 - val_loss: 0.5109 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1380/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9808 - val_loss: 0.5110 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1381/1500
49/49 - 0s - loss: 0.1308 - categorical_accuracy: 0.9650 - val_loss: 0.5944 - val_categorical_accuracy: 0.8655 - 390ms/epoch - 8ms/step
Epoch 1382/1500
49/49 - 0s - loss: 0.0714 - categorical_accuracy: 0.9747 - val_loss: 0.4866 - val_categorical_accuracy: 0.9126 - 390ms/epoch - 8ms/step
Epoch 1383/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9816 - val_loss: 0.5133 - val_categorical_accuracy: 0.9118 - 415ms/epoch - 8ms/step
Epoch 1384/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9805 - val_loss: 0.5274 - val_categorical_accuracy: 0.9088 - 430ms/epoch - 9ms/step
Epoch 1385/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9806 - val_loss: 0.5807 - val_categorical_accuracy: 0.8966 - 390ms/epoch - 8ms/step
Epoch 1386/1500
49/49 - 0s - loss: 0.0568 - categorical_accuracy: 0.9794 - val_loss: 0.5415 - val_categorical_accuracy: 0.9043 - 400ms/epoch - 8ms/step
Epoch 1387/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9801 - val_loss: 0.5116 - val_categorical_accuracy: 0.9108 - 400ms/epoch - 8ms/step
Epoch 1388/1500
49/49 - 0s - loss: 0.0498 - categorical_accuracy: 0.9815 - val_loss: 0.5409 - val_categorical_accuracy: 0.9061 - 394ms/epoch - 8ms/step
Epoch 1389/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9802 - val_loss: 0.5733 - val_categorical_accuracy: 0.8965 - 390ms/epoch - 8ms/step
Epoch 1390/1500
49/49 - 0s - loss: 0.3193 - categorical_accuracy: 0.9245 - val_loss: 0.4557 - val_categorical_accuracy: 0.9057 - 410ms/epoch - 8ms/step
Epoch 1391/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9792 - val_loss: 0.4793 - val_categorical_accuracy: 0.9121 - 430ms/epoch - 9ms/step
Epoch 1392/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9811 - val_loss: 0.4844 - val_categorical_accuracy: 0.9137 - 390ms/epoch - 8ms/step
Epoch 1393/1500
49/49 - 0s - loss: 0.0523 - categorical_accuracy: 0.9813 - val_loss: 0.4971 - val_categorical_accuracy: 0.9095 - 394ms/epoch - 8ms/step
Epoch 1394/1500
49/49 - 0s - loss: 0.0553 - categorical_accuracy: 0.9794 - val_loss: 0.5145 - val_categorical_accuracy: 0.9093 - 390ms/epoch - 8ms/step
Epoch 1395/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9808 - val_loss: 0.4958 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1396/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9817 - val_loss: 0.5128 - val_categorical_accuracy: 0.9134 - 390ms/epoch - 8ms/step
Epoch 1397/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9813 - val_loss: 0.5157 - val_categorical_accuracy: 0.9080 - 420ms/epoch - 9ms/step
Epoch 1398/1500
49/49 - 0s - loss: 0.0613 - categorical_accuracy: 0.9780 - val_loss: 0.5084 - val_categorical_accuracy: 0.9127 - 434ms/epoch - 9ms/step
Epoch 1399/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9821 - val_loss: 0.5110 - val_categorical_accuracy: 0.9122 - 400ms/epoch - 8ms/step
Epoch 1400/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9788 - val_loss: 0.5208 - val_categorical_accuracy: 0.9105 - 400ms/epoch - 8ms/step
Epoch 1401/1500
49/49 - 0s - loss: 0.0527 - categorical_accuracy: 0.9805 - val_loss: 0.5459 - val_categorical_accuracy: 0.9066 - 400ms/epoch - 8ms/step
Epoch 1402/1500
49/49 - 0s - loss: 0.0495 - categorical_accuracy: 0.9818 - val_loss: 0.5044 - val_categorical_accuracy: 0.9155 - 400ms/epoch - 8ms/step
Epoch 1403/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9802 - val_loss: 0.5200 - val_categorical_accuracy: 0.9081 - 394ms/epoch - 8ms/step
Epoch 1404/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9811 - val_loss: 0.5797 - val_categorical_accuracy: 0.8993 - 390ms/epoch - 8ms/step
Epoch 1405/1500
49/49 - 0s - loss: 0.2431 - categorical_accuracy: 0.9417 - val_loss: 0.4562 - val_categorical_accuracy: 0.9106 - 390ms/epoch - 8ms/step
Epoch 1406/1500
49/49 - 0s - loss: 0.0561 - categorical_accuracy: 0.9800 - val_loss: 0.4721 - val_categorical_accuracy: 0.9137 - 390ms/epoch - 8ms/step
Epoch 1407/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9823 - val_loss: 0.4799 - val_categorical_accuracy: 0.9183 - 390ms/epoch - 8ms/step
Epoch 1408/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9825 - val_loss: 0.4913 - val_categorical_accuracy: 0.9147 - 390ms/epoch - 8ms/step
Epoch 1409/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9819 - val_loss: 0.4882 - val_categorical_accuracy: 0.9184 - 390ms/epoch - 8ms/step
Epoch 1410/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9822 - val_loss: 0.5049 - val_categorical_accuracy: 0.9132 - 410ms/epoch - 8ms/step
Epoch 1411/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5204 - val_categorical_accuracy: 0.9080 - 430ms/epoch - 9ms/step
Epoch 1412/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9814 - val_loss: 0.5123 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1413/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9776 - val_loss: 0.5243 - val_categorical_accuracy: 0.9056 - 390ms/epoch - 8ms/step
Epoch 1414/1500
49/49 - 1s - loss: 0.0522 - categorical_accuracy: 0.9807 - val_loss: 0.5097 - val_categorical_accuracy: 0.9123 - 560ms/epoch - 11ms/step
Epoch 1415/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9818 - val_loss: 0.4937 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1416/1500
49/49 - 0s - loss: 0.0482 - categorical_accuracy: 0.9823 - val_loss: 0.5472 - val_categorical_accuracy: 0.9048 - 390ms/epoch - 8ms/step
Epoch 1417/1500
49/49 - 0s - loss: 0.0620 - categorical_accuracy: 0.9771 - val_loss: 0.5423 - val_categorical_accuracy: 0.9080 - 420ms/epoch - 9ms/step
Epoch 1418/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9809 - val_loss: 0.5122 - val_categorical_accuracy: 0.9159 - 430ms/epoch - 9ms/step
Epoch 1419/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9815 - val_loss: 0.5114 - val_categorical_accuracy: 0.9166 - 430ms/epoch - 9ms/step
Epoch 1420/1500
49/49 - 0s - loss: 0.0542 - categorical_accuracy: 0.9798 - val_loss: 0.5550 - val_categorical_accuracy: 0.8999 - 420ms/epoch - 9ms/step
Epoch 1421/1500
49/49 - 0s - loss: 0.1745 - categorical_accuracy: 0.9544 - val_loss: 0.4748 - val_categorical_accuracy: 0.9096 - 390ms/epoch - 8ms/step
Epoch 1422/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9805 - val_loss: 0.4773 - val_categorical_accuracy: 0.9142 - 400ms/epoch - 8ms/step
Epoch 1423/1500
49/49 - 0s - loss: 0.0496 - categorical_accuracy: 0.9818 - val_loss: 0.4849 - val_categorical_accuracy: 0.9174 - 390ms/epoch - 8ms/step
Epoch 1424/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9824 - val_loss: 0.5192 - val_categorical_accuracy: 0.9113 - 390ms/epoch - 8ms/step
Epoch 1425/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9813 - val_loss: 0.4985 - val_categorical_accuracy: 0.9144 - 400ms/epoch - 8ms/step
Epoch 1426/1500
49/49 - 0s - loss: 0.0486 - categorical_accuracy: 0.9821 - val_loss: 0.5104 - val_categorical_accuracy: 0.9146 - 390ms/epoch - 8ms/step
Epoch 1427/1500
49/49 - 0s - loss: 0.0480 - categorical_accuracy: 0.9821 - val_loss: 0.5155 - val_categorical_accuracy: 0.9131 - 414ms/epoch - 8ms/step
Epoch 1428/1500
49/49 - 0s - loss: 0.1735 - categorical_accuracy: 0.9528 - val_loss: 0.5085 - val_categorical_accuracy: 0.9035 - 390ms/epoch - 8ms/step
Epoch 1429/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9812 - val_loss: 0.4768 - val_categorical_accuracy: 0.9125 - 400ms/epoch - 8ms/step
Epoch 1430/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9814 - val_loss: 0.5004 - val_categorical_accuracy: 0.9127 - 400ms/epoch - 8ms/step
Epoch 1431/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9819 - val_loss: 0.5071 - val_categorical_accuracy: 0.9136 - 400ms/epoch - 8ms/step
Epoch 1432/1500
49/49 - 0s - loss: 0.0485 - categorical_accuracy: 0.9823 - val_loss: 0.5048 - val_categorical_accuracy: 0.9152 - 410ms/epoch - 8ms/step
Epoch 1433/1500
49/49 - 0s - loss: 0.0539 - categorical_accuracy: 0.9798 - val_loss: 0.5158 - val_categorical_accuracy: 0.9105 - 390ms/epoch - 8ms/step
Epoch 1434/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9815 - val_loss: 0.5378 - val_categorical_accuracy: 0.9052 - 400ms/epoch - 8ms/step
Epoch 1435/1500
49/49 - 0s - loss: 0.1681 - categorical_accuracy: 0.9515 - val_loss: 0.4604 - val_categorical_accuracy: 0.9131 - 392ms/epoch - 8ms/step
Epoch 1436/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9812 - val_loss: 0.4719 - val_categorical_accuracy: 0.9177 - 400ms/epoch - 8ms/step
Epoch 1437/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9822 - val_loss: 0.4835 - val_categorical_accuracy: 0.9166 - 414ms/epoch - 8ms/step
Epoch 1438/1500
49/49 - 0s - loss: 0.0477 - categorical_accuracy: 0.9826 - val_loss: 0.5052 - val_categorical_accuracy: 0.9130 - 390ms/epoch - 8ms/step
Epoch 1439/1500
49/49 - 0s - loss: 0.0494 - categorical_accuracy: 0.9817 - val_loss: 0.5067 - val_categorical_accuracy: 0.9125 - 390ms/epoch - 8ms/step
Epoch 1440/1500
49/49 - 0s - loss: 0.0538 - categorical_accuracy: 0.9804 - val_loss: 0.4933 - val_categorical_accuracy: 0.9169 - 390ms/epoch - 8ms/step
Epoch 1441/1500
49/49 - 0s - loss: 0.0510 - categorical_accuracy: 0.9813 - val_loss: 0.5396 - val_categorical_accuracy: 0.9043 - 390ms/epoch - 8ms/step
Epoch 1442/1500
49/49 - 0s - loss: 0.0529 - categorical_accuracy: 0.9808 - val_loss: 0.5538 - val_categorical_accuracy: 0.9055 - 420ms/epoch - 9ms/step
Epoch 1443/1500
49/49 - 0s - loss: 0.0500 - categorical_accuracy: 0.9816 - val_loss: 0.5202 - val_categorical_accuracy: 0.9146 - 420ms/epoch - 9ms/step
Epoch 1444/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9805 - val_loss: 0.5177 - val_categorical_accuracy: 0.9124 - 400ms/epoch - 8ms/step
Epoch 1445/1500
49/49 - 0s - loss: 0.0525 - categorical_accuracy: 0.9805 - val_loss: 0.5243 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1446/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9823 - val_loss: 0.5310 - val_categorical_accuracy: 0.9135 - 400ms/epoch - 8ms/step
Epoch 1447/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9811 - val_loss: 0.5181 - val_categorical_accuracy: 0.9170 - 394ms/epoch - 8ms/step
Epoch 1448/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9818 - val_loss: 0.5198 - val_categorical_accuracy: 0.9162 - 410ms/epoch - 8ms/step
Epoch 1449/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9821 - val_loss: 0.5813 - val_categorical_accuracy: 0.8962 - 390ms/epoch - 8ms/step
Epoch 1450/1500
49/49 - 0s - loss: 0.1821 - categorical_accuracy: 0.9500 - val_loss: 0.4969 - val_categorical_accuracy: 0.9087 - 390ms/epoch - 8ms/step
Epoch 1451/1500
49/49 - 0s - loss: 0.0526 - categorical_accuracy: 0.9809 - val_loss: 0.5086 - val_categorical_accuracy: 0.9076 - 390ms/epoch - 8ms/step
Epoch 1452/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9816 - val_loss: 0.5121 - val_categorical_accuracy: 0.9101 - 390ms/epoch - 8ms/step
Epoch 1453/1500
49/49 - 0s - loss: 0.0492 - categorical_accuracy: 0.9822 - val_loss: 0.5621 - val_categorical_accuracy: 0.9021 - 410ms/epoch - 8ms/step
Epoch 1454/1500
49/49 - 0s - loss: 0.0517 - categorical_accuracy: 0.9810 - val_loss: 0.5216 - val_categorical_accuracy: 0.9131 - 420ms/epoch - 9ms/step
Epoch 1455/1500
49/49 - 0s - loss: 0.0504 - categorical_accuracy: 0.9812 - val_loss: 0.5200 - val_categorical_accuracy: 0.9102 - 430ms/epoch - 9ms/step
Epoch 1456/1500
49/49 - 0s - loss: 0.0608 - categorical_accuracy: 0.9784 - val_loss: 0.5239 - val_categorical_accuracy: 0.9098 - 390ms/epoch - 8ms/step
Epoch 1457/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9818 - val_loss: 0.5278 - val_categorical_accuracy: 0.9102 - 390ms/epoch - 8ms/step
Epoch 1458/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9815 - val_loss: 0.5413 - val_categorical_accuracy: 0.9091 - 390ms/epoch - 8ms/step
Epoch 1459/1500
49/49 - 0s - loss: 0.0497 - categorical_accuracy: 0.9817 - val_loss: 0.5131 - val_categorical_accuracy: 0.9153 - 390ms/epoch - 8ms/step
Epoch 1460/1500
49/49 - 0s - loss: 0.0469 - categorical_accuracy: 0.9830 - val_loss: 0.5411 - val_categorical_accuracy: 0.9116 - 390ms/epoch - 8ms/step
Epoch 1461/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9818 - val_loss: 0.5485 - val_categorical_accuracy: 0.9081 - 410ms/epoch - 8ms/step
Epoch 1462/1500
49/49 - 0s - loss: 0.0967 - categorical_accuracy: 0.9703 - val_loss: 1.6334 - val_categorical_accuracy: 0.7748 - 424ms/epoch - 9ms/step
Epoch 1463/1500
49/49 - 0s - loss: 0.1235 - categorical_accuracy: 0.9632 - val_loss: 0.5104 - val_categorical_accuracy: 0.9068 - 400ms/epoch - 8ms/step
Epoch 1464/1500
49/49 - 0s - loss: 0.0509 - categorical_accuracy: 0.9818 - val_loss: 0.5242 - val_categorical_accuracy: 0.9073 - 400ms/epoch - 8ms/step
Epoch 1465/1500
49/49 - 0s - loss: 0.0576 - categorical_accuracy: 0.9787 - val_loss: 0.5055 - val_categorical_accuracy: 0.9132 - 390ms/epoch - 8ms/step
Epoch 1466/1500
49/49 - 0s - loss: 0.0493 - categorical_accuracy: 0.9817 - val_loss: 0.5263 - val_categorical_accuracy: 0.9120 - 390ms/epoch - 8ms/step
Epoch 1467/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9820 - val_loss: 0.5219 - val_categorical_accuracy: 0.9122 - 395ms/epoch - 8ms/step
Epoch 1468/1500
49/49 - 0s - loss: 0.0489 - categorical_accuracy: 0.9819 - val_loss: 0.5418 - val_categorical_accuracy: 0.9089 - 390ms/epoch - 8ms/step
Epoch 1469/1500
49/49 - 0s - loss: 0.0532 - categorical_accuracy: 0.9805 - val_loss: 0.5161 - val_categorical_accuracy: 0.9153 - 410ms/epoch - 8ms/step
Epoch 1470/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9821 - val_loss: 0.5471 - val_categorical_accuracy: 0.9061 - 440ms/epoch - 9ms/step
Epoch 1471/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5168 - val_categorical_accuracy: 0.9143 - 390ms/epoch - 8ms/step
Epoch 1472/1500
49/49 - 0s - loss: 0.0514 - categorical_accuracy: 0.9811 - val_loss: 0.6413 - val_categorical_accuracy: 0.8872 - 394ms/epoch - 8ms/step
Epoch 1473/1500
49/49 - 0s - loss: 0.2291 - categorical_accuracy: 0.9449 - val_loss: 0.4730 - val_categorical_accuracy: 0.9086 - 400ms/epoch - 8ms/step
Epoch 1474/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9810 - val_loss: 0.4862 - val_categorical_accuracy: 0.9115 - 400ms/epoch - 8ms/step
Epoch 1475/1500
49/49 - 0s - loss: 0.0499 - categorical_accuracy: 0.9818 - val_loss: 0.4953 - val_categorical_accuracy: 0.9135 - 390ms/epoch - 8ms/step
Epoch 1476/1500
49/49 - 0s - loss: 0.0479 - categorical_accuracy: 0.9822 - val_loss: 0.5234 - val_categorical_accuracy: 0.9132 - 400ms/epoch - 8ms/step
Epoch 1477/1500
49/49 - 0s - loss: 0.0531 - categorical_accuracy: 0.9806 - val_loss: 0.5465 - val_categorical_accuracy: 0.9042 - 390ms/epoch - 8ms/step
Epoch 1478/1500
49/49 - 0s - loss: 0.0534 - categorical_accuracy: 0.9806 - val_loss: 0.5124 - val_categorical_accuracy: 0.9128 - 420ms/epoch - 9ms/step
Epoch 1479/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5224 - val_categorical_accuracy: 0.9127 - 390ms/epoch - 8ms/step
Epoch 1480/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9812 - val_loss: 0.5200 - val_categorical_accuracy: 0.9109 - 390ms/epoch - 8ms/step
Epoch 1481/1500
49/49 - 0s - loss: 0.0594 - categorical_accuracy: 0.9785 - val_loss: 0.5124 - val_categorical_accuracy: 0.9128 - 390ms/epoch - 8ms/step
Epoch 1482/1500
49/49 - 0s - loss: 0.0560 - categorical_accuracy: 0.9799 - val_loss: 0.5469 - val_categorical_accuracy: 0.9038 - 390ms/epoch - 8ms/step
Epoch 1483/1500
49/49 - 0s - loss: 0.1115 - categorical_accuracy: 0.9678 - val_loss: 0.5030 - val_categorical_accuracy: 0.9118 - 400ms/epoch - 8ms/step
Epoch 1484/1500
49/49 - 0s - loss: 0.0481 - categorical_accuracy: 0.9826 - val_loss: 0.5191 - val_categorical_accuracy: 0.9107 - 410ms/epoch - 8ms/step
Epoch 1485/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9820 - val_loss: 0.5029 - val_categorical_accuracy: 0.9169 - 420ms/epoch - 9ms/step
Epoch 1486/1500
49/49 - 0s - loss: 0.0468 - categorical_accuracy: 0.9828 - val_loss: 0.5248 - val_categorical_accuracy: 0.9119 - 400ms/epoch - 8ms/step
Epoch 1487/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9813 - val_loss: 0.5229 - val_categorical_accuracy: 0.9149 - 390ms/epoch - 8ms/step
Epoch 1488/1500
49/49 - 0s - loss: 0.0491 - categorical_accuracy: 0.9817 - val_loss: 0.5769 - val_categorical_accuracy: 0.9008 - 390ms/epoch - 8ms/step
Epoch 1489/1500
49/49 - 0s - loss: 0.0649 - categorical_accuracy: 0.9770 - val_loss: 0.5690 - val_categorical_accuracy: 0.9013 - 400ms/epoch - 8ms/step
Epoch 1490/1500
49/49 - 0s - loss: 0.0513 - categorical_accuracy: 0.9812 - val_loss: 0.5188 - val_categorical_accuracy: 0.9128 - 420ms/epoch - 9ms/step
Epoch 1491/1500
49/49 - 0s - loss: 0.0479 - categorical_accuracy: 0.9826 - val_loss: 0.5312 - val_categorical_accuracy: 0.9110 - 390ms/epoch - 8ms/step
Epoch 1492/1500
49/49 - 0s - loss: 0.0505 - categorical_accuracy: 0.9812 - val_loss: 0.6209 - val_categorical_accuracy: 0.8922 - 394ms/epoch - 8ms/step
Epoch 1493/1500
49/49 - 0s - loss: 0.3526 - categorical_accuracy: 0.9178 - val_loss: 0.4488 - val_categorical_accuracy: 0.9113 - 400ms/epoch - 8ms/step
Epoch 1494/1500
49/49 - 0s - loss: 0.0577 - categorical_accuracy: 0.9797 - val_loss: 0.4981 - val_categorical_accuracy: 0.9052 - 390ms/epoch - 8ms/step
Epoch 1495/1500
49/49 - 0s - loss: 0.0545 - categorical_accuracy: 0.9805 - val_loss: 0.4935 - val_categorical_accuracy: 0.9112 - 410ms/epoch - 8ms/step
Epoch 1496/1500
49/49 - 0s - loss: 0.0490 - categorical_accuracy: 0.9823 - val_loss: 0.5028 - val_categorical_accuracy: 0.9125 - 420ms/epoch - 9ms/step
Epoch 1497/1500
49/49 - 0s - loss: 0.0487 - categorical_accuracy: 0.9826 - val_loss: 0.4927 - val_categorical_accuracy: 0.9152 - 400ms/epoch - 8ms/step
Epoch 1498/1500
49/49 - 0s - loss: 0.0488 - categorical_accuracy: 0.9822 - val_loss: 0.5359 - val_categorical_accuracy: 0.9068 - 390ms/epoch - 8ms/step
Epoch 1499/1500
49/49 - 0s - loss: 0.0506 - categorical_accuracy: 0.9815 - val_loss: 0.5167 - val_categorical_accuracy: 0.9088 - 390ms/epoch - 8ms/step
Epoch 1500/1500
49/49 - 0s - loss: 0.0518 - categorical_accuracy: 0.9809 - val_loss: 0.6432 - val_categorical_accuracy: 0.8882 - 390ms/epoch - 8ms/step

#reticulate::py_last_error()

#We can then compute the average of the per-epoch ACC scores for all folds:

average_acc_history <- data.frame(
  epoch = seq(1:ncol(all_acc_histories)),
  validation_acc = apply(all_acc_histories, 2, mean)
)


head(max(average_acc_history$validation_acc))

[1] 0.9077643

library(ggplot2)
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_line()

#It may be a bit hard to see the plot due to scaling issues and relatively high variance. Let's use `geom_smooth()` to try to get a clearer picture:
ggplot(average_acc_history, aes(x = epoch, y = validation_acc)) + geom_smooth()

# Evaluate on Testset
eval <- evaluate(model, test_data, test_targets, verbose = 1)

  1/423 [..............................] - ETA: 9s - loss: 1.5034 - categorical_accuracy: 0.8750
  6/423 [..............................] - ETA: 4s - loss: 2.0205 - categorical_accuracy: 0.8229
 16/423 [>.............................] - ETA: 2s - loss: 2.3801 - categorical_accuracy: 0.7461
 24/423 [>.............................] - ETA: 2s - loss: 2.5280 - categorical_accuracy: 0.7539
 35/423 [=>............................] - ETA: 2s - loss: 2.5777 - categorical_accuracy: 0.7545
 45/423 [==>...........................] - ETA: 2s - loss: 2.4912 - categorical_accuracy: 0.7535
 55/423 [==>...........................] - ETA: 2s - loss: 2.3174 - categorical_accuracy: 0.7665
 66/423 [===>..........................] - ETA: 2s - loss: 2.3291 - categorical_accuracy: 0.7652
 79/423 [====>.........................] - ETA: 1s - loss: 2.3590 - categorical_accuracy: 0.7595
 91/423 [=====>........................] - ETA: 1s - loss: 2.3452 - categorical_accuracy: 0.7593
105/423 [======>.......................] - ETA: 1s - loss: 2.3377 - categorical_accuracy: 0.7580
116/423 [=======>......................] - ETA: 1s - loss: 2.3789 - categorical_accuracy: 0.7575
125/423 [=======>......................] - ETA: 1s - loss: 2.4049 - categorical_accuracy: 0.7570
131/423 [========>.....................] - ETA: 1s - loss: 2.4160 - categorical_accuracy: 0.7560
138/423 [========>.....................] - ETA: 1s - loss: 2.3951 - categorical_accuracy: 0.7559
153/423 [=========>....................] - ETA: 1s - loss: 2.4037 - categorical_accuracy: 0.7549
168/423 [==========>...................] - ETA: 1s - loss: 2.4238 - categorical_accuracy: 0.7532
183/423 [===========>..................] - ETA: 1s - loss: 2.4118 - categorical_accuracy: 0.7524
198/423 [=============>................] - ETA: 1s - loss: 2.4077 - categorical_accuracy: 0.7530
213/423 [==============>...............] - ETA: 1s - loss: 2.4333 - categorical_accuracy: 0.7519
227/423 [===============>..............] - ETA: 0s - loss: 2.4405 - categorical_accuracy: 0.7507
245/423 [================>.............] - ETA: 0s - loss: 2.4783 - categorical_accuracy: 0.7492
263/423 [=================>............] - ETA: 0s - loss: 2.4526 - categorical_accuracy: 0.7511
281/423 [==================>...........] - ETA: 0s - loss: 2.4384 - categorical_accuracy: 0.7529
300/423 [====================>.........] - ETA: 0s - loss: 2.4467 - categorical_accuracy: 0.7515
321/423 [=====================>........] - ETA: 0s - loss: 2.4438 - categorical_accuracy: 0.7503
341/423 [=======================>......] - ETA: 0s - loss: 2.4679 - categorical_accuracy: 0.7489
361/423 [========================>.....] - ETA: 0s - loss: 2.4583 - categorical_accuracy: 0.7494
380/423 [=========================>....] - ETA: 0s - loss: 2.4434 - categorical_accuracy: 0.7512
399/423 [===========================>..] - ETA: 0s - loss: 2.4454 - categorical_accuracy: 0.7516
419/423 [============================>.] - ETA: 0s - loss: 2.4387 - categorical_accuracy: 0.7525
423/423 [==============================] - 2s 4ms/step - loss: 2.4393 - categorical_accuracy: 0.7526

423/423 [==============================] - 2s 4ms/step - loss: 2.4393 - categorical_accuracy: 0.7526

head(eval)

                loss categorical_accuracy 
           2.4393477            0.7526436 

# Save model and history, please change the name
# write.csv(average_acc_history, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/Try 9.csv", row.names=FALSE)
# save_model_hdf5(model, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/model 9.hfd5", overwrite = TRUE, include_optimizer = TRUE)

# Save Training, Testing and Validation Data
# write.csv(train_data, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/train_data.csv", row.names=FALSE)
# write.csv(test_data, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/test_data.csv", row.names=FALSE)
# write.csv(train_targets, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/train_targets.csv", row.names=FALSE)
# write.csv(test_targets, "../Doc/Versuch 9 - 8 Layer - 1 256 - Smote/test_targets.csv", row.names=FALSE)


# Load model
# Use model_history as precaution
# model_history <- load_model_hdf5("../Doc/Versuch 6/model 6.hfd5", custom_objects = NULL, compile = TRUE)